default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHuan Liu 0001
Person information
- affiliation: Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA
- affiliation (1994 - 2001): National University of Singapore, School of Computing, Singapore
- affiliation (1989 - 1993): Telecom Australia Research Laboratories, Melbourne, Australia
- affiliation (PhD 1989): University of Southern California, Los Angeles, CA, USA
Other persons with the same name
- Huan Liu — disambiguation page
- Huan Liu 0002
![[0000-0001-9316-4749]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9316-4749")
— China University of Geosciences, Department of Institute of Geophysics & Geomatics, Wuhan, China - Huan Liu 0003 — Beihang University, School of Chemical Science and Engineering, Beijing, China
- Huan Liu 0004 — Jinggangshan University, School of Electronics and Information Engineering, Ji'an, China
- Huan Liu 0005 — Xi'an University of Technology, Department of Electrical Engineering, China
- Huan Liu 0006 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Huan Liu 0007 — University of Science and Technology of China, School of Computer Science and Technology, Suzhou Institute for Advanced Study, Hefei, China
- Huan Liu 0008 — University of Calgary, Department of Geomatics Engineering, Calgary, Canada
- Huan Liu 0009 — University of Naples Federico II, Interdepartmental Center for Advances in Robotic Surgery, Naples, Italy (and 1 more)
- Huan Liu 0010 — Hong Kong Polytechnic University, Department of Building and Real Estate, Hong Kong
- Huan Liu 0011 — Shandong University, School of Mathematics, Jinan, China
- Huan Liu 0012 — Xi'an Jiaotong University, School of Computer Science and Technology, China
- Huan Liu 0013 — Kyoto University, Disaster Prevention Research Institute, Japan
- Huan Liu 0014 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j166]Junrui Liu, Tong Li, Zhen Yang, Di Wu, Huan Liu:
Fusion learning of preference and bias from ratings and reviews for item recommendation. Data Knowl. Eng. 150: 102283 (2024)- [j165]Yougang Xiao, Yuhan Li, Huan Liu, Yingguo Chen, Yalin Wang, Guohua Wu:
Adaptive large neighborhood search algorithm with reinforcement search strategy for solving extended cooperative multi task assignment problem of UAVs. Inf. Sci. 679: 121068 (2024) - [j164]Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized few-shot node classification: toward an uncertainty-based solution. Knowl. Inf. Syst. 66(2): 1205-1229 (2024) - [j163]Huan Liu, Guohua Wu, Bin Ji, Ling Wang:
Multiobjective Variable Neighborhood Descent for Heterogeneous Multi-UAV Coordinated Scheduling. IEEE Trans. Aerosp. Electron. Syst. 60(2): 1808-1823 (2024) - [j162]Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu:
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification. ACM Trans. Knowl. Discov. Data 18(4): 83:1-83:18 (2024) - [j161]Kaize Ding, Elnaz Nouri, Guoqing Zheng, Huan Liu, Ryen White:
Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11661-11670 (2024) - [j160]Haiyang Yu, Runtong Xu, Hui Zhang, Zhen Yang, Huan Liu:
EV-FL: Efficient Verifiable Federated Learning With Weighted Aggregation for Industrial IoT Networks. IEEE/ACM Trans. Netw. 32(2): 1723-1737 (2024) - [j159]Fahim Tasneema Azad, K. Selçuk Candan, Ahmet Kapkiç, Mao-Lin Li, Huan Liu, Pratanu Mandal, Paras Sheth, Bilgehan Arslan, Gerardo Chowell-Puente, John Sabo, Rebecca Muenich, Javier Redondo Anton, Maria Luisa Sapino:
(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning. ACM Trans. Spatial Algorithms Syst. 10(2): 14 (2024) - [c414]Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong:
Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI 2024: 12976-12984 - [c413]Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu:
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. AAAI 2024: 21619-21627 - [c412]Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Ying-Chih Chen:
CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs. AAAI 2024: 23164-23172 - [c411]Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu:
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. DSAA 2024: 1-10 - [c410]Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu:
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. DSAA 2024: 1-10 - [c409]Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu:
Contextualization Distillation from Large Language Model for Knowledge Graph Completion. EACL (Findings) 2024: 458-477 - [c408]Bahman Moraffah, Huan Liu:
Exploiting Class Probabilities for Black-box Sentence-level Attacks. EACL (Findings) 2024: 1557-1568 - [c407]Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Facial Affective Behavior Analysis with Instruction Tuning. ECCV (18) 2024: 165-186 - [c406]Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu:
Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. ICWSM 2024: 738-750 - [c405]Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen:
A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. KDD 2024: 3200-3211 - [c404]Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu:
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD 2024: 6749-6750 - [c403]Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi, Huan Liu:
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey. NAACL-HLT 2024: 3947-3960 - [c402]Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) 2024: 56-74 - [c401]Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu:
Adversarial Text Purification: A Large Language Model Approach for Defense. PAKDD (5) 2024: 65-77 - [c400]Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang:
Label Distribution Learning-Enhanced Dual-KNN for Text Classification. SDM 2024: 400-408 - [c399]Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu:
Disinformation Detection: An Evolving Challenge in the Age of LLMs. SDM 2024: 427-435 - [c398]Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, Huan Liu:
User Migration across Multiple Social Media Platforms. SDM 2024: 436-444 - [c397]Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu:
ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement. SIGIR 2024: 2781-2785 - [c396]Zhangsihao Yang, Kaize Ding, Huan Liu, Yalin Wang:
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders. WACV 2024: 3291-3301 - [c395]Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu:
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. WSDM 2024: 626-635 - [i168]Dawei Li, Zhen Tan, Tianlong Chen, Huan Liu:
Contextualization Distillation from Large Language Model for Knowledge Graph Completion. CoRR abs/2402.01729 (2024) - [i167]Raha Moraffah, Huan Liu:
Exploiting Class Probabilities for Black-box Sentence-level Attacks. CoRR abs/2402.02695 (2024) - [i166]Raha Moraffah, Paras Sheth, Saketh Vishnubhatla, Huan Liu:
Causal Feature Selection for Responsible Machine Learning. CoRR abs/2402.02696 (2024) - [i165]Raha Moraffah, Huan Liu:
A Generative Approach to Surrogate-based Black-box Attacks. CoRR abs/2402.02732 (2024) - [i164]Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu:
ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement. CoRR abs/2402.06221 (2024) - [i163]Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu:
Adversarial Text Purification: A Large Language Model Approach for Defense. CoRR abs/2402.06655 (2024) - [i162]Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation: A Survey. CoRR abs/2402.13446 (2024) - [i161]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu:
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. CoRR abs/2402.14859 (2024) - [i160]Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li:
GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR abs/2403.01071 (2024) - [i159]Tharindu Kumarage, Garima Agrawal, Paras Sheth, Raha Moraffah, Aman Chadha, Joshua Garland, Huan Liu:
A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. CoRR abs/2403.01152 (2024) - [i158]Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu:
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. CoRR abs/2403.04009 (2024) - [i157]Zhen Tan, Jie Peng, Tianlong Chen, Huan Liu:
Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach. CoRR abs/2403.05636 (2024) - [i156]Anique Tahir, Lu Cheng, Huan Liu:
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning. CoRR abs/2403.11366 (2024) - [i155]Ayushi Nirmal, Amrita Bhattacharjee, Paras Sheth, Huan Liu:
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales. CoRR abs/2403.12403 (2024) - [i154]Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu:
EAGLE: A Domain Generalization Framework for AI-generated Text Detection. CoRR abs/2403.15690 (2024) - [i153]Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Facial Affective Behavior Analysis with Instruction Tuning. CoRR abs/2404.05052 (2024) - [i152]Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. CoRR abs/2404.11036 (2024) - [i151]Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu:
Zero-shot LLM-guided Counterfactual Generation for Text. CoRR abs/2405.04793 (2024) - [i150]Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR abs/2405.04819 (2024) - [i149]Siddhant Bhambri, Amrita Bhattacharjee, Huan Liu, Subbarao Kambhampati:
Efficient Reinforcement Learning via Large Language Model-based Search. CoRR abs/2405.15194 (2024) - [i148]Yoonhyuk Choi, Reepal Shah, John Sabo, K. Selcuk Candan, Huan Liu:
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation. CoRR abs/2406.05578 (2024) - [i147]Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, Huan Liu, Julia Hirschberg:
Defending Against Social Engineering Attacks in the Age of LLMs. CoRR abs/2406.12263 (2024) - [i146]Bohan Jiang, Chengshuai Zhao, Zhen Tan, Huan Liu:
Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models. CoRR abs/2406.17992 (2024) - [i145]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR abs/2406.19417 (2024) - [i144]Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi, Huan Liu:
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation. CoRR abs/2407.12216 (2024) - [i143]Ujun Jeong, Bohan Jiang, Zhen Tan, H. Russell Bernard, Huan Liu:
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social. CoRR abs/2407.17451 (2024) - [i142]Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu:
Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning. CoRR abs/2407.21264 (2024) - [i141]Dawei Li, Zhen Tan, Huan Liu:
Exploring Large Language Models for Feature Selection: A Data-centric Perspective. CoRR abs/2408.12025 (2024) - [i140]Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan:
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. CoRR abs/2409.08419 (2024) - 2023
- [b10]Lu Cheng, Huan Liu:
Socially Responsible AI - Theories and Practices. WorldScientific 2023, ISBN 9789811266621, pp. 1-196 - [j158]Huan Liu, Fuqing Zhao, Ling Wang, Jie Cao, Jianxin Tang, Jonrinaldi:
An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time. Appl. Intell. 53(5): 5160-5178 (2023) - [j157]Feng Xia, Leman Akoglu, Charu Aggarwal, Huan Liu:
Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection. IEEE Intell. Syst. 38(2): 32-35 (2023) - [j156]Garima Agrawal, Dimitri P. Bertsekas, Huan Liu:
Auction-Based Learning for Question Answering over Knowledge Graphs. Inf. 14(6): 336 (2023) - [j155]Amrita Bhattacharjee, Huan Liu:
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? SIGKDD Explor. 25(2): 14-21 (2023) - [j154]Shisong Yang, Yuwen Chen, Zhen Yang, Bowen Li, Huan Liu:
Fast Secure Aggregation With High Dropout Resilience for Federated Learning. IEEE Trans. Green Commun. Netw. 7(3): 1501-1514 (2023) - [j153]Fangyu Hong, Guohua Wu, Qizhang Luo, Huan Liu, Xiaoping Fang, Witold Pedrycz:
Logistics in the Sky: A Two-Phase Optimization Approach for the Drone Package Pickup and Delivery System. IEEE Trans. Intell. Transp. Syst. 24(9): 9175-9190 (2023) - [j152]Huan Liu, Guohua Wu, Ling Zhou, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment. IEEE Trans. Intell. Transp. Syst. 24(11): 12062-12077 (2023) - [j151]Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu, Huan Liu:
CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations. ACM Trans. Knowl. Discov. Data 17(2): 20:1-20:24 (2023) - [j150]Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, Kasim Selçuk Candan:
Causal Disentanglement for Implicit Recommendations with Network Information. ACM Trans. Knowl. Discov. Data 17(7): 94:1-94:18 (2023) - [j149]Zhen Yang, Ming Zhou, Haiyang Yu, Richard O. Sinnott, Huan Liu:
Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation. IEEE Trans. Netw. Sci. Eng. 10(1): 205-222 (2023) - [c394]Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu:
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. AAAI 2023: 7378-7386 - [c393]Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Chitta Baral:
AISecKG: Knowledge Graph Dataset for Cybersecurity Education. AAAI Spring Symposium: MAKE 2023 - [c392]Faisal Alatawi, Paras Sheth, Huan Liu:
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. ASONAM 2023: 38-45 - [c391]Anique Tahir, Lu Cheng, Huan Liu:
Fairness through Aleatoric Uncertainty. CIKM 2023: 2372-2381 - [c390]Zhen Yang, Junrui Liu, Tong Li, Di Wu, Shiqiu Yang, Huan Liu:
A Two-tier Shared Embedding Method for Review-based Recommender Systems. CIKM 2023: 2928-2938 - [c389]Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong:
Learning Node Abnormality with Weak Supervision. CIKM 2023: 3584-3594 - [c388]Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan:
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. CIKM 2023: 4815-4821 - [c387]Tharindu Kumarage, Huan Liu:
Neural Authorship Attribution: Stylometric Analysis on Large Language Models. CyberC 2023: 51-54 - [c386]Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu:
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. EMNLP (Findings) 2023: 1337-1349 - [c385]Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu:
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. ICDM (Workshops) 2023: 1430-1437 - [c384]Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott W. Ruston, Huan Liu, Joshua Garland:
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. IJCNLP (1) 2023: 484-497 - [c383]Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu:
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. IJCNLP (1) 2023: 598-610 - [c382]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. KDD 2023: 1559-1571 - [c381]Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu:
Virtual Node Tuning for Few-shot Node Classification. KDD 2023: 2177-2188 - [c380]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. KDD 2023: 2386-2397 - [c379]Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu:
Socially Responsible Machine Learning: A Causal Perspective. KDD 2023: 5819-5820 - [c378]Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework. ECML/PKDD (1) 2023: 559-575 - [c377]Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu:
Inductive Linear Probing for Few-Shot Node Classification. SBP-BRiMS 2023: 274-284 - [c376]Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng:
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. SIGIR 2023: 2062-2066 - [c375]Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown:
Towards Detecting Harmful Agendas in News Articles. WASSA@ACL 2023: 110-128 - [c374]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. WSDM 2023: 339-347 - [i139]Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown:
Detecting Harmful Agendas in News Articles. CoRR abs/2302.00102 (2023) - [i138]Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong:
STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR abs/2302.05428 (2023) - [i137]Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott W. Ruston, Huan Liu:
Stylometric Detection of AI-Generated Text in Twitter Timelines. CoRR abs/2303.03697 (2023) - [i136]Anique Tahir, Lu Cheng, Huan Liu:
Fairness through Aleatoric Uncertainty. CoRR abs/2304.03646 (2023) - [i135]Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu:
Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. CoRR abs/2305.09196 (2023) - [i134]Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng:
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. CoRR abs/2305.17386 (2023) - [i133]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. CoRR abs/2305.18457 (2023) - [i132]Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu:
Virtual Node Tuning for Few-shot Node Classification. CoRR abs/2306.06063 (2023) - [i131]Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu:
Inductive Linear Probing for Few-shot Node Classification. CoRR abs/2306.08192 (2023) - [i130]Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework. CoRR abs/2306.08804 (2023) - [i129]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. CoRR abs/2306.15154 (2023) - [i128]Faisal Alatawi, Paras Sheth, Huan Liu:
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. CoRR abs/2307.04668 (2023) - [i127]Suraj Jyothi Unni, Paras Sheth, Kaize Ding, Huan Liu, K. Selçuk Candan:
UPREVE: An End-to-End Causal Discovery Benchmarking System. CoRR abs/2307.13757 (2023) - [i126]Amrita Bhattacharjee, Huan Liu:
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? CoRR abs/2308.01284 (2023) - [i125]Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu:
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. CoRR abs/2308.02011 (2023) - [i124]Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. CoRR abs/2308.02080 (2023) - [i123]Tharindu Kumarage, Huan Liu:
Neural Authorship Attribution: Stylometric Analysis on Large Language Models. CoRR abs/2308.07305 (2023) - [i122]Yougang Xiao, Hao Yang, Huan Liu, Keyu Wu, Guohua Wu:
UAV 3-D path planning based on MOEA/D with adaptive areal weight adjustment. CoRR abs/2308.10307 (2023) - [i121]Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott W. Ruston, Huan Liu, Joshua Garland:
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. CoRR abs/2309.03164 (2023) - [i120]Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu:
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. CoRR abs/2309.03992 (2023) - [i119]Ayushi Nirmal, Bohan Jiang, Huan Liu:
SocioHub: An Interactive Tool for Cross-Platform Social Media Data Collection. CoRR abs/2309.06525 (2023) - [i118]Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, Huan Liu:
User Migration across Multiple Social Media Platforms. CoRR abs/2309.12613 (2023) - [i117]Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu:
LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers? CoRR abs/2309.13340 (2023) - [i116]Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu:
STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation. CoRR abs/2309.15176 (2023) - [i115]Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu:
Disinformation Detection: An Evolving Challenge in the Age of LLMs. CoRR abs/2309.15847 (2023) - [i114]Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu:
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. CoRR abs/2310.05095 (2023) - [i113]Qihan Wang, Anique Tahir, Zeyad Alghamdi, Huan Liu:
Exploring Musical, Lyrical, and Network Dimensions of Music Sharing Among Depression Individuals. CoRR abs/2310.11557 (2023) - [i112]Suraj Jyothi Unni, Raha Moraffah, Huan Liu:
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization. CoRR abs/2311.00807 (2023) - [i111]Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR abs/2311.05014 (2023) - [i110]Garima Agrawal, Tharindu Kumarage, Zeyad Alghami, Huan Liu:
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey. CoRR abs/2311.07914 (2023) - [i109]Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu:
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. CoRR abs/2312.15033 (2023) - 2022
- [j148]Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu:
Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations". Neurocomputing 500: 241-242 (2022) - [j147]Garima Agrawal, Yuli Deng, Jongchan Park, Huan Liu, Ying-Chih Chen:
Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education. Inf. 13(11): 526 (2022) - [j146]Qianru Wang, Bin Guo, Yi Ouyang, Lu Cheng, Liang Wang, Zhiwen Yu, Huan Liu:
Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands. IEEE Internet Things J. 9(9): 7025-7035 (2022) - [j145]Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam:
Foreword to the special issue on dis/misinformation mining from social media. Inf. Process. Manag. 59(2): 102851 (2022) - [j144]Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, Huan Liu:
Characterizing multi-domain false news and underlying user effects on Chinese Weibo. Inf. Process. Manag. 59(4): 102959 (2022) - [j143]Wen Zhang, B. Blair Braden, Gustavo Miranda, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang:
Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning. Neuroinformatics 20(2): 301-316 (2022) - [j142]Zhenshi Zhang, Huan Liu, Guohua Wu:
A Dynamic Task Scheduling Method for Multiple UAVs Based on Contract Net Protocol. Sensors 22(12): 4486 (2022) - [j141]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. SIGKDD Explor. 24(2): 61-77 (2022) - [j140]K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins:
ACM WSDM 2022 report. SIGWEB Newsl. 2022(Summer): 1:1-1:6 (2022) - [j139]Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu:
Evaluation Methods and Measures for Causal Learning Algorithms. IEEE Trans. Artif. Intell. 3(6): 924-943 (2022) - [j138]Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, Huan Liu:
Collaborative Filtering With Network Representation Learning for Citation Recommendation. IEEE Trans. Big Data 8(5): 1233-1246 (2022) - [j137]Tuja Khaund, Baris Kirdemir, Nitin Agarwal, Huan Liu, Fred Morstatter:
Social Bots and Their Coordination During Online Campaigns: A Survey. IEEE Trans. Comput. Soc. Syst. 9(2): 530-545 (2022) - [j136]Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
An Autonomous Path Planning Method for Unmanned Aerial Vehicle Based on a Tangent Intersection and Target Guidance Strategy. IEEE Trans. Intell. Transp. Syst. 23(4): 3061-3073 (2022) - [j135]Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu:
Cross-Domain Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2406-2415 (2022) - [j134]Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu:
Deep Graph Learning for Anomalous Citation Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2543-2557 (2022) - [j133]Haiyang Yu, Zhen Yang, Shanshan Tu, Muhammad Waqas, Huan Liu:
Blockchain-Based Offline Auditing for the Cloud in Vehicular Networks. IEEE Trans. Netw. Serv. Manag. 19(3): 2944-2956 (2022) - [c373]Kaize Ding, Jianling Wang, James Caverlee, Huan Liu:
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. AAAI 2022: 6524-6531 - [c372]Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. IEEE Big Data 2022: 596-605 - [c371]Raha Moraffah, Paras Sheth, Huan Liu:
Exploring the Target Distribution for Surrogate-Based Black-Box Attacks. IEEE Big Data 2022: 1310-1315 - [c370]Paras Sheth, Ting Liu, Durmus Doner, Qi Deng, Yuhang Wei, Rebecca Muenich, John Sabo, K. Selçuk Candan, Huan Liu:
Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems. IEEE Big Data 2022: 5568-5577 - [c369]Paras Sheth, Reepal Shah, John Sabo, K. Selçuk Candan, Huan Liu:
STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems. IEEE Big Data 2022: 5578-5583 - [c368]Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu:
Distributional Shift Adaptation using Domain-Specific Features. IEEE Big Data 2022: 5593-5597 - [c367]Lu Cheng, Nayoung Kim, Huan Liu:
Debiasing Word Embeddings with Nonlinear Geometry. COLING 2022: 1286-1298 - [c366]Walaa Alnasser, Ghazaleh Beigi, Ahmadreza Mosallanezhad, Huan Liu:
PPSL: Privacy-Preserving Text Classification for Split Learning. ICDIS 2022: 160-167 - [c365]Raha Moraffah, Huan Liu:
Query-Efficient Target-Agnostic Black-Box Attack. ICDM 2022: 368-377 - [c364]Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized Few-Shot Node Classification. ICDM 2022: 608-617 - [c363]Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning. ICDM (Workshops) 2022: 732-739 - [c362]Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu:
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. ICWSM 2022: 67-78 - [c361]Amrita Bhattacharjee, Mansooreh Karami, Huan Liu:
Text Transformations in Contrastive Self-Supervised Learning: A Review. IJCAI 2022: 5394-5401 - [c360]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs. IJCAI 2022: 5662-5669 - [c359]Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu:
Toward Graph Minimally-Supervised Learning. KDD 2022: 4782-4783 - [c358]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD 2022 Workshop on Causal Discovery (CD2022). KDD 2022: 4884-4885 - [c357]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2022: 1-2 - [c356]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. LoG 2022: 4 - [c355]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Supervised Graph Contrastive Learning for Few-Shot Node Classification. ECML/PKDD (2) 2022: 394-411 - [c354]Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu:
"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation? ECML/PKDD (2) 2022: 588-604 - [c353]Ujun Jeong, Zeyad Alghamdi, Kaize Ding, Lu Cheng, Baoxin Li, Huan Liu:
Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph. SBP-BRiMS 2022: 35-45 - [c352]Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Bias Mitigation for Toxicity Detection via Sequential Decisions. SIGIR 2022: 1750-1760 - [c351]Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selçuk Candan, Huan Liu:
Causal Disentanglement with Network Information for Debiased Recommendations. SISAP 2022: 265-273 - [c350]Lu Cheng, Ruocheng Guo, Huan Liu:
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. WSDM 2022: 103-112 - [c349]Lu Cheng, Ruocheng Guo, Huan Liu:
Causal Mediation Analysis with Hidden Confounders. WSDM 2022: 113-122 - [c348]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Graph Few-shot Class-incremental Learning. WSDM 2022: 987-996 - [c347]Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu:
Graph Minimally-supervised Learning. WSDM 2022: 1620-1622 - [c346]Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu:
Domain Adaptive Fake News Detection via Reinforcement Learning. WWW 2022: 3632-3640 - [c345]Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani:
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. WWW 2022: 3685-3694 - [e9]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA. Proceedings of Machine Learning Research 185, PMLR 2022 [contents] - [e8]K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang:
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022. ACM 2022, ISBN 978-1-4503-9132-0 [contents] - [i108]Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu:
Evaluation Methods and Measures for Causal Learning Algorithms. CoRR abs/2202.02896 (2022) - [i107]Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani:
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. CoRR abs/2202.04752 (2022) - [i106]Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu:
Domain Adaptive Fake News Detection via Reinforcement Learning. CoRR abs/2202.08159 (2022) - [i105]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. CoRR abs/2202.08235 (2022) - [i104]Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu:
Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning. CoRR abs/2202.08480 (2022) - [i103]Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning: A Survey. CoRR abs/2202.10679 (2022) - [i102]Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu:
Deep Graph Learning for Anomalous Citation Detection. CoRR abs/2202.11360 (2022) - [i101]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs: A Survey. CoRR abs/2203.09308 (2022) - [i100]Amrita Bhattacharjee, Mansooreh Karami, Huan Liu:
Text Transformations in Contrastive Self-Supervised Learning: A Review. CoRR abs/2203.12000 (2022) - [i99]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning. CoRR abs/2203.15936 (2022) - [i98]Fangyu Hong, Guohua Wu, Qizhang Luo, Huan Liu, Xiaoping Fang, Witold Pedrycz:
Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System. CoRR abs/2204.01335 (2022) - [i97]Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, K. Selçuk Candan:
Causal Disentanglement with Network Information for Debiased Recommendations. CoRR abs/2204.07221 (2022) - [i96]Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, Huan Liu:
Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo. CoRR abs/2205.03068 (2022) - [i95]Lu Cheng, Suyu Ge, Huan Liu:
Toward Understanding Bias Correlations for Mitigation in NLP. CoRR abs/2205.12391 (2022) - [i94]Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu:
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research. CoRR abs/2207.01505 (2022) - [i93]Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Estimating Topic Exposure for Under-Represented Users on Social Media. CoRR abs/2208.03796 (2022) - [i92]Anique Tahir, Lu Cheng, Paras Sheth, Huan Liu:
Improving Vaccine Stance Detection by Combining Online and Offline Data. CoRR abs/2208.04491 (2022) - [i91]Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci:
Trustworthy Recommender Systems. CoRR abs/2208.06265 (2022) - [i90]Kaize Ding, Elnaz Nouri, Guoqing Zheng, Huan Liu, Ryen White:
Learning with Few Labeled Nodes via Augmented Graph Self-Training. CoRR abs/2208.12422 (2022) - [i89]Lu Cheng, Nayoung Kim, Huan Liu:
Debiasing Word Embeddings with Nonlinear Geometry. CoRR abs/2208.13899 (2022) - [i88]Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
Domain Generalization - A Causal Perspective. CoRR abs/2209.15177 (2022) - [i87]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. CoRR abs/2211.04208 (2022) - [i86]Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu:
Distributional Shift Adaptation using Domain-Specific Features. CoRR abs/2211.04670 (2022) - [i85]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. CoRR abs/2212.05606 (2022) - [i84]Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. CoRR abs/2212.12621 (2022) - 2021
- [j132]Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu:
A Survey of Learning Causality with Data: Problems and Methods. ACM Comput. Surv. 53(4): 75:1-75:37 (2021) - [j131]Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu:
Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intell. Syst. 36(3): 3-4 (2021) - [j130]Kai Shu, Susan T. Dumais, Ahmed Hassan Awadallah, Huan Liu:
Detecting Fake News With Weak Social Supervision. IEEE Intell. Syst. 36(4): 96-103 (2021) - [j129]Lu Cheng, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Session-Based Cyberbullying Detection: Problems and Challenges. IEEE Internet Comput. 25(2): 66-72 (2021) - [j128]Lu Cheng, Kush R. Varshney, Huan Liu:
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. J. Artif. Intell. Res. 71: 1137-1181 (2021) - [j127]Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong:
Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. 63(1): 105-124 (2021) - [j126]Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu:
Causal inference for time series analysis: problems, methods and evaluation. Knowl. Inf. Syst. 63(12): 3041-3085 (2021) - [j125]Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu:
Adversarial Attacks and Defenses: An Interpretation Perspective. SIGKDD Explor. 23(1): 86-99 (2021) - [j124]Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu:
Graph Learning: A Survey. IEEE Trans. Artif. Intell. 2(2): 109-127 (2021) - [j123]Liangtian Wan, Yuyuan Yuan, Feng Xia, Huan Liu:
To Your Surprise: Identifying Serendipitous Collaborators. IEEE Trans. Big Data 7(3): 574-589 (2021) - [j122]Jun Jason Zhang, Fei-Yue Wang, Yong Yuan, Guandong Xu, Huan Liu, Wei Gao, Shoaib Jameel, Imran Razzak, Peter W. Eklund, Sheraz Ahmed, Rui Qin, Juanjuan Li, Xiao Wang, De-Nian Yang, Damla Turgut, Abderrahim Benslimane, Neeli Prasad, Kwang-Cheng Chen:
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. IEEE Trans. Comput. Soc. Syst. 8(4): 928-929 (2021) - [j121]Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks. Trans. Data Sci. 2(2): 8:1-8:23 (2021) - [j120]Feng Xia, C. Lee Giles, Huan Liu, Kuansan Wang:
Guest Editorial: Scholarly Big Data. IEEE Trans. Emerg. Top. Comput. 9(1): 200-203 (2021) - [j119]Huan Liu, Xiamiao Li, Guohua Wu, Mingfeng Fan, Rui Wang, Liang Gao, Witold Pedrycz:
An Iterative Two-Phase Optimization Method Based on Divide and Conquer Framework for Integrated Scheduling of Multiple UAVs. IEEE Trans. Intell. Transp. Syst. 22(9): 5926-5938 (2021) - [j118]Haiyang Yu, Qi Hu, Zhen Yang, Huan Liu:
Efficient Continuous Big Data Integrity Checking for Decentralized Storage. IEEE Trans. Netw. Sci. Eng. 8(2): 1658-1673 (2021) - [c344]Kai Shu, Yichuan Li, Kaize Ding, Huan Liu:
Fact-Enhanced Synthetic News Generation. AAAI 2021: 13825-13833 - [c343]Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach. ACL/IJCNLP (1) 2021: 2158-2168 - [c342]Ahmadreza Mosallanezhad, Kai Shu, Huan Liu:
Generating Topic-Preserving Synthetic News. IEEE BigData 2021: 490-499 - [c341]Kaize Ding, Xuan Shan, Huan Liu:
Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning. CIKM 2021: 2979-2983 - [c340]Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Selçuk Candan:
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods. CIKM 2021: 4789-4793 - [c339]Fuqing Zhao, Xiaotong Hu, Jinlong Zhao, Huan Liu:
Elitist Guided Parameter Adaptive Brain Storm Optimization Algorithm. CSCWD 2021: 679-683 - [c338]Fuqing Zhao, Haizhu Bao, Huan Liu:
An Orthogonal Learning Design Whale Optimization Algorithm with Clustering Mechanism. CSCWD 2021: 727-732 - [c337]Fuqing Zhao, Ruiqing Ding, Jianxin Tang, Huan Liu:
A Novel Fruit Fly Optimization Algorithm with Vision Scanning Search and Extensive Learning Mechanism. CSCWD 2021: 733-738 - [c336]Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu:
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. EMNLP (1) 2021: 5930-5940 - [c335]Mansooreh Karami, Tahora H. Nazer, Huan Liu:
Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors. HT 2021: 225-230 - [c334]Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Causal Learning for Socially Responsible AI. IJCAI 2021: 4374-4381 - [c333]Xueying Zhan, Huan Liu, Qing Li, Antoni B. Chan:
A Comparative Survey: Benchmarking for Pool-based Active Learning. IJCAI 2021: 4679-4686 - [c332]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2021: 1-2 - [c331]Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Causal Understanding of Fake News Dissemination on Social Media. KDD 2021: 148-157 - [c330]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
The KDD 2021 Workshop on Causal Discovery (CD2021). KDD 2021: 4141-4142 - [c329]Peng Qi, Juan Cao, Xirong Li, Huan Liu, Qiang Sheng, Xiaoyue Mi, Qin He, Yongbiao Lv, Chenyang Guo, Yingchao Yu:
Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues. ACM Multimedia 2021: 1212-1220 - [c328]Walaa Alnasser, Ghazaleh Beigi, Huan Liu:
Privacy Preserving Text Representation Learning Using BERT. SBP-BRiMS 2021: 91-100 - [c327]Lu Cheng, Ruocheng Guo, Huan Liu:
Long-Term Effect Estimation with Surrogate Representation. WSDM 2021: 274-282 - [c326]Suyu Ge, Lu Cheng, Huan Liu:
Improving Cyberbullying Detection with User Interaction. WWW 2021: 496-506 - [c325]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. WWW 2021: 2448-2456 - [e7]Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, Md. Shad Akhtar:
Combating Online Hostile Posts in Regional Languages during Emergency Situation - First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers. Communications in Computer and Information Science 1402, Springer 2021, ISBN 978-3-030-73695-8 [contents] - [e6]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021. Proceedings of Machine Learning Research 150, PMLR 2021 [contents] - [i83]Lu Cheng, Kush R. Varshney, Huan Liu:
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. CoRR abs/2101.02032 (2021) - [i82]Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu:
"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis. CoRR abs/2101.03029 (2021) - [i81]Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu:
Causal Inference for Time series Analysis: Problems, Methods and Evaluation. CoRR abs/2102.05829 (2021) - [i80]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. CoRR abs/2102.11165 (2021) - [i79]Lu Cheng, Ruocheng Guo, Huan Liu:
Causal Mediation Analysis with Hidden Confounders. CoRR abs/2102.11724 (2021) - [i78]Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Causal Learning for Socially Responsible AI. CoRR abs/2104.12278 (2021) - [i77]Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu:
Graph Learning: A Survey. CoRR abs/2105.00696 (2021) - [i76]Ujun Jeong, Kaize Ding, Huan Liu:
FBAdTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements. CoRR abs/2106.00142 (2021) - [i75]Bohan Jiang, Mansooreh Karami, Lu Cheng, Tyler Black, Huan Liu:
Mechanisms and Attributes of Echo Chambers in Social Media. CoRR abs/2106.05401 (2021) - [i74]Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu:
Weakly-supervised Graph Meta-learning for Few-shot Node Classification. CoRR abs/2106.06873 (2021) - [i73]Peng Qi, Juan Cao, Xirong Li, Huan Liu, Qiang Sheng, Xiaoyue Mi, Qin He, Yongbiao Lv, Chenyang Guo, Yingchao Yu:
Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues. CoRR abs/2108.10509 (2021) - [i72]Mansooreh Karami, Tahora H. Nazer, Huan Liu:
Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors. CoRR abs/2108.10942 (2021) - [i71]Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu:
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. CoRR abs/2109.12457 (2021) - [i70]Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu:
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. CoRR abs/2110.01746 (2021) - [i69]Faisal Alatawi, Lu Cheng, Anique Tahir, Mansooreh Karami, Bohan Jiang, Tyler Black, Huan Liu:
A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation. CoRR abs/2112.05084 (2021) - [i68]Kaize Ding, Jianling Wang, James Caverlee, Huan Liu:
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. CoRR abs/2112.09810 (2021) - [i67]Lu Cheng, Ruocheng Guo, Huan Liu:
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. CoRR abs/2112.10274 (2021) - [i66]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Graph Few-shot Class-incremental Learning. CoRR abs/2112.12819 (2021) - 2020
- [j117]Qun Zhao, Yuelong Zhu, Kai Shu, Dingsheng Wan, Yufeng Yu, Xudong Zhou, Huan Liu:
Joint Spatial and Temporal Modeling for Hydrological Prediction. IEEE Access 8: 78492-78503 (2020) - [j116]Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu:
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media. Big Data 8(3): 171-188 (2020) - [j115]Naoki Abe, Huan Liu, Kuansan Wang:
Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery. Frontiers Big Data 3: 637906 (2020) - [j114]Hai Huang, Huan Liu:
Feature selection for hierarchical classification via joint semantic and structural information of labels. Knowl. Based Syst. 195: 105655 (2020) - [j113]Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu:
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. SIGKDD Explor. 22(1): 18-33 (2020) - [j112]Yuxiang Zhang, Huan Liu, Suge Wang, W. H. Ip, Wei Fan, Chunjing Xiao:
Automatic keyphrase extraction using word embeddings. Soft Comput. 24(8): 5593-5608 (2020) - [j111]Ghazaleh Beigi, Huan Liu:
A Survey on Privacy in Social Media: Identification, Mitigation, and Applications. Trans. Data Sci. 1(1): 7:1-7:38 (2020) - [j110]Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Social Science-guided Feature Engineering: A Novel Approach to Signed Link Analysis. ACM Trans. Intell. Syst. Technol. 11(1): 11:1-11:27 (2020) - [j109]Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu:
Combating disinformation in a social media age. WIREs Data Mining Knowl. Discov. 10(6) (2020) - [c324]Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu:
Tracking Disaster Footprints with Social Streaming Data. AAAI 2020: 370-377 - [c323]Yuxiang Zhang, Huan Liu, Bei Shi, Xiaoli Li, Suge Wang:
WEKE: Learning Word Embeddings for Keyphrase Extraction. APWeb/WAIM (2) 2020: 245-260 - [c322]Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu:
Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation. IEEE BigData 2020: 4325-4330 - [c321]Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. CIKM 2020: 185-194 - [c320]Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam:
The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media. CIKM 2020: 3527-3528 - [c319]Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu:
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. CIKM (Workshops) 2020 - [c318]Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM 2020: 295-304 - [c317]Lo Pang-Yun Ting, Shan-Yun Teng, Suhang Wang, Kun-Ta Chuang, Huan Liu:
Learning Latent Perception Graphs for Personalized Unknowns Recommendation. CogMI 2020: 32-41 - [c316]Adrienne Raglin, Raha Moraffah, Huan Liu:
Causality and Uncertainty of Information for Content Understanding. CogMI 2020: 109-113 - [c315]Lin Tian, Xiuzhen Zhang, Yan Wang, Huan Liu:
Early Detection of Rumours on Twitter via Stance Transfer Learning. ECIR (1) 2020: 575-588 - [c314]Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. EMNLP (1) 2020: 4927-4936 - [c313]Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu:
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. ICWSM 2020: 626-637 - [c312]Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu:
Inductive Anomaly Detection on Attributed Networks. IJCAI 2020: 1288-1294 - [c311]Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. IJCAI 2020: 4534-4540 - [c310]Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu:
Debiasing Grid-based Product Search in E-commerce. KDD 2020: 2852-2860 - [c309]Qianru Wang, Bin Guo, Yi Ouyang, Kai Shu, Zhiwen Yu, Huan Liu:
Spatial Community-Informed Evolving Graphs for Demand Prediction. ECML/PKDD (5) 2020: 440-456 - [c308]Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu:
Early Detection of Fake News with Multi-source Weak Social Supervision. ECML/PKDD (3) 2020: 650-666 - [c307]Ruocheng Guo, Jundong Li, Huan Liu:
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. SDM 2020: 271-279 - [c306]Lu Cheng, Ruocheng Guo, K. Selçuk Candan, Huan Liu:
Representation Learning for Imbalanced Cross-Domain Classification. SDM 2020: 478-486 - [c305]Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee:
Next-item Recommendation with Sequential Hypergraphs. SIGIR 2020: 1101-1110 - [c304]Kai Shu, Liangda Li, Suhang Wang, Yunhong Zhou, Huan Liu:
Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection. WebSci 2020: 335-344 - [c303]Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu:
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. WSDM 2020: 34-42 - [c302]Ruocheng Guo, Jundong Li, Huan Liu:
Learning Individual Causal Effects from Networked Observational Data. WSDM 2020: 232-240 - [i65]Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu:
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements. CoRR abs/2001.00623 (2020) - [i64]Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis. CoRR abs/2001.01015 (2020) - [i63]Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu:
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. CoRR abs/2003.03934 (2020) - [i62]Kai Shu, Guoqing Zheng, Yichuan Li, Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott W. Ruston, Huan Liu:
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News. CoRR abs/2004.01732 (2020) - [i61]Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu:
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. CoRR abs/2005.13691 (2020) - [i60]Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy. CoRR abs/2006.04103 (2020) - [i59]Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CoRR abs/2006.12739 (2020) - [i58]Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu:
Combating Disinformation in a Social Media Age. CoRR abs/2007.07388 (2020) - [i57]Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. CoRR abs/2008.02642 (2020) - [i56]Lu Cheng, Ruocheng Guo, Huan Liu:
Long-Term Effect Estimation with Surrogate Representation. CoRR abs/2008.08236 (2020) - [i55]Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu:
CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions. CoRR abs/2008.11376 (2020) - [i54]Ahmadreza Mosallanezhad, Yasin N. Silva, Michelle V. Mancenido, Huan Liu:
Toward Privacy and Utility Preserving Image Representation. CoRR abs/2009.14376 (2020) - [i53]Amrita Bhattacharjee, Kai Shu, Min Gao, Huan Liu:
Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges. CoRR abs/2010.09113 (2020) - [i52]Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Towards Causal Understanding of Fake News Dissemination. CoRR abs/2010.10580 (2020) - [i51]Ahmadreza Mosallanezhad, Kai Shu, Huan Liu:
Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach. CoRR abs/2010.16324 (2020) - [i50]Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. CoRR abs/2011.00387 (2020) - [i49]Suyu Ge, Lu Cheng, Huan Liu:
Improving Cyberbully Detection with User Interaction. CoRR abs/2011.00449 (2020) - [i48]Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu:
MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation. CoRR abs/2011.04088 (2020) - [i47]Kai Shu, Yichuan Li, Kaize Ding, Huan Liu:
Fact-Enhanced Synthetic News Generation. CoRR abs/2012.04778 (2020)
2010 – 2019
- 2019
- [b9]Kai Shu, Huan Liu:
Detecting Fake News on Social Media. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00787-3 - [j108]Liang Wu, Fred Morstatter, Kathleen M. Carley, Huan Liu:
Misinformation in Social Media: Definition, Manipulation, and Detection. SIGKDD Explor. 21(2): 80-90 (2019) - [j107]Ghazaleh Beigi, Huan Liu:
"Identifying novel privacy issues of online users on social media platforms" by Ghazaleh Beigi and Huan Liu with Martin Vesely as coordinator. SIGWEB Newsl. 2019(Winter): 4:1-4:7 (2019) - [j106]Shuo Yu, Feng Xia, Huan Liu:
Academic Team Formulation Based on Liebig's Barrel: Discovery of Anticask Effect. IEEE Trans. Comput. Soc. Syst. 6(5): 1083-1094 (2019) - [j105]Zhen Yang, Haiyang Yu, Jiliang Tang, Huan Liu:
Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network. IEEE Trans. Veh. Technol. 68(5): 4285-4294 (2019) - [j104]Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang:
Towards privacy preserving social recommendation under personalized privacy settings. World Wide Web 22(6): 2853-2881 (2019) - [c301]Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu:
Unsupervised Fake News Detection on Social Media: A Generative Approach. AAAI 2019: 5644-5651 - [c300]Thai Le, Kai Shu, Maria D. Molina, Dongwon Lee, S. Shyam Sundar, Huan Liu:
5 sources of clickbaits you should know!: using synthetic clickbaits to improve prediction and distinguish between bot-generated and human-written headlines. ASONAM 2019: 33-40 - [c299]Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu:
Multi-level network embedding with boosted low-rank matrix approximation. ASONAM 2019: 49-56 - [c298]Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu:
The role of user profiles for fake news detection. ASONAM 2019: 436-439 - [c297]Yichuan Li, Ruocheng Guo, Weiying Wang, Huan Liu:
Causal Learning in Question Quality Improvement. Bench 2019: 204-214 - [c296]Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
A Practical Data Repository for Causal Learning with Big Data. Bench 2019: 234-248 - [c295]Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, Huan Liu:
#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter. CIKM 2019: 941-950 - [c294]Suhang Wang, Charu C. Aggarwal, Huan Liu:
Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. CIKM 2019: 1041-1050 - [c293]Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu:
dEFEND: A System for Explainable Fake News Detection. CIKM 2019: 2961-2964 - [c292]Feng Xia, Huan Liu, Irwin King, Kuansan Wang:
BigScholar 2019: The 6th Workshop on Big Scholarly Data. CIKM 2019: 3003-3004 - [c291]Adrienne Jeanisha Raglin, Dijiang Huang, Huan Liu, James McCabe:
Smart CCR IoT: Internet of Things Testbed. CIC 2019: 232-235 - [c290]Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu:
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference. EMNLP/IJCNLP (1) 2019: 2360-2369 - [c289]Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu:
Privacy Preserving Text Representation Learning. HT 2019: 275-276 - [c288]Yufeng Yu, Yuelong Zhu, Dingsheng Wan, Huan Liu, Qun Zhao:
A Novel Symbolic Aggregate Approximation for Time Series. IMCOM 2019: 805-822 - [c287]Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu:
PI-Bully: Personalized Cyberbullying Detection with Peer Influence. IJCAI 2019: 5829-5835 - [c286]Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu:
InterSpot: Interactive Spammer Detection in Social Media. IJCAI 2019: 6509-6511 - [c285]Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu:
Adaptive Unsupervised Feature Selection on Attributed Networks. KDD 2019: 92-100 - [c284]Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu:
dEFEND: Explainable Fake News Detection. KDD 2019: 395-405 - [c283]Reza Zafarani, Xinyi Zhou, Kai Shu, Huan Liu:
Fake News Research: Theories, Detection Strategies, and Open Problems. KDD 2019: 3207-3208 - [c282]Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu:
Learning From Networks: Algorithms, Theory, and Applications. KDD 2019: 3221-3222 - [c281]Wei Fan, Huan Liu, Suge Wang, Yuxiang Zhang, Yaocheng Chang:
Extracting Keyphrases from Research Papers Using Word Embeddings. PAKDD (3) 2019: 54-67 - [c280]Tahora H. Nazer, Matthew Davis, Mansooreh Karami, Leman Akoglu, David Koelle, Huan Liu:
Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration? SBP-BRiMS 2019: 39-49 - [c279]Jayashree Subramanian, Varun Sridharan, Kai Shu, Huan Liu:
Exploiting Emojis for Sarcasm Detection. SBP-BRiMS 2019: 70-80 - [c278]Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network. SDM 2019: 235-243 - [c277]Kaize Ding, Jundong Li, Rohit Bhanushali, Huan Liu:
Deep Anomaly Detection on Attributed Networks. SDM 2019: 594-602 - [c276]Adrienne Raglin, Anshuman Venkateswaran, Huan Liu:
Abductive Causal Reasoning for Internet of Things. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1866-1869 - [c275]Liang Wu, Huan Liu:
Debunking Rumors in Social Networks: A Timely Approach. WebSci 2019: 323-331 - [c274]Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu:
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles. WSDM 2019: 213-221 - [c273]Kai Shu, Suhang Wang, Huan Liu:
Beyond News Contents: The Role of Social Context for Fake News Detection. WSDM 2019: 312-320 - [c272]Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu:
XBully: Cyberbullying Detection within a Multi-Modal Context. WSDM 2019: 339-347 - [c271]Kaize Ding, Jundong Li, Huan Liu:
Interactive Anomaly Detection on Attributed Networks. WSDM 2019: 357-365 - [c270]Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu:
Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. WSDM 2019: 438-446 - [c269]Xinyi Zhou, Reza Zafarani, Kai Shu, Huan Liu:
Fake News: Fundamental Theories, Detection Strategies and Challenges. WSDM 2019: 836-837 - [c268]Lu Cheng, Ruocheng Guo, Huan Liu:
Robust Cyberbullying Detection with Causal Interpretation. WWW (Companion Volume) 2019: 169-175 - [c267]Ghazaleh Beigi, Suhas Ranganath, Huan Liu:
Signed Link Prediction with Sparse Data: The Role of Personality Information. WWW (Companion Volume) 2019: 1270-1278 - [r15]Vineeth Rakesh, Lei Tang, Huan Liu:
Feature Learning from Social Graphs. Encyclopedia of Big Data Technologies 2019 - [i46]Ghazaleh Beigi, Suhas Ranganath, Huan Liu:
Signed Link Prediction with Sparse Data: The Role of Personality Information. CoRR abs/1903.02125 (2019) - [i45]Wen Zhang, Kai Shu, Huan Liu, Yalin Wang:
Graph Neural Networks for User Identity Linkage. CoRR abs/1903.02174 (2019) - [i44]Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu:
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. CoRR abs/1903.09196 (2019) - [i43]Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu:
The Role of User Profile for Fake News Detection. CoRR abs/1904.13355 (2019) - [i42]Yufeng Yu, Yuelong Zhu, Dingsheng Wan, Qun Zhao, Huan Liu:
A Novel Trend Symbolic Aggregate Approximation for Time Series. CoRR abs/1905.00421 (2019) - [i41]Yufeng Yu, Yuelong Zhu, Dingsheng Wan, Qun Zhao, Kai Shu, Huan Liu:
Applications of Social Media in Hydroinformatics: A Survey. CoRR abs/1905.03035 (2019) - [i40]Ruocheng Guo, Jundong Li, Huan Liu:
Learning Individual Treatment Effects from Networked Observational Data. CoRR abs/1906.03485 (2019) - [i39]Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang, Huan Liu:
I Am Not What I Write: Privacy Preserving Text Representation Learning. CoRR abs/1907.03189 (2019) - [i38]Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu:
Graph Neural Networks with High-order Feature Interactions. CoRR abs/1908.07110 (2019) - [i37]Kai Shu, Ahmed Hassan Awadallah, Susan T. Dumais, Huan Liu:
Detecting Fake News with Weak Social Supervision. CoRR abs/1910.11430 (2019) - [i36]Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu:
Deep causal representation learning for unsupervised domain adaptation. CoRR abs/1910.12417 (2019) - [i35]Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu:
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. CoRR abs/1911.09872 (2019) - [i34]Ruocheng Guo, Jundong Li, Huan Liu:
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data. CoRR abs/1912.10536 (2019) - 2018
- [j103]Zhen Yang, Jiliang Tang, Huan Liu:
Cloud Information Retrieval: Model Description and Scheme Design. IEEE Access 6: 15420-15430 (2018) - [j102]Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu:
Feature Selection: A Data Perspective. ACM Comput. Surv. 50(6): 94:1-94:45 (2018) - [j101]Ling Jian, Jundong Li, Huan Liu:
Toward online node classification on streaming networks. Data Min. Knowl. Discov. 32(1): 231-257 (2018) - [j100]Fuqing Zhao, Huan Liu, Yi Zhang, Weimin Ma, Chuck Zhang:
A discrete Water Wave Optimization algorithm for no-wait flow shop scheduling problem. Expert Syst. Appl. 91: 347-363 (2018) - [j99]Liang Wu, Fred Morstatter, Huan Liu:
SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification. Lang. Resour. Evaluation 52(3): 839-852 (2018) - [j98]Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu:
Understanding and Identifying Rhetorical Questions in Social Media. ACM Trans. Intell. Syst. Technol. 9(2): 17:1-17:22 (2018) - [j97]Ling Jian, Jundong Li, Huan Liu:
Exploiting Multilabel Information for Noise-Resilient Feature Selection. ACM Trans. Intell. Syst. Technol. 9(5): 52:1-52:23 (2018) - [j96]Suhang Wang, Charu C. Aggarwal, Huan Liu:
Random-Forest-Inspired Neural Networks. ACM Trans. Intell. Syst. Technol. 9(6): 69:1-69:25 (2018) - [j95]Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu:
Exploring Hierarchical Structures for Recommender Systems. IEEE Trans. Knowl. Data Eng. 30(6): 1022-1035 (2018) - [j94]Fred Morstatter, Liang Wu, Uraz Yavanoglu, Steven R. Corman, Huan Liu:
Identifying Framing Bias in Online News. ACM Trans. Soc. Comput. 1(2): 5:1-5:18 (2018) - [c266]Jundong Li, Liang Wu, Harsh Dani, Huan Liu:
Unsupervised Personalized Feature Selection. AAAI 2018: 3514-3521 - [c265]Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang:
Exploiting Emotion on Reviews for Recommender Systems. AAAI 2018: 3788-3795 - [c264]Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang:
Personalized Privacy-Preserving Social Recommendation. AAAI 2018: 3796-3803 - [c263]Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu:
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. AAAI 2018: 3892-3899 - [c262]Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo:
Exploiting User Actions for App Recommendations. ASONAM 2018: 139-142 - [c261]Nur Shazwani Kamarudin, Vineeth Rakesh, Ghazaleh Beigi, Lydia Manikonda, Huan Liu:
A Study of Reddit-User's Response to Rape. ASONAM 2018: 591-592 - [c260]Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu:
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. CIKM 2018: 357-366 - [c259]Yiqi Chen, Tieyun Qian, Huan Liu, Ke Sun:
"Bridge": Enhanced Signed Directed Network Embedding. CIKM 2018: 773-782 - [c258]Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu:
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CIKM 2018: 1679-1682 - [c257]Liangyue Li, Hanghang Tong, Huan Liu:
Towards Explainable Networked Prediction. CIKM 2018: 1819-1822 - [c256]Ghazaleh Beigi, Kai Shu, Yanchao Zhang, Huan Liu:
Securing Social Media User Data: An Adversarial Approach. HT 2018: 165-173 - [c255]Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu:
Deep Headline Generation for Clickbait Detection. ICDM 2018: 467-476 - [c254]Shan-Yun Teng, Jundong Li, Lo Pang-Yun Ting, Kun-Ta Chuang, Huan Liu:
Interactive Unknowns Recommendation in E-Learning Systems. ICDM 2018: 497-506 - [c253]Ruocheng Guo, Jundong Li, Huan Liu:
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process. IJCAI 2018: 2191-2197 - [c252]Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng:
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. IJCAI 2018: 3513-3519 - [c251]Guansong Pang, Longbing Cao, Ling Chen, Huan Liu:
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. KDD 2018: 2041-2050 - [c250]Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang:
Multimodal Fusion of Brain Networks with Longitudinal Couplings. MICCAI (3) 2018: 3-11 - [c249]Kai Shu, Suhang Wang, Huan Liu:
Understanding User Profiles on Social Media for Fake News Detection. MIPR 2018: 430-435 - [c248]Lydia Manikonda, Ghazaleh Beigi, Subbarao Kambhampati, Huan Liu:
#metoo Through the Lens of Social Media. SBP-BRiMS 2018: 104-110 - [c247]Ghazaleh Beigi, Huan Liu:
Similar but Different: Exploiting Users' Congruity for Recommendation Systems. SBP-BRiMS 2018: 129-140 - [c246]Kai Shu, Amy Sliva, Justin Sampson, Huan Liu:
Understanding Cyber Attack Behaviors with Sentiment Information on Social Media. SBP-BRiMS 2018: 377-388 - [c245]Kathleen M. Carley, Guido Cervone, Nitin Agarwal, Huan Liu:
Social Cyber-Security. SBP-BRiMS 2018: 389-394 - [c244]Jundong Li, Chen Chen, Hanghang Tong, Huan Liu:
Multi-Layered Network Embedding. SDM 2018: 684-692 - [c243]Liang Wu, Jundong Li, Fred Morstatter, Huan Liu:
Toward Relational Learning with Misinformation. SDM 2018: 711-719 - [c242]Liang Wu, Diane Hu, Liangjie Hong, Huan Liu:
Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce. SIGIR 2018: 365-374 - [c241]Jundong Li, Kewei Cheng, Liang Wu, Huan Liu:
Streaming Link Prediction on Dynamic Attributed Networks. WSDM 2018: 369-377 - [c240]Suhas Ranganath, Ghazaleh Beigi, Huan Liu:
Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests. WSDM 2018: 477-485 - [c239]Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu:
CrossFire: Cross Media Joint Friend and Item Recommendations. WSDM 2018: 522-530 - [c238]Liang Wu, Huan Liu:
Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate. WSDM 2018: 637-645 - [c237]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. WWW 2018: 1643-1652 - [e5]Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz:
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018. IEEE 2018, ISBN 978-1-5386-5035-6 [contents] - [r14]Nitin Agarwal, Huan Liu:
Trust in Blogosphere. Encyclopedia of Database Systems (2nd ed.) 2018 - [r13]Payam Refaeilzadeh, Lei Tang, Huan Liu:
Cross-Validation. Encyclopedia of Database Systems (2nd ed.) 2018 - [r12]Nitin Agarwal, Huan Liu:
Time- and Event-Driven Modeling of Blogger Influence. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r11]Zhuo Feng, Pritam Gundecha, Huan Liu:
Social Provenance. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r10]Liang Wu, Huan Liu:
Detecting Crowdturfing in Social Media. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i33]Ghazaleh Beigi, Huan Liu:
Similar but Different: Exploiting Users' Congruity for Recommendation Systems. CoRR abs/1803.04514 (2018) - [i32]Lydia Manikonda, Ghazaleh Beigi, Huan Liu, Subbarao Kambhampati:
Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Media. CoRR abs/1803.08022 (2018) - [i31]Kai Shu, H. Russell Bernard, Huan Liu:
Studying Fake News via Network Analysis: Detection and Mitigation. CoRR abs/1804.10233 (2018) - [i30]Ghazaleh Beigi, Kai Shu, Yanchao Zhang, Huan Liu:
Securing Social Media User Data - An Adversarial Approach. CoRR abs/1805.00519 (2018) - [i29]Guansong Pang, Longbing Cao, Ling Chen, Huan Liu:
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. CoRR abs/1806.04808 (2018) - [i28]Ghazaleh Beigi, Huan Liu:
Privacy in Social Media: Identification, Mitigation and Applications. CoRR abs/1808.02191 (2018) - [i27]Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu:
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CoRR abs/1808.03333 (2018) - [i26]Jundong Li, Liang Wu, Huan Liu:
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation. CoRR abs/1808.08627 (2018) - [i25]Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu:
FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media. CoRR abs/1809.01286 (2018) - [i24]Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu:
A Survey of Learning Causality with Data: Problems and Methods. CoRR abs/1809.09337 (2018) - [i23]Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu:
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles. CoRR abs/1811.09340 (2018) - [i22]Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu:
Online Newton Step Algorithm with Estimated Gradient. CoRR abs/1811.09955 (2018) - 2017
- [j93]Jundong Li, Huan Liu:
Challenges of Feature Selection for Big Data Analytics. IEEE Intell. Syst. 32(2): 9-15 (2017) - [j92]Fred Morstatter, Huan Liu:
In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics. J. Mach. Learn. Res. 18: 169:1-169:32 (2017) - [j91]Yun Li, Tao Li, Huan Liu:
Recent advances in feature selection and its applications. Knowl. Inf. Syst. 53(3): 551-577 (2017) - [j90]Fred Morstatter, Huan Liu:
Discovering, assessing, and mitigating data bias in social media. Online Soc. Networks Media 1: 1-13 (2017) - [j89]Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
Legislative prediction with dual uncertainty minimization from heterogeneous information. Stat. Anal. Data Min. 10(2): 107-120 (2017) - [j88]Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu:
Fake News Detection on Social Media: A Data Mining Perspective. SIGKDD Explor. 19(1): 22-36 (2017) - [j87]Tahora H. Nazer, Guoliang Xue, Yusheng Ji, Huan Liu:
Intelligent Disaster Response via Social Media Analysis A Survey. SIGKDD Explor. 19(1): 46-59 (2017) - [j86]Feng Xia, Wei Wang, Teshome Megersa Bekele, Huan Liu:
Big Scholarly Data: A Survey. IEEE Trans. Big Data 3(1): 18-35 (2017) - [j85]Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu:
Facilitating Time Critical Information Seeking in Social Media. IEEE Trans. Knowl. Data Eng. 29(10): 2197-2209 (2017) - [c236]Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li:
CLARE: A Joint Approach to Label Classification and Tag Recommendation. AAAI 2017: 210-216 - [c235]Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu:
Unsupervised Sentiment Analysis with Signed Social Networks. AAAI 2017: 3429-3435 - [c234]Suhang Wang, Charu C. Aggarwal, Jiliang Tang, Huan Liu:
Attributed Signed Network Embedding. CIKM 2017: 137-146 - [c233]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CIKM 2017: 387-396 - [c232]Liang Wu, Xia Hu, Fred Morstatter, Huan Liu:
Adaptive Spammer Detection with Sparse Group Modeling. ICWSM 2017: 319-326 - [c231]Liang Wu, Xia Hu, Huan Liu:
Early Identification of Personalized Trending Topics in Microblogging. ICWSM 2017: 692-695 - [c230]Liang Wu, Xia Hu, Fred Morstatter, Huan Liu:
Detecting Camouflaged Content Polluters. ICWSM 2017: 696-699 - [c229]Jundong Li, Harsh Dani, Xia Hu, Huan Liu:
Radar: Residual Analysis for Anomaly Detection in Attributed Networks. IJCAI 2017: 2152-2158 - [c228]Jundong Li, Jiliang Tang, Huan Liu:
Reconstruction-based Unsupervised Feature Selection: An Embedded Approach. IJCAI 2017: 2159-2165 - [c227]Guansong Pang, Longbing Cao, Ling Chen, Huan Liu:
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. IJCAI 2017: 2585-2591 - [c226]Suhang Wang, Charu C. Aggarwal, Huan Liu:
Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods. KDD 2017: 485-494 - [c225]Kewei Cheng, Jundong Li, Huan Liu:
Unsupervised Feature Selection in Signed Social Networks. KDD 2017: 777-786 - [c224]Shaowu Liu, Na Pang, Guandong Xu, Huan Liu:
Collaborative Filtering via Different Preference Structures. KSEM 2017: 309-321 - [c223]Harsh Dani, Jundong Li, Huan Liu:
Sentiment Informed Cyberbullying Detection in Social Media. ECML/PKDD (1) 2017: 52-67 - [c222]Suhang Wang, Charu C. Aggarwal, Huan Liu:
Using a Random Forest to Inspire a Neural Network and Improving on It. SDM 2017: 1-9 - [c221]Liang Wu, Jundong Li, Xia Hu, Huan Liu:
Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media. SDM 2017: 99-107 - [c220]Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu:
Signed Network Embedding in Social Media. SDM 2017: 327-335 - [c219]Jundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu:
Toward Personalized Relational Learning. SDM 2017: 444-452 - [c218]Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu:
Exploiting Hierarchical Structures for Unsupervised Feature Selection. SDM 2017: 507-515 - [c217]Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu:
What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. WWW 2017: 391-400 - [e4]Xueqi Cheng, Wei-Ying Ma, Huan Liu, Huawei Shen, Shizheng Feng, Xing Xie:
Social Media Processing - 6th National Conference, SMP 2017, Beijing, China, September 14-17, 2017, Proceedings. Communications in Computer and Information Science 774, Springer 2017, ISBN 978-981-10-6804-1 [contents] - [r9]Huiji Gao, Huan Liu:
Time-Aware Personalized Location Recommendation. Encyclopedia of GIS 2017: 2242-2252 - [r8]Suhang Wang, Jiliang Tang, Huan Liu:
Feature Selection. Encyclopedia of Machine Learning and Data Mining 2017: 503-511 - [i21]Hongjun Lu, Rudy Setiono, Huan Liu:
NeuroRule: A Connectionist Approach to Data Mining. CoRR abs/1701.01358 (2017) - [i20]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. CoRR abs/1703.01393 (2017) - [i19]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CoRR abs/1706.01860 (2017) - [i18]Isaac Jones, Huan Liu:
Heroes and Zeroes: Predicting the Impact of New Video Games on Twitch.tv. CoRR abs/1707.05831 (2017) - [i17]Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu:
Fake News Detection on Social Media: A Data Mining Perspective. CoRR abs/1708.01967 (2017) - [i16]Tahora H. Nazer, Guoliang Xue, Yusheng Ji, Huan Liu:
Intelligent Disaster Response via Social Media Analysis - A Survey. CoRR abs/1709.02426 (2017) - [i15]Fred Morstatter, Kai Shu, Suhang Wang, Huan Liu:
Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications. CoRR abs/1709.04969 (2017) - [i14]Kai Shu, Suhang Wang, Huan Liu:
Exploiting Tri-Relationship for Fake News Detection. CoRR abs/1712.07709 (2017) - 2016
- [j84]Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu:
A Survey of Signed Network Mining in Social Media. ACM Comput. Surv. 49(3): 42:1-42:37 (2016) - [j83]Xia Hu, Peter D. Reaven, Aramesh Saremi, Ninghao Liu, Mohammad Ali Abbasi, Huan Liu, Raymond Q. Migrino:
Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance. EURASIP J. Bioinform. Syst. Biol. 2016: 14 (2016) - [j82]Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang:
Online Behavioral Analysis and Modeling [Guest Editorial]. IEEE Intell. Syst. 31(1): 2-4 (2016) - [j81]Peng Cui, Huan Liu, Charu C. Aggarwal, Fei Wang:
Uncovering and Predicting Human Behaviors. IEEE Intell. Syst. 31(2): 77-88 (2016) - [j80]Huan Liu, Fred Morstatter, Jiliang Tang, Reza Zafarani:
The good, the bad, and the ugly: uncovering novel research opportunities in social media mining. Int. J. Data Sci. Anal. 1(3-4): 137-143 (2016) - [j79]Reza Zafarani, Huan Liu:
Users joining multiple sites: Friendship and popularity variations across sites. Inf. Fusion 28: 83-89 (2016) - [j78]Fred Morstatter, Huan Liu:
Replacing Mechanical Turkers? Challenges in the Evaluation of Models with Semantic Properties. ACM J. Data Inf. Qual. 7(4): 15:1-15:4 (2016) - [j77]Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, Huan Liu:
User Identity Linkage across Online Social Networks: A Review. SIGKDD Explor. 18(2): 5-17 (2016) - [j76]Wei Wei, Kenneth Joseph, Huan Liu, Kathleen M. Carley:
Exploring characteristics of suspended users and network stability on Twitter. Soc. Netw. Anal. Min. 6(1): 51:1-51:18 (2016) - [c216]Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu:
Predicting Online Protest Participation of Social Media Users. AAAI 2016: 208-214 - [c215]Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu:
Recommendation with Social Dimensions. AAAI 2016: 251-257 - [c214]Fred Morstatter, Huan Liu:
A Novel Measure for Coherence in Statistical Topic Models. ACL (2) 2016 - [c213]Fred Morstatter, Liang Wu, Tahora H. Nazer, Kathleen M. Carley, Huan Liu:
A new approach to bot detection: Striking the balance between precision and recall. ASONAM 2016: 533-540 - [c212]Tahora H. Nazer, Fred Morstatter, Harsh Dani, Huan Liu:
Finding requests in social media for disaster relief. ASONAM 2016: 1410-1413 - [c211]Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu:
Linked Document Embedding for Classification. CIKM 2016: 115-124 - [c210]Suhang Wang, Jiliang Tang, Fred Morstatter, Huan Liu:
Paired Restricted Boltzmann Machine for Linked Data. CIKM 2016: 1753-1762 - [c209]Justin Sampson, Fred Morstatter, Liang Wu, Huan Liu:
Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection. CIKM 2016: 2377-2382 - [c208]Kewei Cheng, Jundong Li, Huan Liu:
FeatureMiner: A Tool for Interactive Feature Selection. CIKM 2016: 2445-2448 - [c207]Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li:
PPP: Joint Pointwise and Pairwise Image Label Prediction. CVPR 2016: 6005-6013 - [c206]Guansong Pang, Longbing Cao, Ling Chen, Huan Liu:
Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. ICDM 2016: 410-419 - [c205]Jundong Li, Xia Hu, Ling Jian, Huan Liu:
Toward Time-Evolving Feature Selection on Dynamic Networks. ICDM 2016: 1003-1008 - [c204]Jinxue Zhang, Xia Hu, Yanchao Zhang, Huan Liu:
Your Age Is No Secret: Inferring Microbloggers' Ages via Content and Interaction Analysis. ICWSM 2016: 476-485 - [c203]Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Signed Link Analysis in Social Media Networks. ICWSM 2016: 539-542 - [c202]Pritam Gundecha, Jiliang Tang, Xia Hu, Huan Liu:
Exploring Personal Attributes from Unprotected Interactions. ICWSM 2016: 575-578 - [c201]Isaac Jones, Ran Wang, Jiawei Han, Huan Liu:
Community Cores: Removing Size Bias from Community Detection. ICWSM 2016: 603-606 - [c200]Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu:
Identifying Rhetorical Questions in Social Media. ICWSM 2016: 667-670 - [c199]Ling Jian, Jundong Li, Kai Shu, Huan Liu:
Multi-Label Informed Feature Selection. IJCAI 2016: 1627-1633 - [c198]Jiliang Tang, Charu C. Aggarwal, Huan Liu:
Node Classification in Signed Social Networks. SDM 2016: 54-62 - [c197]Ghazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu:
Exploiting Emotional Information for Trust/Distrust Prediction. SDM 2016: 81-89 - [c196]Jundong Li, Xia Hu, Liang Wu, Huan Liu:
Robust Unsupervised Feature Selection on Networked Data. SDM 2016: 387-395 - [c195]Suhas Ranganath, Xia Hu, Jiliang Tang, Huan Liu:
Understanding and Identifying Advocates for Political Campaigns on Social Media. WSDM 2016: 43-52 - [c194]Liang Wu, Xia Hu, Huan Liu:
Relational Learning with Social Status Analysis. WSDM 2016: 513-522 - [c193]Jiliang Tang, Charu C. Aggarwal, Huan Liu:
Recommendations in Signed Social Networks. WWW 2016: 31-40 - [c192]Fred Morstatter, Harsh Dani, Justin Sampson, Huan Liu:
Can One Tamper with the Sample API?: Toward Neutralizing Bias from Spam and Bot Content. WWW (Companion Volume) 2016: 81-82 - [p10]Ghazaleh Beigi, Xia Hu, Ross Maciejewski, Huan Liu:
An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief. Sentiment Analysis and Ontology Engineering 2016: 313-340 - [i13]Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu:
Feature Selection: A Data Perspective. CoRR abs/1601.07996 (2016) - [i12]Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Signed Link Analysis in Social Media Networks. CoRR abs/1603.06878 (2016) - [i11]Liang Wu, Fred Morstatter, Huan Liu:
SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification. CoRR abs/1608.05129 (2016) - [i10]Jundong Li, Huan Liu:
Challenges of Feature Selection for Big Data Analytics. CoRR abs/1611.01875 (2016) - 2015
- [b8]Huiji Gao, Huan Liu:
Mining Human Mobility in Location-Based Social Networks. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2015, ISBN 978-3-031-00780-4 - [b7]Jiliang Tang, Huan Liu:
Trust in Social Media. Synthesis Lectures on Information Security, Privacy, & Trust, Morgan & Claypool Publishers 2015, ISBN 978-3-031-01217-4, pp. 1-129 - [j75]Nitin Agarwal, Sean Andrist, Dan Bohus, Fei Fang, Laurie Fenstermacher, Lalana Kagal, Takashi Kido, Christopher Kiekintveld, William F. Lawless, Huan Liu, Andrew McCallum, Hemant Purohit, Oshani Seneviratne, Keiki Takadama, Gavin Taylor:
Reports on the 2015 AAAI Spring Symposium Series. AI Mag. 36(3): 113-119 (2015) - [j74]Reza Zafarani, Huan Liu:
Evaluation without ground truth in social media research. Commun. ACM 58(6): 54-60 (2015) - [j73]Huiji Gao, Jiliang Tang, Huan Liu:
Addressing the cold-start problem in location recommendation using geo-social correlations. Data Min. Knowl. Discov. 29(2): 299-323 (2015) - [j72]Fred Morstatter, Huiji Gao, Huan Liu:
Discovering Location Information in Social Media. IEEE Data Eng. Bull. 38(2): 4-13 (2015) - [j71]Xia Hu, Lei Tang, Huan Liu:
Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging. IEEE Trans. Big Data 1(1): 35-46 (2015) - [j70]Reza Zafarani, Lei Tang, Huan Liu:
User Identification Across Social Media. ACM Trans. Knowl. Discov. Data 10(2): 16:1-16:30 (2015) - [j69]Jiliang Tang, Huiji Gao, Atish Das Sarma, Yingzhou Bi, Huan Liu:
Trust Evolution: Modeling and Its Applications. IEEE Trans. Knowl. Data Eng. 27(6): 1724-1738 (2015) - [j68]Lie Qu, Yan Wang, Mehmet A. Orgun, Ling Liu, Huan Liu, Athman Bouguettaya:
CCCloud: Context-Aware and Credible Cloud Service Selection Based on Subjective Assessment and Objective Assessment. IEEE Trans. Serv. Comput. 8(3): 369-383 (2015) - [c191]Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu:
Leveraging Social Foci for Information Seeking in Social Media. AAAI 2015: 261-267 - [c190]Suhang Wang, Jiliang Tang, Huan Liu:
Embedded Unsupervised Feature Selection. AAAI 2015: 470-476 - [c189]Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu:
Content-Aware Point of Interest Recommendation on Location-Based Social Networks. AAAI 2015: 1721-1727 - [c188]Wei Wei, Kenneth Joseph, Huan Liu, Kathleen M. Carley:
The Fragility of Twitter Social Networks Against Suspended Users. ASONAM 2015: 9-16 - [c187]Shamanth Kumar, Huan Liu, Sameep Mehta, L. Venkata Subramaniam:
Exploring a Scalable Solution to Identifying Events in Noisy Twitter Streams. ASONAM 2015: 496-499 - [c186]Zhen Yang, Isaac Jones, Xia Hu, Huan Liu:
Finding the Right Social Media Site for Questions. ASONAM 2015: 639-644 - [c185]Robert P. Trevino, Steve A. Kawamoto, Thomas J. Lamkin, Huan Liu:
Cell analytics in compound hit selection of bacterial inhibitors. IEEE BigData 2015: 1037-1042 - [c184]Reza Zafarani, Huan Liu:
10 Bits of Surprise: Detecting Malicious Users with Minimum Information. CIKM 2015: 423-431 - [c183]Jundong Li, Xia Hu, Jiliang Tang, Huan Liu:
Unsupervised Streaming Feature Selection in Social Media. CIKM 2015: 1041-1050 - [c182]Suhang Wang, Jiliang Tang, Huan Liu:
Toward Dual Roles of Users in Recommender Systems. CIKM 2015: 1651-1660 - [c181]Fred Morstatter, Jürgen Pfeffer, Katja Mayer, Huan Liu:
Text, Topics, and Turkers: A Consensus Measure for Statistical Topics. HT 2015: 123-131 - [c180]Justin Sampson, Fred Morstatter, Ross Maciejewski, Huan Liu:
Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage. HT 2015: 237-245 - [c179]Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu:
Finding Time-Critical Responses for Information Seeking in Social Media. ICDM 2015: 961-966 - [c178]Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, Huan Liu:
Social Answer: A System for Finding Appropriate Sites for Questions in Social Media. ICDM Workshops 2015: 1632-1635 - [c177]Justin Sampson, Fred Morstatter, Reza Zafarani, Huan Liu:
Real-Time Crisis Mapping Using Language Distribution. ICDM Workshops 2015: 1648-1651 - [c176]Yunzhong Liu, Yi Chen, Jiliang Tang, Huan Liu:
Context-Aware Experience Extraction from Online Health Forums. ICHI 2015: 42-47 - [c175]Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu:
Exploring Implicit Hierarchical Structures for Recommender Systems. IJCAI 2015: 1813-1819 - [c174]Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li:
Unsupervised Sentiment Analysis for Social Media Images. IJCAI 2015: 2378-2379 - [c173]Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang:
Online diffusion source detection in social networks. IJCNN 2015: 1-8 - [c172]Salem Alelyani, Huan Liu:
A Local SVD Framework for Stable Feature Selection for Clustering. IRI 2015: 236-243 - [c171]Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information. SDM 2015: 361-369 - [c170]Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu:
Propagation-based Sentiment Analysis for Microblogging Data. SDM 2015: 577-585 - [c169]Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu:
Negative Link Prediction in Social Media. WSDM 2015: 87-96 - [c168]Ashwin Rajadesingan, Reza Zafarani, Huan Liu:
Sarcasm Detection on Twitter: A Behavioral Modeling Approach. WSDM 2015: 97-106 - [c167]Yafeng Lu, Xia Hu, Feng Wang, Shamanth Kumar, Huan Liu, Ross Maciejewski:
Visualizing Social Media Sentiment in Disaster Scenarios. WWW (Companion Volume) 2015: 1211-1215 - [c166]Dongwon Lee, Huan Liu:
LIKE and Recommendation in Social Media. WWW (Companion Volume) 2015: 1539-1540 - [e3]Cornelia Caragea, C. Lee Giles, Narayan L. Bhamidipati, Doina Caragea, Sujatha Das Gollapalli, Saurabh Kataria, Huan Liu, Feng Xia:
Scholarly Big Data: AI Perspectives, Challenges, and Ideas, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January, 2015. AAAI Technical Report WS-15-13, AAAI Press 2015 [contents] - [i9]Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu:
Leveraging Social Foci for Information Seeking in Social Media. CoRR abs/1502.06583 (2015) - [i8]Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu:
A Survey of Signed Network Mining in Social Media. CoRR abs/1511.07569 (2015) - [i7]Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Huan Liu:
Predicting Online Protest Participation of Social Media Users. CoRR abs/1512.02968 (2015) - 2014
- [b6]Reza Zafarani, Mohammad Ali Abbasi, Huan Liu:
Social Media Mining: An Introduction. Cambridge University Press 2014, ISBN 9781139088510 - [b5]Shamanth Kumar, Fred Morstatter, Huan Liu:
Twitter Data Analytics. Springer Briefs in Computer Science, Springer 2014, ISBN 978-1-4614-9372-3, pp. 1-69 - [j67]Shijin Li, Jianbin Qiu, Xinxin Yang, Huan Liu, Dingsheng Wan, Yuelong Zhu:
A novel approach to hyperspectral band selection based on spectral shape similarity analysis and fast branch and bound search. Eng. Appl. Artif. Intell. 27: 241-250 (2014) - [j66]Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian:
Behavior Informatics: A New Perspective. IEEE Intell. Syst. 29(4): 62-80 (2014) - [j65]Lei Wang, Luping Zhou, Chunhua Shen, Lingqiao Liu, Huan Liu:
A Hierarchical Word-Merging Algorithm with Class Separability Measure. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 417-435 (2014) - [j64]Huan Liu, Jiawei Han, Hiroshi Motoda:
Uncovering deception in social media. Soc. Netw. Anal. Min. 4(1): 162 (2014) - [j63]Kathleen M. Carley, Jürgen Pfeffer, Fred Morstatter, Huan Liu:
Embassies burning: toward a near-real-time assessment of social media using geo-temporal dynamic network analytics. Soc. Netw. Anal. Min. 4(1): 195 (2014) - [j62]Jiliang Tang, Huan Liu:
Feature Selection for Social Media Data. ACM Trans. Knowl. Discov. Data 8(4): 19:1-19:27 (2014) - [j61]Pritam Gundecha, Geoffrey Barbier, Jiliang Tang, Huan Liu:
User Vulnerability and Its Reduction on a Social Networking Site. ACM Trans. Knowl. Discov. Data 9(2): 12:1-12:25 (2014) - [j60]Jiliang Tang, Huan Liu:
An Unsupervised Feature Selection Framework for Social Media Data. IEEE Trans. Knowl. Data Eng. 26(12): 2914-2927 (2014) - [j59]Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, Huan Liu:
Global and Local Structure Preservation for Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 25(6): 1083-1095 (2014) - [c165]Xia Hu, Jiliang Tang, Huan Liu:
Online Social Spammer Detection. AAAI 2014: 59-65 - [c164]Fred Morstatter, Nichola Lubold, Heather Pon-Barry, Jürgen Pfeffer, Huan Liu:
Finding Eyewitness Tweets During Crises. LTCSS@ACL 2014: 23-27 - [c163]Jiliang Tang, Xia Hu, Yi Chang, Huan Liu:
Predictability of Distrust with Interaction Data. CIKM 2014: 181-190 - [c162]Xinxin Zhao, Huiji Gao, Lingjun Li, Huan Liu, Guoliang Xue:
An efficient privacy preserving location based service system. GLOBECOM 2014: 576-581 - [c161]Mohammad Ali Abbasi, Jiliang Tang, Huan Liu:
Scalable learning of users' preferences using networked data. HT 2014: 4-12 - [c160]Jiliang Tang, Xia Hu, Huan Liu:
Is distrust the negation of trust?: the value of distrust in social media. HT 2014: 148-157 - [c159]Mohammad Ali Abbasi, Reza Zafarani, Jiliang Tang, Huan Liu:
Am i more similar to my followers or followees?: analyzing homophily effect in directed social networks. HT 2014: 200-205 - [c158]Shamanth Kumar, Xia Hu, Huan Liu:
A behavior analytics approach to identifying tweets from crisis regions. HT 2014: 255-260 - [c157]Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu:
Social Spammer Detection with Sentiment Information. ICDM 2014: 180-189 - [c156]Yu Cheng, Ankit Agrawal, Alok N. Choudhary, Huan Liu, Tao Zhang:
Social Role Identification via Dual Uncertainty Minimization Regularization. ICDM 2014: 767-772 - [c155]Yu Cheng, Alok N. Choudhary, Jun Wang, Sharath Pankanti, Huan Liu:
Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data. ICDM Workshops 2014: 1163-1170 - [c154]Reza Zafarani, Huan Liu:
Users Joining Multiple Sites: Distributions and Patterns. ICWSM 2014 - [c153]Jiliang Tang, Jie Tang, Huan Liu:
Recommendation in social media: recent advances and new frontiers. KDD 2014: 1977 - [c152]Huiji Gao, Jiliang Tang, Huan Liu:
Personalized location recommendation on location-based social networks. RecSys 2014: 399-400 - [c151]Ashwin Rajadesingan, Huan Liu:
Identifying Users with Opposing Opinions in Twitter Debates. SBP 2014: 153-160 - [c150]Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu:
Discriminant Analysis for Unsupervised Feature Selection. SDM 2014: 938-946 - [c149]Reza Zafarani, Huan Liu:
Finding Friends on a New Site Using Minimum Information. SDM 2014: 947-955 - [c148]Xia Hu, Jiliang Tang, Huan Liu:
Leveraging knowledge across media for spammer detection in microblogging. SIGIR 2014: 547-556 - [c147]Jiliang Tang, Huan Liu:
Trust in social computing. WWW (Companion Volume) 2014: 207-208 - [c146]Fred Morstatter, Jürgen Pfeffer, Huan Liu:
When is it biased?: assessing the representativeness of twitter's streaming API. WWW (Companion Volume) 2014: 555-556 - [p9]Jiliang Tang, Salem Alelyani, Huan Liu:
Feature Selection for Classification: A Review. Data Classification: Algorithms and Applications 2014: 37-64 - [r7]Zhuo Feng, Pritam Gundecha, Huan Liu:
Social Provenance. Encyclopedia of Social Network Analysis and Mining 2014: 1920-1923 - [r6]Nitin Agarwal, Debanjan Mahata, Huan Liu:
Time- and Event-Driven Modeling of Blogger Influence. Encyclopedia of Social Network Analysis and Mining 2014: 2154-2165 - [i6]Fred Morstatter, Jürgen Pfeffer, Huan Liu:
When is it Biased? Assessing the Representativeness of Twitter's Streaming API. CoRR abs/1401.7909 (2014) - [i5]Ashwin Rajadesingan, Huan Liu:
Identifying Users with Opposing Opinions in Twitter Debates. CoRR abs/1402.7143 (2014) - [i4]Fred Morstatter, Nichola Lubold, Heather Pon-Barry, Jürgen Pfeffer, Huan Liu:
Finding Eyewitness Tweets During Crises. CoRR abs/1403.1773 (2014) - [i3]Shamanth Kumar, Huan Liu, Sameep Mehta, L. Venkata Subramaniam:
From Tweets to Events: Exploring a Scalable Solution for Twitter Streams. CoRR abs/1405.1392 (2014) - [i2]Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu:
Negative Link Prediction in Social Media. CoRR abs/1412.2723 (2014) - 2013
- [b4]Geoffrey Barbier, Zhuo Feng, Pritam Gundecha, Huan Liu:
Provenance Data in Social Media. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2013, ISBN 9781608457830, pp. 1-84 - [j58]Xufei Wang, Lei Tang, Huan Liu, Lei Wang:
Learning with multi-resolution overlapping communities. Knowl. Inf. Syst. 36(2): 517-535 (2013) - [j57]Jiliang Tang, Yi Chang, Huan Liu:
Mining social media with social theories: a survey. SIGKDD Explor. 15(2): 20-29 (2013) - [j56]Jiliang Tang, Xia Hu, Huan Liu:
Social recommendation: a review. Soc. Netw. Anal. Min. 3(4): 1113-1133 (2013) - [j55]Zheng Zhao, Lei Wang, Huan Liu, Jieping Ye:
On Similarity Preserving Feature Selection. IEEE Trans. Knowl. Data Eng. 25(3): 619-632 (2013) - [c145]Kathleen M. Carley, Jürgen Pfeffer, Huan Liu, Fred Morstatter, Rebecca Goolsby:
Near real time assessment of social media using geo-temporal network analytics. ASONAM 2013: 517-524 - [c144]Huiji Gao, Xufei Wang, Jiliang Tang, Huan Liu:
Network denoising in social media. ASONAM 2013: 564-571 - [c143]Zhuo Feng, Pritam Gundecha, Huan Liu:
Recovering information recipients in social media via provenance. ASONAM 2013: 706-711 - [c142]Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu:
Modeling temporal effects of human mobile behavior on location-based social networks. CIKM 2013: 1673-1678 - [c141]Pritam Gundecha, Zhuo Feng, Huan Liu:
Seeking provenance of information using social media. CIKM 2013: 1691-1696 - [c140]Suhas Ranganath, Pritam Gundecha, Huan Liu:
A tool for assisting provenance search in social media. CIKM 2013: 2517-2520 - [c139]Shamanth Kumar, Fred Morstatter, Reza Zafarani, Huan Liu:
Whom should I follow?: identifying relevant users during crises. HT 2013: 139-147 - [c138]Fred Morstatter, Jürgen Pfeffer, Huan Liu, Kathleen M. Carley:
Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose. ICWSM 2013 - [c137]Xia Hu, Jiliang Tang, Yanchao Zhang, Huan Liu:
Social Spammer Detection in Microblogging. IJCAI 2013: 2633-2639 - [c136]Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu:
Exploiting Local and Global Social Context for Recommendation. IJCAI 2013: 2712-2718 - [c135]Reza Zafarani, Huan Liu:
Connecting users across social media sites: a behavioral-modeling approach. KDD 2013: 41-49 - [c134]Pritam Gundecha, Suhas Ranganath, Zhuo Feng, Huan Liu:
A tool for collecting provenance data in social media. KDD 2013: 1462-1465 - [c133]Fred Morstatter, Shamanth Kumar, Huan Liu, Ross Maciejewski:
Understanding Twitter data with TweetXplorer. KDD 2013: 1482-1485 - [c132]Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu:
Context-aware review helpfulness rating prediction. RecSys 2013: 1-8 - [c131]Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu:
Exploring temporal effects for location recommendation on location-based social networks. RecSys 2013: 93-100 - [c130]Mohammad Ali Abbasi, Huan Liu:
Measuring User Credibility in Social Media. SBP 2013: 441-448 - [c129]Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu:
Unsupervised Feature Selection for Multi-View Data in Social Media. SDM 2013: 270-278 - [c128]Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu:
ActNeT: Active Learning for Networked Texts in Microblogging. SDM 2013: 306-314 - [c127]Jiliang Tang, Huan Liu:
CoSelect: Feature Selection with Instance Selection for Social Media Data. SDM 2013: 695-703 - [c126]Isaac Jones, Huan Liu:
Mining Social Media: Challenges and Opportunities. SOCIETY 2013: 90-99 - [c125]Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu:
Exploiting homophily effect for trust prediction. WSDM 2013: 53-62 - [c124]Xia Hu, Lei Tang, Jiliang Tang, Huan Liu:
Exploiting social relations for sentiment analysis in microblogging. WSDM 2013: 537-546 - [c123]Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu:
Unsupervised sentiment analysis with emotional signals. WWW 2013: 607-618 - [p8]Salem Alelyani, Jiliang Tang, Huan Liu:
Feature Selection for Clustering: A Review. Data Clustering: Algorithms and Applications 2013: 29-60 - [i1]Fred Morstatter, Jürgen Pfeffer, Huan Liu, Kathleen M. Carley:
Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose. CoRR abs/1306.5204 (2013) - 2012
- [j54]Geoffrey Barbier, Reza Zafarani, Huiji Gao, Gabriel Pui Cheong Fung, Huan Liu:
Maximizing benefits from crowdsourced data. Comput. Math. Organ. Theory 18(3): 257-279 (2012) - [j53]Lei Tang, Xufei Wang, Huan Liu:
Community detection via heterogeneous interaction analysis. Data Min. Knowl. Discov. 25(1): 1-33 (2012) - [j52]Fred Morstatter, Huan Liu, Daniel Zeng:
Opening Doors to Sharing Social Media Data. IEEE Intell. Syst. 27(1): 47-51 (2012) - [j51]Jiliang Tang, Xufei Wang, Huiji Gao, Xia Hu, Huan Liu:
Enriching short text representation in microblog for clustering. Frontiers Comput. Sci. China 6(1): 88-101 (2012) - [j50]Nitin Agarwal, Huan Liu, Lei Tang, Philip S. Yu:
Modeling blogger influence in a community. Soc. Netw. Anal. Min. 2(2): 139-162 (2012) - [j49]Lei Tang, Huan Liu, Jianping Zhang:
Identifying Evolving Groups in Dynamic Multimode Networks. IEEE Trans. Knowl. Data Eng. 24(1): 72-85 (2012) - [j48]Lei Tang, Xufei Wang, Huan Liu:
Scalable Learning of Collective Behavior. IEEE Trans. Knowl. Data Eng. 24(6): 1080-1091 (2012) - [c122]Ullas Nambiar, Tanveer A. Faruquie, Shamanth Kumar, Fred Morstatter, Huan Liu:
Faceted Browsing over Social Media. BDA 2012: 91-100 - [c121]Huiji Gao, Jiliang Tang, Huan Liu:
gSCorr: modeling geo-social correlations for new check-ins on location-based social networks. CIKM 2012: 1582-1586 - [c120]Salem Alelyani, Huan Liu:
Supervised Low Rank Matrix Approximation for Stable Feature Selection. ICMLA (1) 2012: 324-329 - [c119]Salem Alelyani, Huan Liu:
Ensemble Feature Selection in Face Recognition: ICMLA 2012 Challenge. ICMLA (2) 2012: 588-591 - [c118]Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Huan Liu:
Discovering Trust Networks for the Selection of Trustworthy Service Providers in Complex Contextual Social Networks. ICWS 2012: 384-391 - [c117]Huiji Gao, Jiliang Tang, Huan Liu:
Exploring Social-Historical Ties on Location-Based Social Networks. ICWSM 2012 - [c116]Jiliang Tang, Huiji Gao, Huan Liu, Atish Das Sarma:
eTrust: understanding trust evolution in an online world. KDD 2012: 253-261 - [c115]Jiliang Tang, Huan Liu:
Unsupervised feature selection for linked social media data. KDD 2012: 904-912 - [c114]Shamanth Kumar, Fred Morstatter, Grant Marshall, Huan Liu, Ullas Nambiar:
Navigating information facets on twitter (NIF-T). KDD 2012: 1548-1551 - [c113]Mohammad Ali Abbasi, Sun-Ki Chai, Huan Liu, Kiran Sagoo:
Real-World Behavior Analysis through a Social Media Lens. SBP 2012: 18-26 - [c112]Mohammad Ali Abbasi, Shamanth Kumar, Jose Augusto Andrade Filho, Huan Liu:
Lessons Learned in Using Social Media for Disaster Relief - ASU Crisis Response Game. SBP 2012: 282-289 - [c111]Jiliang Tang, Huan Liu:
Feature Selection with Linked Data in Social Media. SDM 2012: 118-128 - [c110]Jiliang Tang, Huiji Gao, Huan Liu:
mTrust: discerning multi-faceted trust in a connected world. WSDM 2012: 93-102 - [c109]Xia Hu, Huan Liu:
Social status and role analysis of palin's email network. WWW (Companion Volume) 2012: 531-532 - [p7]Xia Hu, Huan Liu:
Text Analytics in Social Media. Mining Text Data 2012: 385-414 - 2011
- [j47]Lei Tang, Huan Liu:
Leveraging social media networks for classification. Data Min. Knowl. Discov. 23(3): 447-478 (2011) - [j46]Sai T. Moturu, Huan Liu:
Quantifying the trustworthiness of social media content. Distributed Parallel Databases 29(3): 239-260 (2011) - [j45]Niyati Yagnik, Huan Liu, H. J. S. Fernando:
Sensor networks: decentralized monitoring and subspace classification of events. Int. J. Gen. Syst. 40(4): 457-483 (2011) - [j44]Niyati Yagnik, Huan Liu, H. J. S. Fernando:
Erratum. Int. J. Gen. Syst. 40(8): 883 (2011) - [j43]Huan Liu, Dana S. Nau:
Introduction. ACM Trans. Intell. Syst. Technol. 3(1): 6:1 (2011) - [j42]Lei Tang, Xufei Wang, Huan Liu:
Group Profiling for Understanding Social Structures. ACM Trans. Intell. Syst. Technol. 3(1): 15:1-15:25 (2011) - [j41]Geoffrey Barbier, Lei Tang, Huan Liu:
Understanding online groups through social media. WIREs Data Mining Knowl. Discov. 1(4): 330-338 (2011) - [c108]Shamanth Kumar, Reza Zafarani, Huan Liu:
Understanding User Migration Patterns in Social Media. AAAI 2011: 1204-1209 - [c107]Xufei Wang, Huan Liu, Wei Fan:
Connecting users with similar interests via tag network inference. CIKM 2011: 1019-1024 - [c106]Xia Hu, Lei Tang, Huan Liu:
Enhancing accessibility of microblogging messages using semantic knowledge. CIKM 2011: 2465-2468 - [c105]Salem Alelyani, Zheng Zhao, Huan Liu:
A Dilemma in Assessing Stability of Feature Selection Algorithms. HPCC 2011: 701-707 - [c104]Xufei Wang, Jiliang Tang, Huan Liu:
Document Clustering via Matrix Representation. ICDM 2011: 804-813 - [c103]Anirudh Kondaveeti, George C. Runger, Huan Liu, Jeremy Rowe:
Extracting geographic knowledge from sensor intervention data using spatial association rules. ICSDM 2011: 127-130 - [c102]Salem Alelyani, Huan Liu, Lei Wang:
The Effect of the Characteristics of the Dataset on the Selection Stability. ICTAI 2011: 970-977 - [c101]Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, Rodrigo Fernandes de Mello, Salem Alelyani, Huan Liu:
Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach. ICTAI 2011: 994-997 - [c100]Shamanth Kumar, Geoffrey Barbier, Mohammad Ali Abbasi, Huan Liu:
TweetTracker: An Analysis Tool for Humanitarian and Disaster Relief. ICWSM 2011 - [c99]Pritam Gundecha, Geoffrey Barbier, Huan Liu:
Exploiting vulnerability to secure user privacy on a social networking site. KDD 2011: 511-519 - [c98]Gabriel Pui Cheong Fung, Fred Morstatter, Huan Liu:
Feature Selection Strategy in Text Classification. PAKDD (1) 2011: 26-37 - [c97]Huiji Gao, Xufei Wang, Geoffrey Barbier, Huan Liu:
Promoting Coordination for Disaster Relief - From Crowdsourcing to Coordination. SBP 2011: 197-204 - [c96]Geoffrey Barbier, Huan Liu:
Information Provenance in Social Media. SBP 2011: 276-283 - [c95]Jiliang Tang, Xufei Wang, Huan Liu:
Integrating Social Media Data for Community Detection. MSM/MUSE 2011: 1-20 - [p6]Geoffrey Barbier, Huan Liu:
Data Mining in Social Media. Social Network Data Analytics 2011: 327-352 - 2010
- [b3]Lei Tang, Huan Liu:
Community Detection and Mining in Social Media. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2010, ISBN 978-3-031-00772-9 - [j40]Lei Tang, Huan Liu:
Toward Predicting Collective Behavior via Social Dimension Extraction. IEEE Intell. Syst. 25(4): 19-25 (2010) - [j39]Huan Liu, Philip S. Yu, Nitin Agarwal, Torsten Suel:
Guest Editors' Introduction: Social Computing in the Blogosphere. IEEE Internet Comput. 14(2): 12-14 (2010) - [j38]Nitin Agarwal, Magdiel Galan Oliveras, Huan Liu, Shankara B. Subramanya:
WisColl: Collective wisdom based blog clustering. Inf. Sci. 180(1): 39-61 (2010) - [j37]Huan Liu, Dana S. Nau:
Introduction to the ACM TIST special issue AI in social computing and cultural modeling. ACM Trans. Intell. Syst. Technol. 1(1): 2:1-2:2 (2010) - [c94]Zheng Zhao, Lei Wang, Huan Liu:
Efficient Spectral Feature Selection with Minimum Redundancy. AAAI 2010: 673-678 - [c93]Zheng Zhao, Huan Liu, Jiangxin Wang, Yung Chang:
Biological Relevance Detection via Network Dynamic Analysis. BICoB 2010: 44-49 - [c92]Xufei Wang, Lei Tang, Huiji Gao, Huan Liu:
Discovering Overlapping Groups in Social Media. ICDM 2010: 569-578 - [c91]Lei Tang, Xufei Wang, Huan Liu, Lei Wang:
A multi-resolution approach to learning with overlapping communities. SOMA@KDD 2010: 14-22 - [c90]Lei Tang, Huiji Gao, Huan Liu:
Network quantification despite biased labels. MLG@KDD 2010: 147-154 - [c89]Lei Tang, Geoffrey Barbier, Huan Liu, Jianping Zhang:
A Social Network Analysis Approach to Detecting Suspicious Online Financial Activities. SBP 2010: 390-397 - [c88]Shamanth Kumar, Reza Zafarani, Mohammad Ali Abbasi, Geoffrey Barbier, Huan Liu:
Convergence of Influential Bloggers for Topic Discovery in the Blogosphere. SBP 2010: 406-412 - [c87]Reza Zafarani, William D. Cole, Huan Liu:
Sentiment Propagation in Social Networks: A Case Study in LiveJournal. SBP 2010: 413-420 - [c86]Zheng Zhao, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Liu, Yung Chang:
An Integrative Approach to Indentifying Biologically Relevant Genes. SDM 2010: 838-849 - [c85]Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao:
Preface. FSDM 2010: 1-3 - [c84]Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao:
Feature Selection: An Ever Evolving Frontier in Data Mining. FSDM 2010: 4-13 - [p5]Lei Tang, Huan Liu:
Understanding Group Structures and Properties in Social Media. Link Mining 2010: 163-185 - [p4]Lei Tang, Huan Liu:
Graph Mining Applications to Social Network Analysis. Managing and Mining Graph Data 2010: 487-513 - [p3]Nitin Agarwal, Magdiel Galan, Huan Liu, Shankara B. Subramanya:
Clustering of Blog Sites Using Collective Wisdom. Computational Social Network Analysis 2010: 107-134 - [e2]Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao:
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, FSDM, held at PAKDD 2010, Hyderabad, India, June 21st, 2010. JMLR Proceedings 10, JMLR.org 2010 [contents] - [r5]Huan Liu:
Feature Selection. Encyclopedia of Machine Learning 2010: 402-406
2000 – 2009
- 2009
- [b2]Nitin Agarwal, Huan Liu:
Modeling and Data Mining in Blogosphere. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2009, ISBN 978-3-031-00770-5 - [j36]Zheng Zhao, Huan Liu:
Searching for interacting features in subset selection. Intell. Data Anal. 13(2): 207-228 (2009) - [j35]Huan Liu, John J. Salerno, Michael Young, Rakesh Agrawal, Philip S. Yu:
Introduction to special issue on social computing, behavioral modeling, and prediction. ACM Trans. Knowl. Discov. Data 3(2): 6:1-6:3 (2009) - [c83]Lei Tang, Huan Liu:
Scalable learning of collective behavior based on sparse social dimensions. CIKM 2009: 1107-1116 - [c82]Sai T. Moturu, Jian Yang, Huan Liu:
Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media. CSE (4) 2009: 489-494 - [c81]Nitin Agarwal, Huan Liu, Shankara B. Subramanya, John J. Salerno, Philip S. Yu:
Connecting Sparsely Distributed Similar Bloggers. ICDM 2009: 11-20 - [c80]Zheng Zhao, Shashvata Sharma, Nitin Agarwal, Huan Liu, Jiangxin Wang, Yung Chang:
Integrating Knowledge in Search of Biologically Relevant Genes. ICDM Workshops 2009: 88-93 - [c79]Lei Tang, Xufei Wang, Huan Liu:
Uncoverning Groups via Heterogeneous Interaction Analysis. ICDM 2009: 503-512 - [c78]Nitin Agarwal, Shamanth Kumar, Huan Liu, Mark Woodward:
BlogTrackers: A Tool for Sociologists to Track and Analyze Blogosphere. ICWSM 2009 - [c77]Nitin Agarwal, Huan Liu, Sudheendra Murthy, Arunabha Sen, Xufei Wang:
A Social Identity Approach to Identify Familiar Strangers in a Social Network. ICWSM 2009 - [c76]Reza Zafarani, Huan Liu:
Connecting Corresponding Identities across Communities. ICWSM 2009 - [c75]Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye:
Multiclass Probabilistic Kernel Discriminant Analysis. IJCAI 2009: 1363-1368 - [c74]Lei Tang, Huan Liu:
Relational learning via latent social dimensions. KDD 2009: 817-826 - [c73]Sai T. Moturu, Huan Liu:
Evaluating the trustworthiness of Wikipedia articles through quality and credibility. Int. Sym. Wikis 2009 - [r4]Huan Liu, Zheng Zhao:
Manipulating Data and Dimension Reduction Methods: Feature Selection. Encyclopedia of Complexity and Systems Science 2009: 5348-5359 - [r3]Lei Tang, Huan Liu, Jianping Zhang:
Bridging Taxonomic Semantics to Accurate Hierarchical Classification. Encyclopedia of Data Warehousing and Mining 2009: 178-182 - [r2]Payam Refaeilzadeh, Lei Tang, Huan Liu:
Cross-Validation. Encyclopedia of Database Systems 2009: 532-538 - [r1]Nitin Agarwal, Huan Liu:
Trust in Blogosphere. Encyclopedia of Database Systems 2009: 3187-3191 - 2008
- [j34]Shankara B. Subramanya, Zheshen Wang, Baoxin Li, Huan Liu:
Completing missing views for multiple sources of web media. Int. J. Data Min. Model. Manag. 1(1): 23-44 (2008) - [j33]Nitin Agarwal, Huan Liu:
Blogosphere: research issues, tools, and applications. SIGKDD Explor. 10(1): 18-31 (2008) - [j32]Lei Tang, Huan Liu, Jianping Zhang, Nitin Agarwal, John J. Salerno:
Topic taxonomy adaptation for group profiling. ACM Trans. Knowl. Discov. Data 1(4): 1:1-1:28 (2008) - [c72]Sai T. Moturu, Huan Liu, William G. Johnson:
Healthcare Risk Modeling for Medicaid Patients - The Impact of Sampling on the Prediction of High-Cost Patients. HEALTHINF (1) 2008: 126-133 - [c71]Sai T. Moturu, Huan Liu, William G. Johnson:
Understanding the Effects of Sampling on Healthcare Risk Modeling for the Prediction of Future High-Cost Patients. BIOSTEC (Selected Papers) 2008: 493-506 - [c70]Shankara B. Subramanya, Huan Liu:
Socialtagger - collaborative tagging for blogs in the long tail. SSM 2008: 19-26 - [c69]Nitin Agarwal, Magdiel Galan Oliveras, Huan Liu, Shankara B. Subramanya:
Clustering Blogs with Collective Wisdom. ICWE 2008: 336-339 - [c68]Shankara B. Subramanya, Baoxin Li, Huan Liu:
Robust integration of multiple information sources by view completion. IRI 2008: 398-403 - [c67]Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri:
Community evolution in dynamic multi-mode networks. KDD 2008: 677-685 - [c66]Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Yung Chang:
Identifying biologically relevant genes via multiple heterogeneous data sources. KDD 2008: 839-847 - [c65]Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene E. Alexander, Eric Reiman:
Heterogeneous data fusion for alzheimer's disease study. KDD 2008: 1025-1033 - [c64]Wai Kit Wong, David W. Cheung, Edward Hung, Huan Liu:
Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining. PAKDD 2008: 381-392 - [c63]Nitin Agarwal, Huan Liu, Lei Tang, Philip S. Yu:
Identifying the influential bloggers in a community. WSDM 2008: 207-218 - [c62]Zheng Zhao, Huan Liu:
Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis. FSDM 2008: 36-47 - [p2]Nitin Agarwal, Huan Liu, John J. Salerno, Philip S. Yu:
Searching for "Familiar Strangers" on Blogosphere. Next Generation of Data Mining 2008 - [p1]Manoranjan Dash, Huan Liu:
Dimensionality Reduction. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [c61]Sai T. Moturu, William G. Johnson, Huan Liu:
Predicting Future High-Cost Patients: A Real-World Risk Modeling Application. BIBM 2007: 202-208 - [c60]Jieping Ye, Zheng Zhao, Huan Liu:
Adaptive Distance Metric Learning for Clustering. CVPR 2007 - [c59]Zheng Zhao, Huan Liu:
Spectral feature selection for supervised and unsupervised learning. ICML 2007: 1151-1157 - [c58]Zheng Zhao, Huan Liu:
Searching for Interacting Features. IJCAI 2007: 1156-1161 - [c57]Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu:
Nonlinear adaptive distance metric learning for clustering. KDD 2007: 123-132 - [c56]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Huan Liu, Philip S. Yu:
Time-dependent event hierarchy construction. KDD 2007: 300-309 - [c55]Zheng Zhao, Huan Liu:
Semi-supervised Feature Selection via Spectral Analysis. SDM 2007: 641-646 - 2006
- [j31]Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Parsons:
A Subspace Clustering Framework for Research Group Collaboration. Int. J. Inf. Technol. Web Eng. 1(1): 35-58 (2006) - [j30]Jianping Zhang, Huan Liu, Paul P. Wang:
Some current issues of streaming data mining. Inf. Sci. 176(14): 1949-1951 (2006) - [j29]K. Selçuk Candan, Jong Wook Kim, Huan Liu, Reshma Suvarna:
Discovering mappings in hierarchical data from multiple sources using the inherent structure. Knowl. Inf. Syst. 10(2): 185-210 (2006) - [j28]Nitin Agarwal, Huan Liu, Jianping Zhang:
Blocking objectionable web content by leveraging multiple information sources. SIGKDD Explor. 8(1): 17-26 (2006) - [c54]Ping Wu, Ji-Rong Wen, Huan Liu, Wei-Ying Ma:
Query Selection Techniques for Efficient Crawling of Structured Web Sources. ICDE 2006: 47 - [c53]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung, Huan Liu:
A Balanced Ensemble Approach to Weighting Classifiers for Text Classification. ICDM 2006: 869-873 - [c52]Surendra K. Singhi, Huan Liu:
Feature subset selection bias for classification learning. ICML 2006: 849-856 - [c51]Lei Tang, Jianping Zhang, Huan Liu:
Acclimatizing taxonomic semantics for hierarchical content classification from semantics to data-driven taxonomy. KDD 2006: 384-393 - 2005
- [j27]Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris H. Q. Ding, Fuhui Long, Michael E. Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman:
Evolving Feature Selection. IEEE Intell. Syst. 20(6): 64-76 (2005) - [j26]Huan Liu, Lei Yu:
Toward Integrating Feature Selection Algorithms for Classification and Clustering. IEEE Trans. Knowl. Data Eng. 17(4): 491-502 (2005) - [c50]Prabhdeep Singh, R. Bhimavarapu, Hasan Davulcu, Chitta Baral, Seungchan Kim, Huan Liu, Michael L. Bittner, I. V. Ramakrishnan:
BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers. DILS 2005: 19-30 - [c49]Surendra K. Singhi, Huan Liu:
Error-Sensitive Grading for Model Combination. ECML 2005: 724-732 - [c48]Lei Tang, Huan Liu:
Bias Analysis in Text Classification for Highly Skewed Data. ICDM 2005: 781-784 - [c47]Rong Jin, Huan Liu:
Learning with Labeled Sessions. IJCAI 2005: 740-745 - [c46]Rong Jin, Huan Liu:
A Novel Approach to Model Generation for Heterogeneous Data Classification. IJCAI 2005: 746-751 - [c45]Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Parsons:
Research Paper Recommender Systems: A Subspace Clustering Approach. WAIM 2005: 475-491 - [c44]Jian-Tao Sun, Hua-Jun Zeng, Huan Liu, Yuchang Lu, Zheng Chen:
CubeSVD: a novel approach to personalized Web search. WWW 2005: 382-390 - [e1]Tu Bao Ho, David Wai-Lok Cheung, Huan Liu:
Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings. Lecture Notes in Computer Science 3518, Springer 2005, ISBN 3-540-26076-5 [contents] - 2004
- [j25]Huan Liu, Hiroshi Motoda, Lei Yu:
A selective sampling approach to active feature selection. Artif. Intell. 159(1-2): 49-74 (2004) - [j24]Lei Yu, Huan Liu:
Efficient Feature Selection via Analysis of Relevance and Redundancy. J. Mach. Learn. Res. 5: 1205-1224 (2004) - [j23]Patricia G. Foschi, Huan Liu:
Active learning for detecting a spectrally variable subject in color infrared imagery. Pattern Recognit. Lett. 25(13): 1509-1517 (2004) - [j22]Lance Parsons, Ehtesham Haque, Huan Liu:
Subspace clustering for high dimensional data: a review. SIGKDD Explor. 6(1): 90-105 (2004) - [c43]Rong Jin, Huan Liu:
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data. ECML 2004: 560-562 - [c42]Rong Jin, Huan Liu:
Robust feature induction for support vector machines. ICML 2004 - [c41]Lei Yu, Huan Liu:
Redundancy based feature selection for microarray data. KDD 2004: 737-742 - [c40]Amit Mandvikar, Huan Liu, Hiroshi Motoda:
Compact Dual Ensembles for Active Learning. PAKDD 2004: 293-297 - [c39]Amit Mandvikar, Huan Liu:
Class-Specific Ensembles for Active Learning. SDM 2004: 412-421 - [c38]Huan Liu, Amit Mandvikar, Jigar Mody:
An Empirical Study of Building Compact Ensembles. WAIM 2004: 622-627 - 2003
- [j21]Manoranjan Dash, Huan Liu:
Consistency-based search in feature selection. Artif. Intell. 151(1-2): 155-176 (2003) - [j20]Manoranjan Dash, Huan Liu, Peter Scheuermann, Kian-Lee Tan:
Fast hierarchical clustering and its validation. Data Knowl. Eng. 44(1): 109-138 (2003) - [c37]Hung V. Nguyen, P. Velamuru, Deepak Kolippakkam, Hasan Davulcu, Huan Liu, M. Ates:
Mining "Hidden Phrase" Definitions from the Web. APWeb 2003: 156-165 - [c36]Lei Yu, Huan Liu:
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. ICML 2003: 856-863 - [c35]Huan Liu, Amit Mandvikar, Patricia G. Foschi, Kari Torkkola:
Active Learning with Ensembles for Image Classification. IJCAI 2003: 1435-1436 - [c34]Lei Yu, Huan Liu:
Efficiently handling feature redundancy in high-dimensional data. KDD 2003: 685-690 - [c33]Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda:
Active Feature Selection Using Classes. PAKDD 2003: 474-485 - 2002
- [j19]Huan Liu, Hiroshi Motoda:
On Issues of Instance Selection. Data Min. Knowl. Discov. 6(2): 115-130 (2002) - [j18]Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan Dash:
Discretization: An Enabling Technique. Data Min. Knowl. Discov. 6(4): 393-423 (2002) - [j17]Dimuthu Prasanna Makawita, Kian-Lee Tan, Huan Liu:
Sampling from databases using B^+-Trees. Intell. Data Anal. 6(4): 359-377 (2002) - [j16]Zheng Chen, Fan Lin, Huan Liu, Wei-Ying Ma, Liu Wenyin:
User Intention Modelling in Web Applications Using Data Mining. World Wide Web 5(2): 181-192 (2002) - [c32]Manoranjan Dash, Kiseok Choi, Peter Scheuermann, Huan Liu:
Feature Selection for Clustering - A Filter Solution. ICDM 2002: 115-122 - [c31]Huan Liu, Hiroshi Motoda, Lei Yu:
Feature Selection with Selective Sampling. ICML 2002: 395-402 - [c30]Patricia G. Foschi, Deepak Kolippakkam, Huan Liu, Amit Mandvikar:
Feature Extraction for Image Mining. Multimedia Information Systems 2002: 103-109 - 2001
- [j15]K. Selçuk Candan, Huan Liu, Reshma Suvarna:
Resource Description Framework: Metadata and Its Applications. SIGKDD Explor. 3(1): 6-19 (2001) - [j14]Huan Liu, Hongjun Lu, Jun Yao:
Toward Multidatabase Mining: Identifying Relevant Databases. IEEE Trans. Knowl. Data Eng. 13(4): 541-553 (2001) - [c29]Manoranjan Dash, Huan Liu, X. Xu:
'1 + 1 > 2': Merging Distance and Density Based Clustering. DASFAA 2001: 32-39 - [c28]Baohua Gu, Bing Liu, Feifang Hu, Huan Liu:
Efficiently Determine the Starting Sample Size for Progressive Sampling. DMKD 2001 - [c27]Baohua Gu, Bing Liu, Feifang Hu, Huan Liu:
Efficiently Determining the Starting Sample Size for Progressive Sampling. ECML 2001: 192-202 - [c26]Manoranjan Dash, Kian-Lee Tan, Huan Liu:
Efficient Yet Accurate Clustering. ICDM 2001: 99-106 - [c25]Manoranjan Dash, Huan Liu:
Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions. PAKDD 2001: 495-506 - 2000
- [c24]Dimuthu Prasanna Makawita, Kian-Lee Tan, Huan Liu:
Sampling from Databases Using B+-Trees. CIKM 2000: 158-164 - [c23]Farhad Hussain, Huan Liu, Einoshin Suzuki, Hongjun Lu:
Exception Rule Mining with a Relative Interestingness Measure. PAKDD 2000: 86-97 - [c22]Manoranjan Dash, Huan Liu, Hiroshi Motoda:
Consistency Based Feature Selection. PAKDD 2000: 98-109 - [c21]Manoranjan Dash, Huan Liu:
Feature Selection for Clustering. PAKDD 2000: 110-121
1990 – 1999
- 1999
- [j13]Rudy Setiono, Huan Liu:
A connectionist approach to generating oblique decision trees. IEEE Trans. Syst. Man Cybern. Part B 29(3): 440-444 (1999) - [c20]Huan Liu, Hongjun Lu:
Mining Weak Rules. COMPSAC 1999: 309-310 - [c19]Manoranjan Dash, Huan Liu, Hiroshi Motoda:
Feature Selection Using Consistency Measure. Discovery Science 1999: 319-320 - [c18]Manoranjan Dash, Huan Liu:
Handling Large Unsupervised Data via Dimensionality Reduction. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 - [c17]Huan Liu, Hongjun Lu, Ling Feng, Farhad Hussain:
Efficient Search of Reliable Exceptions. PAKDD 1999: 194-203 - 1998
- [b1]Huan Liu, Hiroshi Motoda:
Feature Selection for Knowledge Discovery and Data Mining. The Springer International Series in Engineering and Computer Science 454, Kluwer 1998, ISBN 978-1-4613-7604-0, pp. 1-214 - [j12]Huan Liu, Rudy Setiono:
Incremental Feature Selection. Appl. Intell. 9(3): 217-230 (1998) - [j11]Rudy Setiono, Huan Liu:
Analysis of Hidden Representations by Greedy Clustering. Connect. Sci. 10(1): 21-42 (1998) - [j10]Huan Liu, Hiroshi Motoda:
Guest Editors' Introduction: Feature Transformation and Subset Selection. IEEE Intell. Syst. 13(2): 26-28 (1998) - [c16]Huan Liu, Rudy Setiono:
Feature Transformation and Multivariate Decision Tree Induction. Discovery Science 1998: 279-290 - [c15]Huan Liu, Hiroshi Motoda, Manoranjan Dash:
A Monotonic Measure for Optimal Feature Selection. ECML 1998: 101-106 - [c14]Rudy Setiono, Huan Liu:
Fragmentation problem and automated feature construction. ICTAI 1998: 208-215 - [c13]Huan Liu, Hongjun Lu, Jun Yao:
Identifying Relevant Databases for Multidatabase Mining. PAKDD 1998: 210-221 - [c12]Ying Lu, Huan Liu, Chew Lim Tan:
CFMD: A Conflict-Free Multivariate Discretization Algorithm. PAKDD 1998: 397-398 - [c11]Manoranjan Dash, Huan Liu:
Hybrid Search of Feature Subsets. PRICAI 1998: 238-249 - 1997
- [j9]Manoranjan Dash, Huan Liu:
Feature Selection for Classification. Intell. Data Anal. 1(1-4): 131-156 (1997) - [j8]Rudy Setiono, Huan Liu:
NeuroLinear: From neural networks to oblique decision rules. Neurocomputing 17(1): 1-24 (1997) - [j7]Huan Liu, Rudy Setiono:
Feature Selection via Discretization. IEEE Trans. Knowl. Data Eng. 9(4): 642-645 (1997) - [j6]Rudy Setiono, Huan Liu:
Neural-network feature selector. IEEE Trans. Neural Networks 8(3): 654-662 (1997) - [c10]Rudy Setiono, Huan Liu:
NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks. ECML 1997: 221-233 - 1996
- [j5]Rudy Setiono, Huan Liu:
Improving Backpropagation Learning with Feature Selection. Appl. Intell. 6(2): 129-139 (1996) - [j4]Rudy Setiono, Huan Liu:
Symbolic Representation of Neural Networks. Computer 29(3): 71-77 (1996) - [j3]Huan Liu, Rudy Setiono:
Dimensionality reduction via discretization. Knowl. Based Syst. 9(1): 67-72 (1996) - [j2]Hongjun Lu, Rudy Setiono, Huan Liu:
Effective Data Mining Using Neural Networks. IEEE Trans. Knowl. Data Eng. 8(6): 957-961 (1996) - [c9]Huan Liu, Rudy Setiono:
A Probabilistic Approach to Feature Selection - A Filter Solution. ICML 1996: 319-327 - [c8]Huan Liu, Rudy Setiono:
Feature Selection and Classification - A Probabilistic Wrapper Approach. IEA/AIE 1996: 419-424 - 1995
- [c7]Hongjun Lu, Rudy Setiono, Huan Liu:
Towards Effective Classfication Rule Extraction (Abstract). KDOOD/TDOOD 1995: 47-49 - [c6]Huan Liu, Rudy Setiono:
Chi2: feature selection and discretization of numeric attributes. ICTAI 1995: 388-391 - [c5]Rudy Setiono, Huan Liu:
Understanding Neural Networks via Rule Extraction. IJCAI 1995: 480-487 - [c4]Hongjun Lu, Rudy Setiono, Huan Liu:
NeuroRule: A Connectionist Approach to Data Mining. VLDB 1995: 478-489 - 1993
- [j1]George A. Bekey, Huan Liu, Rajko Tomovic, Walter J. Karplus:
Knowledge-based control of grasping in robot hands using heuristics from human motor skills. IEEE Trans. Robotics Autom. 9(6): 709-722 (1993)
1980 – 1989
- 1989
- [c3]Huan Liu, Thea Iberall, George A. Bekey:
The multi-dimensional quality of task requirements for dextrous robot hand control. ICRA 1989: 452-457 - 1988
- [c2]Huan Liu, Thea Iberall, George A. Bekey:
Building a generic architecture for robot hand control. ICNN 1988: 567-574 - [c1]Kashipati Rao, Gérard G. Medioni, Huan Liu, George A. Bekey:
Robot hand-eye coordination: shape description and grasping. ICRA 1988: 407-411
Coauthor Index
[c410] [c402] [i162] [i158] [i156] [b10] [j151] [j150] [c391] [i136] [i116] [i111] [j146] [j139] [c372] [c368] [c367] [c362] [c353] [c352] [c351] [c350] [c349] [i108] [i97] [i95] [i92] [i89] [i86] [i84] [j132] [j129] [j128] [j121] [c343] [c334] [c331] [c327] [c326] [i83] [i79] [i78] [i75] [i70] [i69] [i67] [c324] [c321] [c306] [i57] [i56] [i52] [i49] [c296] [c287] [c278] [c272] [c268] [i24]
[j164] [j162] [j161] [c414] [c404] [c396] [c394] [c389] [c388] [c382] [c381] [c376] [c374] [i138] [i134] [i133] [i132] [i127] [j141] [j135] [c373] [c372] [c364] [c360] [c359] [c356] [c355] [c353] [c351] [c348] [c347] [i105] [i104] [i101] [i99] [i90] [i87] [i85] [i84] [c344] [c341] [c336] [c325] [i80] [i76] [i74] [i71] [i68] [i66] [j109] [c319] [c318] [c314] [c312] [c305] [i61] [i59] [i58] [i50] [i47] [c286] [c277] [c271] [i38]
[c410] [i162] [i158] [j150] [c381] [i132] [j139] [c372] [c368] [c362] [c355] [c351] [c350] [c349] [c348] [i108] [i99] [i97] [i86] [i84] [j132] [j125] [j121] [c340] [c331] [c327] [i79] [i70] [i67] [i66] [j113] [c311] [c310] [c307] [c306] [c303] [c302] [i63] [i56] [i52] [c299] [c297] [c296] [c289] [c285] [c278] [c274] [c268] [i40] [i39] [i35] [i34] [c258] [c253] [i27] [i24] [i23]
[j125] [j98] [j85] [c233] [c232] [c231] [c230] [c229] [c221] [i19] [j83] [c216] [c215] [c205] [c204] [c202] [c200] [c196] [c195] [c194] [p10] [j71] [c191] [c189] [c186] [c183] [c179] [c178] [c167] [i9] [i7] [c165] [c163] [c160] [c158] [c157] [c150] [c148] [j56] [c142] [c137] [c136] [c132] [c131] [c129] [c128] [c125] [c124] [c123] [j51] [c109] [p7] [c106]
Tharindu Kumarage
aka: Tharindu S. Kumarage
aka: Tharindu S. Kumarage
[j162] [c404] [c402] [i162] [i160] [i145] [c380] [i129] [i111] [j135] [c360] [c356] [c347] [i101] [i85] [j132] [j127] [i74] [c324] [c318] [c314] [c312] [c311] [c307] [c302] [i59] [i50] [j104] [c299] [c287] [c286] [c285] [c282] [c277] [c272] [c271] [i40] [i38] [i34] [j102] [j101] [j97] [c266] [c264] [c260] [c254] [c253] [c252] [c244] [c243] [c241] [c237] [i26] [i24] [i22] [j93] [c235] [c233] [c229] [c228] [c225] [c223] [c221] [c219] [i20] [i19] [c208] [c205] [c199] [c196] [i13] [i10] [c183]
Adrienne Raglin
aka: Adrienne Jeanisha Raglin
aka: Adrienne Jeanisha Raglin
[c411] [i142] [j148] [j145] [j144] [j143] [j135] [c372] [c346] [c345] [i107] [i106] [i96] [i84] [j130] [c344] [c342] [c331] [e7] [j117] [j116] [j109] [c322] [c321] [c320] [c319] [c318] [c313] [c309] [c308] [c304] [i65] [i62] [i61] [i59] [i58] [i57] [i53] [i52] [i51] [i48] [i47] [b9] [j104] [c301] [c300] [c298] [c293] [c289] [c284] [c283] [c279] [c273] [c270] [c269] [i45] [i44] [i43] [i41] [i39] [i37] [i36] [c264] [c262] [c256] [c255] [c250] [c249] [c246] [c239] [i31] [i30] [i25] [j88] [c217] [i17] [i15] [i14] [j77] [c199]
[j140] [e8] [j110] [i64] [j105] [j103] [j102] [j98] [j95] [c262] [c239] [c237] [e5] [j88] [j85] [c236] [c235] [c234] [c233] [c228] [c220] [c218] [c217] [r8] [i20] [i19] [i17] [j84] [j80] [j77] [c216] [c215] [c211] [c210] [c207] [c203] [c202] [c200] [c198] [c197] [c195] [c193] [i13] [i12] [b7] [j73] [j69] [c191] [c190] [c189] [c183] [c182] [c179] [c176] [c175] [c174] [c170] [c169] [i9] [i8] [i7] [j62] [j61] [j60] [c165] [c163] [c161] [c160] [c159] [c157] [c153] [c152] [c150] [c148] [c147] [p9] [i2] [j57] [j56] [c144] [c142] [c137] [c136] [c132] [c131] [c129] [c128] [c127] [c125] [c124] [c123] [p8] [j51] [c121] [c117] [c116] [c115] [c111] [c110] [c104] [c95]
[j143] [j116] [c317] [c313] [c304] [i65] [j104] [c301] [c298] [c294] [c293] [c289] [c284] [c273] [c270] [i44] [i43] [i39] [j102] [j98] [j96] [j95] [c265] [c264] [c262] [c255] [c250] [c249] [c239] [i25] [j88] [j85] [c236] [c234] [c226] [c222] [c220] [c218] [c217] [r8] [i17] [i15] [i14] [j77] [c216] [c215] [c211] [c210] [c207] [c200] [c197] [i13] [c190] [c182] [c179] [c175] [c174]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:28 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
