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ORCIDHanghang Tong
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- affiliation: Arizona State University
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2020 – today
- 2024
[j89]Michael C. Loui, Nigel Bosch, Anita Say Chan, Jenny L. Davis
, Rochelle Gutiérrez, Jingrui He, Karrie Karahalios, Sanmi Koyejo, Ruby Mendenhall, Madelyn Rose Sanfilippo, Hanghang Tong, Lav R. Varshney, Yang Wang:
Artificial Intelligence, Social Responsibility, and the Roles of the University. Commun. ACM 67(8): 22-25 (2024)- [j88]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) - [j87]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. Proc. IEEE 112(2): 97-139 (2024) - [j86]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
ArieL: Adversarial Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(4): 82:1-82:22 (2024) - [j85]Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King:
Guest Editorial: Special Issue on Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11630-11633 (2024) - [j84]Qing Chen, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu, Hanghang Tong, Nan Cao:
Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams. IEEE Trans. Vis. Comput. Graph. 30(1): 562-572 (2024) - [c267]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 - [c266]Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong:
Hierarchical Multi-Marginal Optimal Transport for Network Alignment. AAAI 2024: 16660-16668 - [c265]Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong:
Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph. ACL (Findings) 2024: 839-850 - [c264]Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song:
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? ACL (1) 2024: 6106-6131 - [c263]Eunice Chan, Zhining Liu, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong:
Group Fairness via Group Consensus. FAccT 2024: 1788-1808 - [c262]Jinning Li, Ruipeng Han, Chenkai Sun, Dachun Sun, Ruijie Wang, Jingying Zeng, Yuchen Yan, Hanghang Tong, Tarek F. Abdelzaher:
Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs. ICCCN 2024: 1-9 - [c261]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
Fairgen: Towards Fair Graph Generation. ICDE 2024: 2285-2297 - [c260]Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He:
Neural Active Learning Beyond Bandits. ICLR 2024 - [c259]Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong:
Deceptive Fairness Attacks on Graphs via Meta Learning. ICLR 2024 - [c258]Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong:
Class-Imbalanced Graph Learning without Class Rebalancing. ICML 2024 - [c257]Ruizhong Qiu, Hanghang Tong:
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. ICML 2024 - [c256]Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong:
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. ICML 2024 - [c255]Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong:
Graph Mixup on Approximate Gromov-Wasserstein Geodesics. ICML 2024 - [c254]Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong:
AIM: Attributing, Interpreting, Mitigating Data Unfairness. KDD 2024: 2014-2025 - [c253]Jun Wu, Jingrui He, Hanghang Tong:
Distributional Network of Networks for Modeling Data Heterogeneity. KDD 2024: 3379-3390 - [c252]Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He:
Heterogeneous Contrastive Learning for Foundation Models and Beyond. KDD 2024: 6666-6676 - [c251]Chuxuan Hu, Qinghai Zhou, Hanghang Tong:
Genius: Subteam Replacement with Clustering-based Graph Neural Networks. SDM 2024: 10-18 - [c250]Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong:
Masked Graph Transformer for Large-Scale Recommendation. SIGIR 2024: 2502-2506 - [c249]Blaine Hill, Lihui Liu, Hanghang Tong:
Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform. WSDM 2024: 1066-1069 - [c248]Lihui Liu, Zihao Wang, Jiaxin Bai, Yangqiu Song, Hanghang Tong:
New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends. WWW (Companion Volume) 2024: 1294-1297 - [c247]Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong:
PaCEr: Network Embedding From Positional to Structural. WWW 2024: 2485-2496 - [c246]Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong:
Ensuring User-side Fairness in Dynamic Recommender Systems. WWW 2024: 3667-3678 - [i102]Weilin Cong, Jian Kang, Hanghang Tong, Mehrdad Mahdavi:
On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method. CoRR abs/2402.16387 (2024) - [i101]Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song:
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? CoRR abs/2402.18272 (2024) - [i100]Weizhi Fei, Zihao Wang, Hang Yin, Yang Duan, Hanghang Tong, Yangqiu Song:
Soft Reasoning on Uncertain Knowledge Graphs. CoRR abs/2403.01508 (2024) - [i99]Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He:
Heterogeneous Contrastive Learning for Foundation Models and Beyond. CoRR abs/2404.00225 (2024) - [i98]Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong:
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. CoRR abs/2404.04264 (2024) - [i97]Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He:
Neural Active Learning Beyond Bandits. CoRR abs/2404.12522 (2024) - [i96]Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Kang Liu, Jun Zhao:
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering. CoRR abs/2404.14741 (2024) - [i95]Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong:
Masked Graph Transformer for Large-Scale Recommendation. CoRR abs/2405.04028 (2024) - [i94]Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong:
Discrete-state Continuous-time Diffusion for Graph Generation. CoRR abs/2405.11416 (2024) - [i93]Ruizhong Qiu, Hanghang Tong:
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. CoRR abs/2405.16805 (2024) - [i92]Ruizhong Qiu, Weiliang Will Zeng, Hanghang Tong, James Ezick, Christopher Lott:
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark. CoRR abs/2406.06647 (2024) - [i91]Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong:
AIM: Attributing, Interpreting, Mitigating Data Unfairness. CoRR abs/2406.08819 (2024) - [i90]Xiaodong Yang, Huiyuan Chen, Yuchen Yan, Yuxin Tang, Yuying Zhao, Eric Xu, Yiwei Cai, Hanghang Tong:
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering. CoRR abs/2406.16170 (2024) - [i89]Zexing Xu, Linjun Zhang, Sitan Yang, S. Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han:
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data. CoRR abs/2406.16221 (2024) - [i88]Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He:
Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection. CoRR abs/2408.04254 (2024) - [i87]Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang:
Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR abs/2409.09957 (2024) - [i86]Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong:
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting. CoRR abs/2410.02195 (2024) - [i85]Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong:
Language Models are Graph Learners. CoRR abs/2410.02296 (2024) - 2023
- [j83]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65(2): 613-640 (2023) - [j82]Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He:
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. SIGKDD Explor. 25(1): 54-72 (2023) - [j81]Lei Shi, Yuankai Luo, Shuai Ma, Hanghang Tong, Zhetao Li, Xiatian Zhang, Zhiguang Shan:
Mobility Inference on Long-Tailed Sparse Trajectory. ACM Trans. Intell. Syst. Technol. 14(1): 18:1-18:26 (2023) - [j80]Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. 35(1): 96-107 (2023) - [j79]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2430-2444 (2023) - [j78]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Graph Vulnerability and Robustness: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5915-5934 (2023) - [j77]Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li:
BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network. IEEE Trans. Knowl. Data Eng. 35(11): 11112-11125 (2023) - [j76]Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong:
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation. ACM Trans. Inf. Syst. 41(3): 59:1-59:28 (2023) - [j75]Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong:
On the Vulnerability of Graph Learning-based Collaborative Filtering. ACM Trans. Inf. Syst. 41(4): 87:1-87:28 (2023) - [c245]Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. ACL (Findings) 2023: 2440-2457 - [c244]Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang:
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. ALT 2023: 1074-1100 - [c243]Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong:
Learning Node Abnormality with Weak Supervision. CIKM 2023: 3584-3594 - [c242]Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong:
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CIKM 2023: 3860-3864 - [c241]Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi:
Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR 2023 - [c240]Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji:
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. ICLR 2023 - [c239]Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong:
Generative Graph Dictionary Learning. ICML 2023: 40749-40769 - [c238]Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong:
Reconstructing Graph Diffusion History from a Single Snapshot. KDD 2023: 1978-1988 - [c237]Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong:
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. KDD 2023: 2256-2268 - [c236]Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong:
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD 2023: 2850-2861 - [c235]Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong:
Node Classification Beyond Homophily: Towards a General Solution. KDD 2023: 2862-2873 - [c234]Lihui Liu, Hanghang Tong:
Knowledge Graph Reasoning and Its Applications. KDD 2023: 5813-5814 - [c233]Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong:
BeMap: Balanced Message Passing for Fair Graph Neural Network. LoG 2023: 37 - [c232]Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong:
From Trainable Negative Depth to Edge Heterophily in Graphs. NeurIPS 2023 - [c231]Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong:
Reconciling Competing Sampling Strategies of Network Embedding. NeurIPS 2023 - [c230]Si Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong:
Representation Learning on Dynamic Network of Networks. SDM 2023: 298-306 - [c229]Shengyu Feng, Hanghang Tong:
Concept Discovery for Fast Adaptation. SDM 2023: 577-585 - [c228]Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong:
MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. WSDM 2023: 517-525 - [c227]Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He:
Natural and Artificial Dynamics in GNNs: A Tutorial. WSDM 2023: 1252-1255 - [c226]Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong:
PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. WWW 2023: 372-382 - [c225]Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim:
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. WWW 2023: 1572-1583 - [c224]Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong:
Knowledge Graph Question Answering with Ambiguous Query. WWW 2023: 2477-2486 - [i84]Shengyu Feng, Hanghang Tong:
Concept Discovery for Fast Adapatation. CoRR abs/2301.07850 (2023) - [i83]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) - [i82]Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi:
Do We Really Need Complicated Model Architectures For Temporal Networks? CoRR abs/2302.11636 (2023) - [i81]Yun-Yong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim:
KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction. CoRR abs/2302.12126 (2023) - [i80]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
FairGen: Towards Fair Graph Generation. CoRR abs/2303.17743 (2023) - [i79]Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong:
Neural Multi-network Diffusion towards Social Recommendation. CoRR abs/2304.04994 (2023) - [i78]Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji:
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. CoRR abs/2305.12738 (2023) - [i77]Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew J. Margenot, Hanghang Tong:
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. CoRR abs/2305.18612 (2023) - [i76]Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong:
Reconstructing Graph Diffusion History from a Single Snapshot. CoRR abs/2306.00488 (2023) - [i75]Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong:
BeMap: Balanced Message Passing for Fair Graph Neural Network. CoRR abs/2306.04107 (2023) - [i74]Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. CoRR abs/2306.07512 (2023) - [i73]Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He:
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. CoRR abs/2307.04338 (2023) - [i72]Qing Chen, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu, Hanghang Tong, Nan Cao:
Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-link Diagrams. CoRR abs/2308.06441 (2023) - [i71]Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong:
Topological Augmentation for Class-Imbalanced Node Classification. CoRR abs/2308.14181 (2023) - [i70]Hyunsik Yoo, Zhichen Zeng, Jian Kang, Zhining Liu, David Zhou, Fei Wang, Eunice Chan, Hanghang Tong:
Ensuring User-side Fairness in Dynamic Recommender Systems. CoRR abs/2308.15651 (2023) - [i69]Yun-Yong Ko, Hanghang Tong, Sang-Wook Kim:
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning. CoRR abs/2309.05798 (2023) - [i68]Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong:
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation. CoRR abs/2309.13384 (2023) - [i67]Zihao Wang, Yongqiang Chen, Yang Duan, Weijiang Li, Bo Han, James Cheng, Hanghang Tong:
Towards out-of-distribution generalizable predictions of chemical kinetics properties. CoRR abs/2310.03152 (2023) - [i66]Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong:
Hierarchical Multi-Marginal Optimal Transport for Network Alignment. CoRR abs/2310.04470 (2023) - [i65]Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong:
Deceptive Fairness Attacks on Graphs via Meta Learning. CoRR abs/2310.15653 (2023) - [i64]Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li:
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. CoRR abs/2311.02757 (2023) - [i63]Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong:
Invariant Graph Transformer. CoRR abs/2312.07859 (2023) - [i62]Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong:
Conversational Question Answering with Reformulations over Knowledge Graph. CoRR abs/2312.17269 (2023) - 2022
- [j74]Lihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong:
Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. IEEE Data Eng. Bull. 45(4): 19-38 (2022) - [j73]Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li:
Enhancing bug localization with bug report decomposition and code hierarchical network. Knowl. Based Syst. 248: 108741 (2022) - [j72]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. SIGKDD Explor. 24(2): 61-77 (2022) - [j71]Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao:
Visual Analytics of Anomalous User Behaviors: A Survey. IEEE Trans. Big Data 8(2): 377-396 (2022) - [j70]Jieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong:
SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2605-2612 (2022) - [j69]Yu Wang, Hanghang Tong, Ziye Zhu, Yun Li:
Nested Named Entity Recognition: A Survey. ACM Trans. Knowl. Discov. Data 16(6): 108:1-108:29 (2022) - [j68]Chen Lin, Dugang Liu, Hanghang Tong, Yanghua Xiao:
Spiral of Silence and Its Application in Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(6): 2934-2947 (2022) - [j67]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Auditing Network Embedding: An Edge Influence Based Approach. IEEE Trans. Knowl. Data Eng. 34(11): 5211-5224 (2022) - [j66]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. 40(2): 24:1-24:28 (2022) - [j65]Tiankai Xie, Yuxin Ma, Jian Kang, Hanghang Tong, Ross Maciejewski:
FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models. IEEE Trans. Vis. Comput. Graph. 28(1): 368-377 (2022) - [c223]Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying:
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. AAAI 2022: 9118-9126 - [c222]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. AKBC 2022 - [c221]Yian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, Hanghang Tong:
iFiG: Individually Fair Multi-view Graph Clustering. IEEE Big Data 2022: 329-338 - [c220]Weikai Xu, Lihui Liu, Hanghang Tong:
ABM: Attention-based Message Passing Network for Knowledge Graph Completion. IEEE Big Data 2022: 339-348 - [c219]Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong:
Self-supervised Hypergraph Representation Learning. IEEE Big Data 2022: 505-514 - [c218]Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He:
Adaptive Knowledge Transfer on Evolving Domains. IEEE Big Data 2022: 1389-1394 - [c217]Wei Du, Xintao Wu, Hanghang Tong:
Fair Regression under Sample Selection Bias. IEEE Big Data 2022: 1435-1444 - [c216]Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
InfoFair: Information-Theoretic Intersectional Fairness. IEEE Big Data 2022: 1455-1464 - [c215]Lihui Liu, Houxiang Ji, Jiejun Xu, Hanghang Tong:
Comparative Reasoning for Knowledge Graph Fact Checking. IEEE Big Data 2022: 2309-2312 - [c214]Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong:
A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. IEEE Big Data 2022: 2932-2939 - [c213]Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong:
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. CIKM 2022: 894-904 - [c212]Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong:
Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. CIKM 2022: 2341-2351 - [c211]Zhenning Zhang, Boxin Du, Hanghang Tong:
SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. CIKM 2022: 4712-4716 - [c210]Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. CIKM 2022: 4848-4852 - [c209]Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
An Invisible Black-Box Backdoor Attack Through Frequency Domain. ECCV (13) 2022: 396-413 - [c208]Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized Few-Shot Node Classification. ICDM 2022: 608-617 - [c207]Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong:
Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. ICDM 2022: 1329-1334 - [c206]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong:
Combining Code Context and Fine-grained Code Difference for Commit Message Generation. Internetware 2022: 242-251 - [c205]Jian Kang, Qinghai Zhou, Hanghang Tong:
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. KDD 2022: 742-752 - [c204]Haoran Li, Hanghang Tong, Yang Weng:
Domain Adaptation in Physical Systems via Graph Kernel. KDD 2022: 868-876 - [c203]Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong:
Fair Representation Learning: An Alternative to Mutual Information. KDD 2022: 1088-1097 - [c202]Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong:
Joint Knowledge Graph Completion and Question Answering. KDD 2022: 1098-1108 - [c201]Jian Kang, Hanghang Tong:
Algorithmic Fairness on Graphs: Methods and Trends. KDD 2022: 4798-4799 - [c200]Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. NeurIPS 2022 - [c199]Haoran Li, Yang Weng, Hanghang Tong:
CoNSoLe: Convex Neural Symbolic Learning. NeurIPS 2022 - [c198]Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He:
Deep Active Learning by Leveraging Training Dynamics. NeurIPS 2022 - [c197]Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong:
A Deep Learning Dataloader with Shared Data Preparation. NeurIPS 2022 - [c196]Shweta Jain, Hanghang Tong:
YACC: A Framework Generalizing TuránShadow for Counting Large Cliques. SDM 2022: 684-692 - [c195]Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. SIGIR 2022: 1728-1738 - [c194]Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong:
Structure Meets Sequences: Predicting Network of Co-evolving Sequences. WSDM 2022: 1090-1098 - [c193]Zhe Xu, Boxin Du, Hanghang Tong:
Graph Sanitation with Application to Node Classification. WWW 2022: 1136-1147 - [c192]Bolian Li, Baoyu Jing, Hanghang Tong:
Graph Communal Contrastive Learning. WWW 2022: 1203-1213 - [c191]Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong:
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. WWW 2022: 1214-1225 - [c190]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. WWW 2022: 1362-1371 - [i61]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. CoRR abs/2202.06491 (2022) - [i60]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. CoRR abs/2202.08235 (2022) - [i59]Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong:
How to optimize an academic team when the outlier member is leaving? CoRR abs/2202.11608 (2022) - [i58]Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong:
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. CoRR abs/2202.13547 (2022) - [i57]Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. CoRR abs/2203.04928 (2022) - [i56]Senrong Xu, Yuan Yao, Liangyue Li, Wei Yang, Feng Xu, Hanghang Tong:
Detecting Topology Attacks against Graph Neural Networks. CoRR abs/2204.10072 (2022) - [i55]Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong:
Learning Optimal Propagation for Graph Neural Networks. CoRR abs/2205.02998 (2022) - [i54]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR abs/2205.07424 (2022) - [i53]Zhenning Zhang, Boxin Du, Hanghang Tong:
SUGER: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. CoRR abs/2205.11231 (2022) - [i52]Wenhao Ding, Qing He, Hanghang Tong, Ping Wang:
PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics. CoRR abs/2205.12262 (2022) - [i51]Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong:
COIN: Co-Cluster Infomax for Bipartite Graphs. CoRR abs/2206.00006 (2022) - [i50]Haoran Li, Yang Weng, Hanghang Tong:
CoNSoLe: Convex Neural Symbolic Learning. CoRR abs/2206.00257 (2022) - [i49]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. CoRR abs/2206.02921 (2022) - [i48]Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong:
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CoRR abs/2206.09477 (2022) - [i47]Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski:
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. CoRR abs/2207.00048 (2022) - [i46]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
ARIEL: Adversarial Graph Contrastive Learning. CoRR abs/2208.06956 (2022) - [i45]Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong:
Retrieval Based Time Series Forecasting. CoRR abs/2209.13525 (2022) - [i44]Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang:
Solving practical multi-body dynamics problems using a single neural operator. CoRR abs/2210.00222 (2022) - [i43]Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. CoRR abs/2210.00423 (2022) - [i42]Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang:
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. CoRR abs/2210.01376 (2022) - [i41]Jian Kang, Qinghai Zhou, Hanghang Tong:
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. CoRR abs/2210.05959 (2022) - [i40]Chuxuan Hu, Qinghai Zhou, Hanghang Tong:
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network. CoRR abs/2211.04100 (2022) - 2021
- [j64]Ziye Zhu, Yun Li, Yu Wang, Yaojing Wang, Hanghang Tong:
A deep multimodal model for bug localization. Data Min. Knowl. Discov. 35(4): 1369-1392 (2021) - [j63]Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong:
How to Optimize an Academic Team When the Outlier Member is Leaving? IEEE Intell. Syst. 36(3): 23-30 (2021) - [j62]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) - [j61]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. 3(2): 656-675 (2021) - [j60]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. ACM Trans. Knowl. Discov. Data 15(2): 18:1-18:26 (2021) - [j59]Wei Wang, Feng Xia, Jian Wu, Zhiguo Gong, Hanghang Tong, Brian D. Davison:
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. ACM Trans. Knowl. Discov. Data 15(3): 40:1-40:19 (2021) - [j58]Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong:
Fast Connectivity Minimization on Large-Scale Networks. ACM Trans. Knowl. Discov. Data 15(3): 53:1-53:25 (2021) - [j57]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1763-1777 (2021) - [j56]Meijia Wang, Jian Kang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong:
Graph Ranking Auditing: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. 33(10): 3366-3380 (2021) - [j55]Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. IEEE Trans. Vis. Comput. Graph. 27(2): 1459-1469 (2021) - [c189]Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong:
Dynamic Knowledge Graph Alignment. AAAI 2021: 4564-4572 - [c188]Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. IEEE BigData 2021: 350-358 - [c187]Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong:
DESTINE: Dense Subgraph Detection on Multi-Layered Networks. CIKM 2021: 3558-3562 - [c186]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Evaluating Graph Vulnerability and Robustness using TIGER. CIKM 2021: 4495-4503 - [c185]Jian Kang, Hanghang Tong:
Fair Graph Mining. CIKM 2021: 4849-4852 - [c184]Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong:
Multiplex Graph Neural Network for Extractive Text Summarization. EMNLP (1) 2021: 133-139 - [c183]Zixuan Zhang, Hongwei Wang, Han Zhao, Hanghang Tong, Heng Ji:
EventKE: Event-Enhanced Knowledge Graph Embedding. EMNLP (Findings) 2021: 1389-1400 - [c182]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM 2021: 837-846 - [c181]Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li:
Individual Fairness for Graph Neural Networks: A Ranking based Approach. KDD 2021: 300-310 - [c180]Boxin Du, Lihui Liu, Hanghang Tong:
Sylvester Tensor Equation for Multi-Way Association. KDD 2021: 311-321 - [c179]Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong:
Neural-Answering Logical Queries on Knowledge Graphs. KDD 2021: 1087-1097 - [c178]Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo:
Balancing Consistency and Disparity in Network Alignment. KDD 2021: 2212-2222 - [c177]Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. KDD 2021: 3308-3318 - [c176]Boxin Du, Si Zhang, Yuchen Yan, Hanghang Tong:
New Frontiers of Multi-Network Mining: Recent Developments and Future Trend. KDD 2021: 4038-4039 - [c175]Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth:
Event Time Extraction and Propagation via Graph Attention Networks. NAACL-HLT 2021: 62-73 - [c174]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. SDM 2021: 181-189 - [c173]Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Unsupervised Attributed Network Embedding via Cross Fusion. WSDM 2021: 797-805 - [c172]Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. WWW 2021: 2414-2424 - [c171]Baoyu Jing, Hanghang Tong, Yada Zhu:
Network of Tensor Time Series. WWW 2021: 2425-2437 - [c170]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. WWW 2021: 2448-2456 - [c169]Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong:
Attent: Active Attributed Network Alignment. WWW 2021: 3896-3906 - [c168]Yuchen Yan, Si Zhang, Hanghang Tong:
BRIGHT: A Bridging Algorithm for Network Alignment. WWW 2021: 3907-3917 - [e4]Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong:
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. ACM 2021, ISBN 978-1-4503-8446-9 [contents] - [i39]Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. CoRR abs/2101.11070 (2021) - [i38]Baoyu Jing, Hanghang Tong, Yada Zhu:
Network of Tensor Time Series. CoRR abs/2102.07736 (2021) - [i37]Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. CoRR abs/2102.07810 (2021) - [i36]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. CoRR abs/2102.11165 (2021) - [i35]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Graph Vulnerability and Robustness: A Survey. CoRR abs/2105.00419 (2021) - [i34]Zhe Xu, Hanghang Tong:
Graph Sanitation with Application to Node Classification. CoRR abs/2105.09384 (2021) - [i33]Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong:
Hypergraph Pre-training with Graph Neural Networks. CoRR abs/2105.10862 (2021) - [i32]Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
MultiFair: Multi-Group Fairness in Machine Learning. CoRR abs/2105.11069 (2021) - [i31]Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong:
Multiplex Graph Neural Network for Extractive Text Summarization. CoRR abs/2108.12870 (2021) - [i30]Baoyu Jing, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong:
Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs. CoRR abs/2109.03560 (2021) - [i29]Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. CoRR abs/2110.00210 (2021) - [i28]Wei Du, Xintao Wu, Hanghang Tong:
Fair Regression under Sample Selection Bias. CoRR abs/2110.04372 (2021) - [i27]Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He:
Deep Active Learning by Leveraging Training Dynamics. CoRR abs/2110.08611 (2021) - [i26]Bolian Li, Baoyu Jing, Hanghang Tong:
Graph Communal Contrastive Learning. CoRR abs/2110.14863 (2021) - [i25]Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
Backdoor Attack through Frequency Domain. CoRR abs/2111.10991 (2021) - 2020
- [j54]Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong:
Data-Driven Computational Social Science: A Survey. Big Data Res. 21: 100145 (2020) - [j53]Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, Jian Lu:
Enhancing supervised bug localization with metadata and stack-trace. Knowl. Inf. Syst. 62(6): 2461-2484 (2020) - [j52]Yu Wang, Yun Li, Ziye Zhu, Hanghang Tong, Yue Huang:
Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2476-2488 (2020) - [j51]Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Trans. Knowl. Discov. Data 14(4): 38:1-38:26 (2020) - [j50]Zhen Chen, Hanghang Tong, Lei Ying:
Inferring Full Diffusion History from Partial Timestamps. IEEE Trans. Knowl. Data Eng. 32(7): 1378-1392 (2020) - [j49]Yucheng Huang, Lei Shi, Yue Su, Yifan Hu, Hanghang Tong, Chaoli Wang, Tong Yang, Deyun Wang, Shuo Liang:
Eiffel: Evolutionary Flow Map for Influence Graph Visualization. IEEE Trans. Vis. Comput. Graph. 26(10): 2944-2960 (2020) - [j48]Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Chaoli Wang, Chuang Lin, Weihong Qian:
OnionGraph: Hierarchical topology+attribute multivariate network visualization. Vis. Informatics 4(1): 43-57 (2020) - [c167]Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong:
Ranking on Network of Heterogeneous Information Networks. IEEE BigData 2020: 848-857 - [c166]Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong:
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData 2020: 1634-1643 - [c165]Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu:
Bringing Order to Network Embedding: A Relative Ranking based Approach. CIKM 2020: 1585-1594 - [c164]Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He:
A View-Adversarial Framework for Multi-View Network Embedding. CIKM 2020: 2025-2028 - [c163]Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong:
Few-shot Insider Threat Detection. CIKM 2020: 2289-2292 - [c162]Si Zhang, Hanghang Tong:
Network Alignment: Recent Advances and Future Directions. CIKM 2020: 3521-3522 - [c161]Yu Wang, Yun Li, Hanghang Tong, Ziye Zhu:
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction. EMNLP (1) 2020: 6027-6036 - [c160]Haoran Li, Yang Weng, Hanghang Tong:
Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. ICDM 2020: 1088-1093 - [c159]Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang:
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. IJCAI 2020: 3565-3571 - [c158]Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong:
InFoRM: Individual Fairness on Graph Mining. KDD 2020: 379-389 - [c157]Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu:
NetTrans: Neural Cross-Network Transformation. KDD 2020: 986-996 - [c156]Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong:
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering. NeurIPS 2020 - [i24]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Node Immunization with Non-backtracking Eigenvalues. CoRR abs/2002.12309 (2020) - [i23]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining. CoRR abs/2008.07097 (2020) - [i22]Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong:
Data-driven Computational Social Science: A Survey. CoRR abs/2008.12372 (2020) - [i21]Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. CoRR abs/2009.07227 (2020) - [i20]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. CoRR abs/2010.05057 (2020) - [i19]Lihui Liu, Boxin Du, Heng Ji, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. CoRR abs/2011.03189 (2020)
2010 – 2019
- 2019
- [j47]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
A Brief Review of Network Embedding. Big Data Min. Anal. 2(1): 35-47 (2019) - [j46]Chieh-Yang Huang, Hanghang Tong, Jingrui He, Ross Maciejewski:
Location Prediction for Tweets. Frontiers Big Data 2: 5 (2019) - [j45]Si Zhang, Hanghang Tong:
Attributed Network Alignment: Problem Definitions and Fast Solutions. IEEE Trans. Knowl. Data Eng. 31(9): 1680-1692 (2019) - [j44]Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-regularized one-class collaborative filtering with implicit feedback. World Wide Web 22(3): 1099-1129 (2019) - [c155]Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu:
An Integral Tag Recommendation Model for Textual Content. AAAI 2019: 5109-5116 - [c154]Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu:
Hashtag Recommendation for Photo Sharing Services. AAAI 2019: 5805-5812 - [c153]Hairi, Hanghang Tong, Lei Ying:
NetDyna: Mining Networked Coevolving Time Series with Missing Values. IEEE BigData 2019: 503-512 - [c152]Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong:
G-Finder: Approximate Attributed Subgraph Matching. IEEE BigData 2019: 513-522 - [c151]Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski:
ORIGIN: Non-Rigid Network Alignment. IEEE BigData 2019: 998-1007 - [c150]Qinghai Zhou, Liangyue Li, Hanghang Tong:
Towards Real Time Team Optimization. IEEE BigData 2019: 1008-1017 - [c149]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Discerning Edge Influence for Network Embedding. CIKM 2019: 429-438 - [c148]Boxin Du, Hanghang Tong:
MrMine: Multi-resolution Multi-network Embedding. CIKM 2019: 479-488 - [c147]Jian Kang, Hanghang Tong:
N2N: Network Derivative Mining. CIKM 2019: 861-870 - [c146]Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu:
Robust Embedded Deep K-means Clustering. CIKM 2019: 1181-1190 - [c145]Rui Zhang, Hanghang Tong, Yifan Hu:
Adaptive Feature Redundancy Minimization. CIKM 2019: 2417-2420 - [c144]Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
ADMIRING: Adversarial Multi-network Mining. ICDM 2019: 1522-1527 - [c143]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu:
Commit Message Generation for Source Code Changes. IJCAI 2019: 3975-3981 - [c142]Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He:
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. IJCAI 2019: 4078-4084 - [c141]Pei Yang, Qi Tan, Hanghang Tong, Jingrui He:
Task-Adversarial Co-Generative Nets. KDD 2019: 1596-1604 - [c140]Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong:
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. NeurIPS 2019: 3399-3409 - [c139]Rui Zhang, Hanghang Tong:
Robust Principal Component Analysis with Adaptive Neighbors. NeurIPS 2019: 6959-6967 - [c138]Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong:
Spiral of Silence in Recommender Systems. WSDM 2019: 222-230 - [c137]Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad:
Multilevel Network Alignment. WWW 2019: 2344-2354 - [e3]Andrea Tagarelli, Hanghang Tong:
Computational Data and Social Networks - 8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18-20, 2019, Proceedings. Lecture Notes in Computer Science 11917, Springer 2019, ISBN 978-3-030-34979-0 [contents] - [i18]Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang:
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR abs/1905.05861 (2019) - [i17]Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao:
Visual Analytics of Anomalous User Behaviors: A Survey. CoRR abs/1905.06720 (2019) - [i16]Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu:
EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data. CoRR abs/1908.00181 (2019) - [i15]Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong:
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. CoRR abs/1910.12586 (2019) - 2018
- [b1]Yuan Yao, Xing Su, Hanghang Tong:
Mobile Data Mining. Springer Briefs in Computer Science, Springer 2018, ISBN 978-3-030-02100-9, pp. 1-53 - [j43]Yong Wu, Shengqu Xi, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu:
Guiding supervised topic modeling for content based tag recommendation. Neurocomputing 314: 479-489 (2018) - [j42]Yong Wang, Conglei Shi, Liangyue Li, Hanghang Tong, Huamin Qu:
Visualizing Research Impact through Citation Data. ACM Trans. Interact. Intell. Syst. 8(1): 5:1-5:24 (2018) - [j41]Lei Shi, Hanghang Tong, Madelaine Daianu, Feng Tian, Paul M. Thompson:
Visual Analysis of Brain Networks Using Sparse Regression Models. ACM Trans. Knowl. Discov. Data 12(1): 5:1-5:30 (2018) - [c136]Jian Kang, Meijia Wang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong:
AURORA: Auditing PageRank on Large Graphs. IEEE BigData 2018: 713-722 - [c135]Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng (Polo) Chau, Hanghang Tong:
Local Partition in Rich Graphs. IEEE BigData 2018: 1001-1008 - [c134]Zhen Chen, Hanghang Tong, Lei Ying:
Realtime Robustification of Interdependent Networks under Cascading Attacks. IEEE BigData 2018: 1347-1356 - [c133]Liangyue Li, Hanghang Tong, Huan Liu:
Towards Explainable Networked Prediction. CIKM 2018: 1819-1822 - [c132]Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong:
X-Rank: Explainable Ranking in Complex Multi-Layered Networks. CIKM 2018: 1959-1962 - [c131]Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski:
Graph Convolutional Networks: Algorithms, Applications and Open Challenges. CSoNet 2018: 79-91 - [c130]Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Min Li, Feng Xu, Jian Lu:
Bug Localization via Supervised Topic Modeling. ICDM 2018: 607-616 - [c129]Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong:
Network Connectivity Optimization: Fundamental Limits and Effective Algorithms. KDD 2018: 1167-1176 - [c128]Boxin Du, Hanghang Tong:
FASTEN: Fast Sylvester Equation Solver for Graph Mining. KDD 2018: 1339-1347 - [c127]Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu:
Team Expansion in Collaborative Environments. PAKDD (3) 2018: 713-725 - [c126]Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
Extra: explaining team recommendation in networks. RecSys 2018: 492-493 - [c125]Jundong Li, Chen Chen, Hanghang Tong, Huan Liu:
Multi-Layered Network Embedding. SDM 2018: 684-692 - [c124]Liangyue Li, Hanghang Tong:
Network Science of Teams: Characterization, Prediction, and Optimization. WSDM 2018: 783-784 - [c123]Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss:
GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics. WSDM 2018: 803 - [e2]Hanghang Tong, Zhenhui Jessie Li, Feida Zhu, Jeffrey Yu:
2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018. IEEE 2018, ISBN 978-1-5386-9288-2 [contents] - [r3]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Subgraph Extraction for Trust Inference in Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i14]Jian Kang, Hanghang Tong, Yinglong Xia, Wei Fan:
AURORA: Auditing PageRank on Large Graphs. CoRR abs/1803.05068 (2018) - [i13]Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia:
Local Partition in Rich Graphs. CoRR abs/1803.05084 (2018) - [i12]Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
EXTRA: Explaining Team Recommendation in Networks. CoRR abs/1809.08511 (2018) - 2017
- [j40]Jie Tang, Hanghang Tong, Michalis Vazirgiannis:
Special focus on natural language processing and social computing. Sci. China Inf. Sci. 60(11): 110100:1-110100:2 (2017) - [j39]Chen Chen, Hanghang Tong:
On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms. Stat. Anal. Data Min. 10(2): 121-135 (2017) - [j38]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
On the Measurement and Prediction of Web Content Utility: A Review. SIGKDD Explor. 19(2): 1-12 (2017) - [j37]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 3(1): 2 (2017) - [j36]Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He:
Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective. ACM Trans. Knowl. Discov. Data 11(4): 42:1-42:26 (2017) - [j35]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions. IEEE Trans. Knowl. Data Eng. 29(3): 613-626 (2017) - [j34]Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu:
RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem. IEEE Trans. Knowl. Data Eng. 29(6): 1296-1309 (2017) - [j33]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Scalable Algorithms for CQA Post Voting Prediction. IEEE Trans. Knowl. Data Eng. 29(8): 1723-1736 (2017) - [j32]Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong:
Towards Optimal Connectivity on Multi-Layered Networks. IEEE Trans. Knowl. Data Eng. 29(10): 2332-2346 (2017) - [j31]Yuan Yao, Wayne Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu, Jian Lu:
Version-Aware Rating Prediction for Mobile App Recommendation. ACM Trans. Inf. Syst. 35(4): 38:1-38:33 (2017) - [j30]Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, Marie-Francine Moens:
Fast and Flexible Top-k Similarity Search on Large Networks. ACM Trans. Inf. Syst. 36(2): 13:1-13:30 (2017) - [j29]Xinsong Yang, Lei Shi, Madelaine Daianu, Hanghang Tong, Qingsong Liu, Paul M. Thompson:
Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation. IEEE Trans. Vis. Comput. Graph. 23(1): 181-190 (2017) - [c122]Qiao Liu, Chen Chen, Annie Gao, Hanghang Tong, Lei Xie:
VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease. BIBM 2017: 2177-2182 - [c121]Xing Su, Yuan Yao, Qing He, Jie Lu, Hanghang Tong:
Personalized travel mode detection with smartphone sensors. IEEE BigData 2017: 1341-1348 - [c120]Fan Du, Nan Cao, Yu-Ru Lin, Panpan Xu, Hanghang Tong:
iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration. CHI 2017: 2916-2927 - [c119]Chenhao Xie, Lihan Chen, Jiaqing Liang, Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
Automatic Navbox Generation by Interpretable Clustering over Linked Entities. CIKM 2017: 1857-1865 - [c118]Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia:
Rapid Analysis of Network Connectivity. CIKM 2017: 2463-2466 - [c117]Hanghang Tong:
Inside the Atoms: Mining a Network of Networks and Beyond. ICDM Workshops 2017: 983 - [c116]Liangyue Li, Hanghang Tong:
Uncovering Teamwork in Networks - Prediction, Optimization and Explanation. ICDM Workshops 2017: 1132-1133 - [c115]Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
iNEAT: Incomplete Network Alignment. ICDM 2017: 1189-1194 - [c114]Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler:
Is the Whole Greater Than the Sum of Its Parts? KDD 2017: 295-304 - [c113]Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu:
HoORaYs: High-order Optimization of Rating Distance for Recommender Systems. KDD 2017: 525-534 - [c112]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
A Local Algorithm for Structure-Preserving Graph Cut. KDD 2017: 655-664 - [c111]Boxin Du, Si Zhang, Nan Cao, Hanghang Tong:
FIRST: Fast Interactive Attributed Subgraph Matching. KDD 2017: 1447-1456 - [c110]Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He:
User-guided Cross-domain Sentiment Classification. SDM 2017: 471-479 - [c109]Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong:
HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. SDM 2017: 570-578 - [c108]Robert S. Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau:
Visual Graph Query Construction and Refinement. SIGMOD Conference 2017: 1587-1590 - [c107]Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong:
Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. WWW (Companion Volume) 2017: 303-310 - [c106]Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen:
NEMO: Next Career Move Prediction with Contextual Embedding. WWW (Companion Volume) 2017: 505-513 - 2016
- [j28]Jian Pei, Guoliang Li, Hanghang Tong:
Preface. Big Data Res. 5: 1 (2016) - [j27]Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang:
Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC Bioinform. 17: 453:1-453:13 (2016) - [j26]Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He, Luke Zhuang, Patrick Meng, Lei Xie:
Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing. PLoS Comput. Biol. 12(10) (2016) - [j25]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 2(1): 1-2 (2016) - [j24]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued). IEEE Trans. Big Data 2(2): 100 (2016) - [j23]Xing Su, Hernan Caceres, Hanghang Tong, Qing He:
Online Travel Mode Identification Using Smartphones With Battery Saving Considerations. IEEE Trans. Intell. Transp. Syst. 17(10): 2921-2934 (2016) - [j22]Hanghang Tong, Fei Wang, Munmun De Choudhury, Zoran Obradovic:
Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue. ACM Trans. Knowl. Discov. Data 10(4): 37:1-37:4 (2016) - [j21]Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos:
Eigen-Optimization on Large Graphs by Edge Manipulation. ACM Trans. Knowl. Discov. Data 10(4): 49:1-49:30 (2016) - [j20]Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau:
Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. 28(1): 113-126 (2016) - [c105]Robert S. Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau:
VISAGE: Interactive Visual Graph Querying. AVI 2016: 272-279 - [c104]Yong Wu, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu:
Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation. CIKM 2016: 2287-2292 - [c103]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
TEAMOPT: Interactive Team Optimization in Big Networks. CIKM 2016: 2485-2487 - [c102]Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang:
BigNet 2016: First Workshop on Big Network Analytics. CIKM 2016: 2505-2506 - [c101]Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu:
ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era. CIKM 2016: 2509 - [c100]Yuechang Liu, Hanghang Tong, Xie Lei, Yong Tang:
Network based models and path based features for gene prioritization. CSCWD 2016: 129-132 - [c99]Lei Shi, Sibai Sun, Yuan Xuan, Yue Su, Hanghang Tong, Shuai Ma, Yang Chen:
TOPIC: Toward perfect Influence Graph Summarization. ICDE 2016: 1074-1085 - [c98]Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He:
FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks. KDD 2016: 765-774 - [c97]Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong:
QUINT: On Query-Specific Optimal Networks. KDD 2016: 985-994 - [c96]Si Zhang, Hanghang Tong:
FINAL: Fast Attributed Network Alignment. KDD 2016: 1345-1354 - [c95]Liangyue Li, Hanghang Tong, Jie Tang, Wei Fan:
iPath: Forecasting the Pathway to Impact. SDM 2016: 468-476 - [e1]Ravi Kumar, James Caverlee, Hanghang Tong:
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, August 18-21, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-2846-7 [contents] - 2015
- [j19]Leman Akoglu, Hanghang Tong, Danai Koutra:
Graph based anomaly detection and description: a survey. Data Min. Knowl. Discov. 29(3): 626-688 (2015) - [j18]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Detecting high-quality posts in community question answering sites. Inf. Sci. 302: 70-82 (2015) - [j17]Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng:
Robust bilinear factorization with missing and grossly corrupted observations. Inf. Sci. 307: 53-72 (2015) - [j16]Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin:
VEGAS: Visual influEnce GrAph Summarization on Citation Networks. IEEE Trans. Knowl. Data Eng. 27(12): 3417-3431 (2015) - [c94]Deqing Yang, Yanghua Xiao, Hanghang Tong, Wanyun Cui, Wei Wang:
Towards Topic Following in Heterogeneous Information Networks. ASONAM 2015: 363-366 - [c93]Hui Wang, Wanyun Cui, Yanghua Xiao, Hanghang Tong:
Robust network construction against intentional attacks. BigComp 2015: 279-286 - [c92]Zhen Chen, Hanghang Tong, Lei Ying:
Full diffusion history reconstruction in networks. IEEE BigData 2015: 707-716 - [c91]Nan Cao, Yu-Ru Lin, Liangyue Li, Hanghang Tong:
g-Miner: Interactive Visual Group Mining on Multivariate Graphs. CHI 2015: 279-288 - [c90]Deqing Yang, Yanghua Xiao, Hanghang Tong, Junjun Zhang, Wei Wang:
An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling. DASFAA (1) 2015: 353-373 - [c89]Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang:
Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. ICDM 2015: 291-300 - [c88]Lei Shi, Hanghang Tong, Xinzhu Mu:
BrainQuest: Perception-Guided Brain Network Comparison. ICDM 2015: 379-388 - [c87]Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong:
On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control. ICDM 2015: 715-720 - [c86]Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu:
Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison. IJCAI 2015: 3981-3987 - [c85]Robert S. Pienta, Acar Tamersoy, Hanghang Tong, Alex Endert, Duen Horng (Polo) Chau:
Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design. IUI Companion 2015: 61-64 - [c84]Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji, Qing He:
Facets: Fast Comprehensive Mining of Coevolving High-order Time Series. KDD 2015: 79-88 - [c83]Liangyue Li, Hanghang Tong:
The Child is Father of the Man: Foresee the Success at the Early Stage. KDD 2015: 655-664 - [c82]Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang:
Flexible and Robust Multi-Network Clustering. KDD 2015: 835-844 - [c81]Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li:
Panther: Fast Top-k Similarity Search on Large Networks. KDD 2015: 1445-1454 - [c80]Liangyue Li, Hanghang Tong, Yanghua Xiao, Wei Fan:
Cheetah: Fast Graph Kernel Tracking on Dynamic Graphs. SDM 2015: 280-288 - [c79]Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji:
Fast Mining of a Network of Coevolving Time Series. SDM 2015: 298-306 - [c78]Chen Chen, Hanghang Tong:
Fast Eigen-Functions Tracking on Dynamic Graphs. SDM 2015: 559-567 - [c77]Long T. Le, Tina Eliassi-Rad, Hanghang Tong:
MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. SDM 2015: 694-702 - [c76]Yuechang Liu, Hanghang Tong, Lei Xie, Yong Tang:
Supervised Link Prediction Using Random Walks. SMP 2015: 107-118 - [c75]Greg Olmschenk, Christopher Yang, Zhigang Zhu, Hanghang Tong, William H. Seiple:
Mobile Crowd Assisted Navigation for the Visually Impaired. UIC/ATC/ScalCom 2015: 324-327 - [c74]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation. WWW 2015: 636-646 - [i11]Liangyue Li, Hanghang Tong:
The Child is Father of the Man: Foresee the Success at the Early Stage. CoRR abs/1504.00948 (2015) - [i10]Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juan-Zi Li:
Panther: Fast Top-k Similarity Search in Large Networks. CoRR abs/1504.02577 (2015) - [i9]José Fernando Rodrigues Jr., Hanghang Tong, Jia-Yu Pan, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos:
Large Graph Analysis in the GMine System. CoRR abs/1505.07777 (2015) - [i8]José F. Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec:
GMine: A System for Scalable, Interactive Graph Visualization and Mining. CoRR abs/1506.03847 (2015) - 2014
- [j15]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model. IEEE Trans. Knowl. Data Eng. 26(7): 1706-1719 (2014) - [c73]Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Yue Zhao, Chuang Lin:
Hierarchical Focus+Context Heterogeneous Network Visualization. PacificVis 2014: 89-96 - [c72]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Joint voting prediction for questions and answers in CQA. ASONAM 2014: 340-343 - [c71]Robert S. Pienta, Acar Tamersoy, Hanghang Tong, Duen Horng Chau:
MAGE: Matching approximate patterns in richly-attributed graphs. IEEE BigData 2014: 585-590 - [c70]Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-Regularized One-Class Collaborative Filtering. CIKM 2014: 759-768 - [c69]Xing Su, Hanghang Tong, Ping Ji:
Accelerometer-based Activity Recognition on Smartphone. CIKM 2014: 2021-2023 - [c68]Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
WiiCluster: a Platform for Wikipedia Infobox Generation. CIKM 2014: 2033-2035 - [c67]Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin:
Flow-Based Influence Graph Visual Summarization. ICDM 2014: 983-988 - [c66]Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang:
Inside the atoms: ranking on a network of networks. KDD 2014: 1356-1365 - [c65]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Predicting long-term impact of CQA posts: a comprehensive viewpoint. KDD 2014: 1496-1505 - [c64]Hau Chan, Leman Akoglu, Hanghang Tong:
Make It or Break It: Manipulating Robustness in Large Networks. SDM 2014: 325-333 - [c63]Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong:
Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. SDM 2014: 866-874 - [c62]Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez:
1st workshop on diffusion networks and cascade analytics. WSDM 2014: 689-690 - [c61]Jagat Sastry Pudipeddi, Leman Akoglu, Hanghang Tong:
User churn in focused question answering sites: characterizations and prediction. WWW (Companion Volume) 2014: 469-474 - [c60]Hanghang Tong:
Query complex graph patterns: tools and applications. WWW (Companion Volume) 2014: 1195-1196 - [p3]Hanghang Tong:
Big Data Classification. Data Classification: Algorithms and Applications 2014: 275-286 - [r2]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Subgraph Extraction for Trust Inference in Social Networks. Encyclopedia of Social Network Analysis and Mining 2014: 2084-2098 - [i7]Leman Akoglu, Hanghang Tong, Danai Koutra:
Graph-based Anomaly Detection and Description: A Survey. CoRR abs/1404.4679 (2014) - [i6]Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
The Links Have It: Infobox Generation by Summarization over Linked Entities. CoRR abs/1406.6449 (2014) - [i5]Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin:
Flow-based Influence Graph Visual Summarization. CoRR abs/1408.2401 (2014) - [i4]Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng:
Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations. CoRR abs/1409.1062 (2014) - [i3]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation. CoRR abs/1409.5512 (2014) - 2013
- [j14]Yuan Yao, Feng Xu, Yongli Ren, Hanghang Tong, Jian Lü:
SelfTrust: leveraging self-assessment for trust inference in Internetware. Sci. China Inf. Sci. 56(10): 1-14 (2013) - [j13]Fanhua Shang, Licheng Jiao, Yuanyuan Liu, Hanghang Tong:
Semi-supervised learning with nuclear norm regularization. Pattern Recognit. 46(8): 2323-2336 (2013) - [j12]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Pairwise trust inference by subgraph extraction. Soc. Netw. Anal. Min. 3(4): 953-968 (2013) - [j11]José Fernando Rodrigues Jr., Hanghang Tong, Jia-Yu Pan, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos:
Large Graph Analysis in the GMine System. IEEE Trans. Knowl. Data Eng. 25(1): 106-118 (2013) - [c59]Danai Koutra, Hanghang Tong, David M. Lubensky:
BIG-ALIGN: Fast Bipartite Graph Alignment. ICDM 2013: 389-398 - [c58]Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau:
Demonstrating Interactive Multi-resolution Large Graph Exploration. ICDM Workshops 2013: 1097-1100 - [c57]Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken:
Mining Connection Pathways for Marked Nodes in Large Graphs. SDM 2013: 37-45 - [c56]Lada A. Adamic, Christos Faloutsos, Theodore J. Iwashyna, B. Aditya Prakash, Hanghang Tong:
Fractional Immunization in Networks. SDM 2013: 659-667 - [c55]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
MATRI: a multi-aspect and transitive trust inference model. WWW 2013: 1467-1476 - [p2]Hanghang Tong, U Kang:
Big Data Clustering. Data Clustering: Algorithms and Applications 2013: 259-276 - [i2]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Want a Good Answer? Ask a Good Question First! CoRR abs/1311.6876 (2013) - 2012
- [j10]Fei Wang, Hanghang Tong, Philip S. Yu, Charu C. Aggarwal:
Guest editorial: special issue on data mining technologies for computational social science. Data Min. Knowl. Discov. 25(3): 415-419 (2012) - [j9]Jingrui He, Hanghang Tong, Jaime G. Carbonell:
An effective framework for characterizing rare categories. Frontiers Comput. Sci. 6(2): 154-165 (2012) - [j8]Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad:
Gateway finder in large graphs: problem definitions and fast solutions. Inf. Retr. 15(3-4): 391-411 (2012) - [j7]Ching-Yung Lin, Lynn Wu, Zhen Wen, Hanghang Tong, Vicky Griffiths-Fisher, Lei Shi, David M. Lubensky:
Social Network Analysis in Enterprise. Proc. IEEE 100(9): 2759-2776 (2012) - [j6]Hanghang Tong, Ching-Yung Lin:
Non-negative residual matrix factorization: problem definition, fast solutions, and applications. Stat. Anal. Data Min. 5(1): 3-15 (2012) - [j5]U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos:
gbase: an efficient analysis platform for large graphs. VLDB J. 21(5): 637-650 (2012) - [c54]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Subgraph Extraction for Trust Inference in Social Networks. ASONAM 2012: 163-170 - [c53]Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos:
Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. ASONAM 2012: 696-698 - [c52]Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos:
Gelling, and melting, large graphs by edge manipulation. CIKM 2012: 245-254 - [c51]Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos:
Fast and reliable anomaly detection in categorical data. CIKM 2012: 415-424 - [c50]Haibing Lu, Yuan Hong, W. Nick Street, Fei Wang, Hanghang Tong:
Overlapping Clustering with Sparseness Constraints. ICDM Workshops 2012: 486-494 - [c49]Parikshit Sondhi, Jimeng Sun, Hanghang Tong, ChengXiang Zhai:
SympGraph: a framework for mining clinical notes through symptom relation graphs. KDD 2012: 1167-1175 - [c48]Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li:
RolX: structural role extraction & mining in large graphs. KDD 2012: 1231-1239 - [c47]Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos:
TourViz: interactive visualization of connection pathways in large graphs. KDD 2012: 1516-1519 - [c46]Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw K. Szymanski:
GenDeR: A Generic Diversified Ranking Algorithm. NIPS 2012: 1151-1159 - [c45]Deqing Yang, Yanghua Xiao, Bo Xu, Hanghang Tong, Wei Wang, Sheng Huang:
Which Topic Will You Follow? ECML/PKDD (2) 2012: 597-612 - [c44]Leman Akoglu, Hanghang Tong, Brendan Meeder, Christos Faloutsos:
PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs. SDM 2012: 439-450 - [c43]U Kang, Hanghang Tong, Jimeng Sun:
Fast Random Walk Graph Kernel. SDM 2012: 828-838 - [i1]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
MaTrust: An Effective Multi-Aspect Trust Inference Model. CoRR abs/1211.2041 (2012) - 2011
- [c42]Fei Wang, Hanghang Tong, Ching-Yung Lin:
Towards Evolutionary Nonnegative Matrix Factorization. AAAI 2011: 501-506 - [c41]Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos:
It's who you know: graph mining using recursive structural features. KDD 2011: 663-671 - [c40]Hanghang Tong, Jingrui He, Zhen Wen, Ravi B. Konuru, Ching-Yung Lin:
Diversified ranking on large graphs: an optimization viewpoint. KDD 2011: 1028-1036 - [c39]U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos:
GBASE: a scalable and general graph management system. KDD 2011: 1091-1099 - [c38]Nicholas Valler, B. Aditya Prakash, Hanghang Tong, Michalis Faloutsos, Christos Faloutsos:
Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point. Networking (1) 2011: 266-280 - [c37]U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong:
Centralities in Large Networks: Algorithms and Observations. SDM 2011: 119-130 - [c36]Hanghang Tong, Ching-Yung Lin:
Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection. SDM 2011: 143-153 - [c35]Didi Surian, Nian Liu, David Lo, Hanghang Tong, Ee-Peng Lim, Christos Faloutsos:
Recommending People in Developers' Collaboration Network. WCRE 2011: 379-388 - [c34]Dashun Wang, Zhen Wen, Hanghang Tong, Ching-Yung Lin, Chaoming Song, Albert-László Barabási:
Information spreading in context. WWW 2011: 735-744 - 2010
- [c33]Jingrui He, Hanghang Tong, Jaime G. Carbonell:
Rare Category Characterization. ICDM 2010: 226-235 - [c32]Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau:
On the Vulnerability of Large Graphs. ICDM 2010: 1091-1096 - [c31]Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong:
Metric forensics: a multi-level approach for mining volatile graphs. KDD 2010: 163-172 - [c30]Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad:
BASSET: Scalable Gateway Finder in Large Graphs. PAKDD (2) 2010: 449-463 - [c29]B. Aditya Prakash, Hanghang Tong, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos:
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms. ECML/PKDD (3) 2010: 99-114 - [p1]Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos:
Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions. Link Mining 2010: 211-236
2000 – 2009
- 2009
- [c28]Hanghang Tong, Huiming Qu, Hani Jamjoom, Christos Faloutsos:
iPoG: fast interactive proximity querying on graphs. CIKM 2009: 1673-1676 - [c27]Kensuke Onuma, Hanghang Tong, Christos Faloutsos:
TANGENT: a novel, 'Surprise me', recommendation algorithm. KDD 2009: 657-666 - [r1]Hanghang Tong, Yehuda Koren, Christos Faloutsos:
Direction-Aware Proximity on Graphs. Encyclopedia of Data Warehousing and Mining 2009: 646-653 - 2008
- [j4]Hanghang Tong, Christos Faloutsos, Jia-Yu Pan:
Random walk with restart: fast solutions and applications. Knowl. Inf. Syst. 14(3): 327-346 (2008) - [j3]Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos:
Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs. Stat. Anal. Data Min. 1(3): 142-156 (2008) - [c26]Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, Christos Faloutsos:
Fast mining of complex time-stamped events. CIKM 2008: 759-768 - [c25]Hanghang Tong, Huiming Qu, Hani Jamjoom:
Measuring Proximity on Graphs with Side Information. ICDM 2008: 598-607 - [c24]Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad:
GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops 2008: 963-966 - [c23]Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos:
Using ghost edges for classification in sparsely labeled networks. KDD 2008: 256-264 - [c22]Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos:
Colibri: fast mining of large static and dynamic graphs. KDD 2008: 686-694 - [c21]Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos:
Proximity Tracking on Time-Evolving Bipartite Graphs. SDM 2008: 704-715 - 2007
- [c20]Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad:
Fast best-effort pattern matching in large attributed graphs. KDD 2007: 737-746 - [c19]Hanghang Tong, Christos Faloutsos, Yehuda Koren:
Fast direction-aware proximity for graph mining. KDD 2007: 747-756 - 2006
- [j2]Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang:
Manifold-Ranking-Based Keyword Propagation for Image Retrieval. EURASIP J. Adv. Signal Process. 2006 (2006) - [j1]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Generalized Manifold-Ranking-Based Image Retrieval. IEEE Trans. Image Process. 15(10): 3170-3177 (2006) - [c18]Hanghang Tong, Christos Faloutsos, Jia-Yu Pan:
Fast Random Walk with Restart and Its Applications. ICDM 2006: 613-622 - [c17]Hanghang Tong, Christos Faloutsos:
Center-piece subgraphs: problem definition and fast solutions. KDD 2006: 404-413 - [c16]José Fernando Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec:
GMine: A System for Scalable, Interactive Graph Visualization and Mining. VLDB 2006: 1195-1198 - 2005
- [c15]Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang:
A Unified Optimization Based Learning Method for Image Retrieval. CVPR (2) 2005: 230-235 - [c14]Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong:
Boosting Web Image Search by Co-Ranking. ICASSP (2) 2005: 409-412 - [c13]Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen:
Internet Traffic Prediction by W-Boost: Classification and Regression. ISNN (3) 2005: 397-402 - [c12]Hanghang Tong, Chongrong Li, Jingrui He, Jiajian Chen, Quang-Anh Tran, Hai-Xin Duan, Xing Li:
Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier. ISNN (3) 2005: 476-481 - [c11]Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying Ma, Changshui Zhang:
Multiple random walk and its application in content-based image retrieval. Multimedia Information Retrieval 2005: 151-158 - [c10]Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma:
Graph based multi-modality learning. ACM Multimedia 2005: 862-871 - [c9]Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma:
Learning No-Reference Quality Metric by Examples. MMM 2005: 247-254 - 2004
- [c8]Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang:
No-reference quality assessment for JPEG2000 compressed images. ICIP 2004: 3539-3542 - [c7]Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang:
Blur detection for digital images using wavelet transform. ICME 2004: 17-20 - [c6]Hanghang Tong, Chongrong Li, Jingrui He:
A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction. ISNN (2) 2004: 931-936 - [c5]Jingrui He, Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang:
Mean version space: a new active learning method for content-based image retrieval. Multimedia Information Retrieval 2004: 15-22 - [c4]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Manifold-ranking based image retrieval. ACM Multimedia 2004: 9-16 - [c3]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Automatic Peak Number Detection in Image Symmetry Analysis. PCM (3) 2004: 111-118 - [c2]Hanghang Tong, Mingjing Li, HongJiang Zhang, Jingrui He, Changshui Zhang:
Classification of Digital Photos Taken by Photographers or Home Users. PCM (1) 2004: 198-205 - [c1]Jingrui He, Mingjing Li, Zhiwei Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval. PCM (2) 2004: 213-220
Coauthor Index
[j89] [c261] [c260] [c258] [c255] [c253] [c252] [i99] [i98] [i97] [i88] [j82] [c227] [i80] [i73] [i71] [j71] [c218] [c210] [c200] [c198] [i57] [i47] [i43] [j60] [i27] [c166] [c164] [c158] [j46] [c142] [c141] [i17] [c123] [j32] [c112] [c110] [c109] [c87] [j9] [c46] [c40] [c33] [j2] [j1] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c6] [c5] [c4] [c3] [c2] [c1]
[j76] [j75] [c228] [i68] [j67] [c209] [c206] [c203] [c197] [c194] [i56] [c173] [i25] [j53] [c165] [c156] [j47] [j44] [c155] [c154] [c149] [c143] [b1] [j43] [c130] [c127] [r3] [j38] [j34] [j33] [j31] [c121] [c113] [j26] [c104] [c97] [j18] [c86] [j15] [c72] [c70] [c65] [r2] [j14] [j12] [c55] [i2] [c54] [i1]
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