default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDejing Dou
Person information
- affiliation: University of Oregon, Eugene, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j73]Miaoyu Li, Ying Fu
, Tao Zhang, Ji Liu, Dejing Dou, Chenggang Yan, Yulun Zhang:
Latent Diffusion Enhanced Rectangle Transformer for Hyperspectral Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 549-564 (2025)- 2024
- [j72]Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou:
On mask-based image set desensitization with recognition support. Appl. Intell. 54(11-12): 886-898 (2024) - [j71]Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou:
Efficient asynchronous federated learning with sparsification and quantization. Concurr. Comput. Pract. Exp. 36(9) (2024) - [j70]Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin:
A Simple yet Effective Framework for Active Learning to Rank. Mach. Intell. Res. 21(1): 169-183 (2024) - [j69]Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou:
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. Neurocomputing 574: 127219 (2024) - [j68]Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou:
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning. Knowl. Inf. Syst. 66(8): 4377-4403 (2024) - [j67]Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou:
Towards accurate knowledge transfer via target-awareness representation disentanglement. Mach. Learn. 113(2): 699-723 (2024) - [j66]Haoyi Xiong, Xuhong Li, Boyang Yu, Dongrui Wu, Zhanxing Zhu, Dejing Dou:
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer. Mach. Learn. Sci. Technol. 5(1): 15039 (2024) - [j65]Quanming Yao, Zhenqian Shen, Yaqing Wang, Dejing Dou:
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5413-5429 (2024) - [j64]Weibin Liao, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong:
MTPret: Improving X-Ray Image Analytics With Multitask Pretraining. IEEE Trans. Artif. Intell. 5(9): 4799-4812 (2024) - [j63]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network. IEEE Trans. Knowl. Data Eng. 36(5): 1991-2008 (2024) - [j62]Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou:
Temporal Output Discrepancy for Loss Estimation-Based Active Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2109-2123 (2024) - [j61]Jiang Bian, Xuhong Li, Tao Wang, Qingzhong Wang, Jun Huang, Chen Liu, Jun Zhao, Feixiang Lu, Dejing Dou, Haoyi Xiong:
P2ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 118:1-118:23 (2024) - [c172]Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. AAAI 2024: 13900-13908 - [c171]Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou:
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). AAAI 2024: 22705 - [c170]Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou:
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. EMNLP 2024: 10497-10523 - [c169]Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM 2024: 833-841 - [i109]Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou:
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. CoRR abs/2401.00272 (2024) - [i108]Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou:
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning. CoRR abs/2403.19178 (2024) - [i107]Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data. CoRR abs/2408.05678 (2024) - [i106]Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou:
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. CoRR abs/2410.00131 (2024) - [i105]Chunlu Chen, Ji Liu, Haowen Tan, Xingjian Li, Kevin I-Kai Wang, Peng Li, Kouichi Sakurai, Dejing Dou:
Trustworthy Federated Learning: Privacy, Security, and Beyond. CoRR abs/2411.01583 (2024) - 2023
- [j60]Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou:
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors. Artif. Intell. 314: 103823 (2023) - [j59]Can (sam) Chen, Jingbo Zhou, Fan Wang, Xue (Steve) Liu, Dejing Dou:
Structure-aware protein self-supervised learning. Bioinform. 39(4) (2023) - [j58]Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou:
Distributed and deep vertical federated learning with big data. Concurr. Comput. Pract. Exp. 35(21) (2023) - [j57]Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu:
Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. 35(26) (2023) - [j56]Ji Liu, Zhihua Wu, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dianhai Yu, Yanjun Ma, Feng Zhao, Dejing Dou:
HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments. Future Gener. Comput. Syst. 148: 106-117 (2023) - [j55]Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou:
Cross-model consensus of explanations and beyond for image classification models: an empirical study. Mach. Learn. 112(5): 1627-1662 (2023) - [j54]Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou:
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models. Mach. Learn. 112(6): 2193-2209 (2023) - [j53]Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu:
Semi-supervised transfer learning with hierarchical self-regularization. Pattern Recognit. 144: 109831 (2023) - [j52]Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou:
Data Placement for Multi-Tenant Data Federation on the Cloud. IEEE Trans. Cloud Comput. 11(2): 1414-1429 (2023) - [j51]Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin:
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. IEEE Trans. Knowl. Data Eng. 35(12): 12542-12555 (2023) - [j50]Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, Dejing Dou:
$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing. IEEE Trans. Mob. Comput. 22(9): 5017-5034 (2023) - [j49]Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong:
Beyond Intuition: Rethinking Token Attributions inside Transformers. Trans. Mach. Learn. Res. 2023 (2023) - [j48]Xingjian Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou:
SMILE: Sample-to-feature Mixup for Efficient Transfer Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j47]Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan:
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios. Trans. Mach. Learn. Res. 2023 (2023) - [j46]Fei Wu, Qingzhong Wang, Jiang Bian, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou, Haoyi Xiong:
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications. IEEE Trans. Multim. 25: 7943-7966 (2023) - [j45]Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(2): 535-551 (2023) - [j44]Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong:
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation. IEEE Trans. Serv. Comput. 16(5): 3361-3372 (2023) - [c168]Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou:
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. AAAI 2023: 8041-8049 - [c167]Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou:
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach. IEEE Big Data 2023: 27-36 - [c166]Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou:
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CVPR 2023: 5805-5814 - [c165]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. EMNLP 2023: 7871-7888 - [c164]Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Cheng-Zhong Xu, Dejing Dou:
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. ICASSP 2023: 1-5 - [c163]Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong:
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. ICDE 2023: 736-748 - [c162]Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou:
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. ICDE 2023: 1611-1624 - [c161]Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou:
Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. ICDE 2023: 3928-3941 - [c160]Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong:
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples. ICDM 2023: 309-318 - [c159]Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan:
Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML 2023: 4241-4268 - [c158]Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong:
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks. ISBI 2023: 1-5 - [c157]Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou:
Matching Point of Interests and Travel Blog with Multi-view Information Fusion. SIGIR 2023: 2149-2153 - [c156]Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao:
ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW 2023: 1021-1031 - [e4]Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal:
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. IEEE 2023, ISBN 979-8-3503-2445-7 [contents] - [i104]Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou:
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. CoRR abs/2301.02068 (2023) - [i103]Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Jingbo Zhou, Dejing Dou, Hui Xiong:
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach. CoRR abs/2301.02071 (2023) - [i102]Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou:
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. CoRR abs/2301.03028 (2023) - [i101]Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong:
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks. CoRR abs/2302.12688 (2023) - [i100]Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou:
Distributed and Deep Vertical Federated Learning with Big Data. CoRR abs/2303.04574 (2023) - [i99]Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou:
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability. CoRR abs/2304.00320 (2023) - [i98]Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou:
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CoRR abs/2304.00844 (2023) - [i97]Wenke Xia, Xingjian Li, Andong Deng, Haoyi Xiong, Dejing Dou, Di Hu:
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos. CoRR abs/2304.07775 (2023) - [i96]Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao:
ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR abs/2306.03387 (2023) - [i95]Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou:
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts. CoRR abs/2310.02000 (2023) - [i94]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. CoRR abs/2310.15080 (2023) - [i93]Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update. CoRR abs/2312.05770 (2023) - [i92]Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou:
On Mask-based Image Set Desensitization with Recognition Support. CoRR abs/2312.08975 (2023) - [i91]Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR abs/2312.10935 (2023) - [i90]Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou:
Efficient Asynchronous Federated Learning with Sparsification and Quantization. CoRR abs/2312.15186 (2023) - 2022
- [j43]Jiang Bian, Abdullah Al Arafat, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Jun Wang, Dejing Dou, Zhishan Guo:
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. IEEE Internet Things J. 9(11): 8364-8386 (2022) - [j42]Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Daqing Zhang, Laura E. Barnes, Dejing Dou:
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet Things J. 9(17): 15413-15434 (2022) - [j41]Jie Zhang, Yang Li, Haoyi Xiong, Dejing Dou, Chunyan Miao, Daqing Zhang:
HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices. IEEE Internet Things J. 9(19): 19529-19544 (2022) - [j40]Shahid Hussain, Pamela Hussey, Dejing Dou:
Preface: COVID 19: From Misinformation to Knowledge Discovery. J. Inf. Knowl. Manag. 21(Supplement-1): 2202001:1-2202001:2 (2022) - [j39]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou:
InterpretDL: Explaining Deep Models in PaddlePaddle. J. Mach. Learn. Res. 23: 197:1-197:6 (2022) - [j38]Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou:
From distributed machine learning to federated learning: a survey. Knowl. Inf. Syst. 64(4): 885-917 (2022) - [j37]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou:
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. Knowl. Inf. Syst. 64(12): 3197-3234 (2022) - [j36]Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu:
Exploring the common principal subspace of deep features in neural networks. Mach. Learn. 111(3): 1125-1157 (2022) - [j35]Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou:
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. Neural Process. Lett. 54(6): 4735-4749 (2022) - [j34]Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou:
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. ACM Trans. Knowl. Discov. Data 16(3): 42:1-42:20 (2022) - [j33]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou:
Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data 16(3): 50:1-50:29 (2022) - [j32]Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong:
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. ACM Trans. Knowl. Discov. Data 16(5): 98:1-98:24 (2022) - [c155]Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong:
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. AAAI 2022: 4541-4549 - [c154]Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Device Scheduling with Multi-Job Federated Learning. AAAI 2022: 9971-9979 - [c153]Qiuhao Lu, Dejing Dou, Thien Huu Nguyen:
ClinicalT5: A Generative Language Model for Clinical Text. EMNLP (Findings) 2022: 5436-5443 - [c152]Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Jingbo Zhou, Dejing Dou, Hui Xiong:
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach. EMNLP 2022: 8199-8210 - [c151]Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou:
Simplified Graph Learning for Inductive Short Text Classification. EMNLP 2022: 10717-10724 - [c150]Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou:
Parameter-Free Style Projection for Arbitrary Image Style Transfer. ICASSP 2022: 2070-2074 - [c149]Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou:
Federated Fingerprint Learning with Heterogeneous Architectures. ICDM 2022: 31-40 - [c148]Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou:
Accelerated Federated Learning with Decoupled Adaptive Optimization. ICML 2022: 10298-10322 - [c147]Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou:
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. ICPP 2022: 8:1-8:11 - [c146]Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. IJCAI 2022: 2776-2782 - [c145]Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Dejing Dou:
Time-aware Neural Trip Planning Reinforced by Human Mobility. IJCNN 2022: 1-8 - [c144]Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong:
Learning Moving-Object Tracking with FMCW LiDAR. IROS 2022: 3747-3753 - [c143]Zhikai Wang, Wenfei Hu, Jingbo Zhou, Wenyuan Zhang, Ruitao Wang, Jian Zhang, Dejing Dou, Zuochang Ye, Yan Wang:
Building Post-layout Performance Model of Analog/RF Circuits by Fine-tuning Technique. ISQED 2022: 1-6 - [c142]Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou:
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts. MICCAI (8) 2022: 151-161 - [c141]Yaqing Wang, Xin Tian, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou:
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning. NAACL-HLT (Findings) 2022: 1078-1084 - [c140]Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou:
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. NeurIPS 2022 - [c139]Yifan Zhang, Haiyan Jiang, Haojie Ren, Changliang Zou, Dejing Dou:
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control. NeurIPS 2022 - [c138]Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen:
Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs. ECML/PKDD (6) 2022: 302-317 - [c137]Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou:
Recognizing Medical Search Query Intent by Few-shot Learning. SIGIR 2022: 502-512 - [c136]Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong:
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users. SIGIR 2022: 1174-1184 - [i89]Qiuhao Lu, Thien Huu Nguyen, Dejing Dou:
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. CoRR abs/2201.02510 (2022) - [i88]Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong:
Learning Moving-Object Tracking with FMCW LiDAR. CoRR abs/2203.00959 (2022) - [i87]Andong Deng, Xingjian Li, Zhibing Li, Di Hu, Chengzhong Xu, Dejing Dou:
Inadequately Pre-trained Models are Better Feature Extractors. CoRR abs/2203.04668 (2022) - [i86]Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan:
A Comparative Survey of Deep Active Learning. CoRR abs/2203.13450 (2022) - [i85]Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou:
Structure-aware Protein Self-supervised Learning. CoRR abs/2204.04213 (2022) - [i84]Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. CoRR abs/2204.11536 (2022) - [i83]Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou:
Practical Strategies of Active Learning to Rank for Web Search. CoRR abs/2205.10137 (2022) - [i82]Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu:
Deep Active Learning with Noise Stability. CoRR abs/2205.13340 (2022) - [i81]Xiao Zhang, Dejing Dou, Ji Wu:
Feature Forgetting in Continual Representation Learning. CoRR abs/2205.13359 (2022) - [i80]Fei Wu, Qingzhong Wang, Jiang Bian, Haoyi Xiong, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou:
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications. CoRR abs/2206.01038 (2022) - [i79]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Fine-tuning Pre-trained Language Models with Noise Stability Regularization. CoRR abs/2206.05658 (2022) - [i78]Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou:
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. CoRR abs/2206.10546 (2022) - [i77]Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan:
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios. CoRR abs/2207.01190 (2022) - [i76]Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou:
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models. CoRR abs/2207.03335 (2022) - [i75]Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu:
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR abs/2207.06667 (2022) - [i74]Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou:
Accelerated Federated Learning with Decoupled Adaptive Optimization. CoRR abs/2207.07223 (2022) - [i73]Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou:
P2A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. CoRR abs/2207.12730 (2022) - [i72]Jingbo Zhou, Xinjiang Lu, Yixiong Xiao, Jiantao Su, Junfu Lyu, Yanjun Ma, Dejing Dou:
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022. CoRR abs/2208.04360 (2022) - [i71]Qiuhao Lu, Dejing Dou, Thien Huu Nguyen:
Textual Data Augmentation for Patient Outcomes Prediction. CoRR abs/2211.06778 (2022) - [i70]Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning. CoRR abs/2211.13430 (2022) - [i69]Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong:
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. CoRR abs/2211.14633 (2022) - [i68]Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou:
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features. CoRR abs/2212.09321 (2022) - [i67]Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou:
Temporal Output Discrepancy for Loss Estimation-based Active Learning. CoRR abs/2212.10613 (2022) - 2021
- [j31]Xingjian Li, Dou Goodman, Ji Liu, Tao Wei, Dejing Dou:
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. Frontiers Artif. Intell. 4: 752831 (2021) - [j30]Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu:
SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing. IEEE Internet Things J. 8(22): 16666-16679 (2021) - [j29]Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou:
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow. Mach. Learn. 110(8): 2131-2150 (2021) - [j28]Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li:
An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness. SN Comput. Sci. 2(1): 32 (2021) - [j27]Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou:
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation. ACM Trans. Intell. Syst. Technol. 12(5): 63:1-63:19 (2021) - [j26]Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou:
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. ACM Trans. Knowl. Discov. Data 15(2): 21:1-21:21 (2021) - [j25]Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou:
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut. IEEE Trans. Multim. 23: 1722-1730 (2021) - [c135]Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong:
Community-Aware Multi-Task Transportation Demand Prediction. AAAI 2021: 320-327 - [c134]Dong Wang, Di Hu, Xingjian Li, Dejing Dou:
Temporal Relational Modeling with Self-Supervision for Action Segmentation. AAAI 2021: 2729-2737 - [c133]Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou:
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. AAAI 2021: 4081-4089 - [c132]Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong:
Out-of-Town Recommendation with Travel Intention Modeling. AAAI 2021: 4529-4536 - [c131]Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou:
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. AAAI 2021: 4892-4900 - [c130]Qiuhao Lu, Dejing Dou, Thien Huu Nguyen:
Textual Data Augmentation for Patient Outcomes Prediction. BIBM 2021: 2817-2821 - [c129]Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou:
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge. CIKM 2021: 4352-4361 - [c128]NhatHai Phan, David Kil, Brigitte Piniewski, Dejing Dou:
Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network. CSoNet 2021: 184-196 - [c127]Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo:
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows. CVPR 2021: 862-871 - [c126]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CVPR 2021: 6923-6932 - [c125]Nisansa de Silva, Dejing Dou:
Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks. EACL 2021: 405-415 - [c124]Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou:
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. EMNLP (1) 2021: 3091-3101 - [c123]Qiuhao Lu, Dejing Dou, Thien Huu Nguyen:
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models. EMNLP (Findings) 2021: 3855-3865 - [c122]Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan:
Adversarial Attack against Cross-lingual Knowledge Graph Alignment. EMNLP (1) 2021: 5320-5337 - [c121]Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou:
Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops 2021: 116-128 - [c120]Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou:
Semi-Supervised Active Learning with Temporal Output Discrepancy. ICCV 2021: 3427-3436 - [c119]Ji Liu, Haoyi Xiong, Xiakai Wang, Jizhou Huang, Qiaojun Li, Tongtong Huang, Siyu Huang, Haifeng Wang, Dejing Dou:
An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China. ICDH 2021: 234-243 - [c118]Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou:
Integrated Defense for Resilient Graph Matching. ICML 2021: 8982-8997 - [c117]Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan:
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. ICML 2021: 12719-12735 - [c116]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. KDD 2021: 975-985 - [c115]Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong:
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. KDD 2021: 3289-3298 - [c114]Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong:
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. KDD 2021: 3937-3947 - [c113]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Noise Stability Regularization for Improving BERT Fine-tuning. NAACL-HLT 2021: 3229-3241 - [c112]Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, Dejing Dou:
Generalized DataWeighting via Class-Level Gradient Manipulation. NeurIPS 2021: 14097-14109 - [c111]Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou:
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. NeurIPS 2021: 17441-17454 - [c110]Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou:
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. NeurIPS 2021: 30196-30210 - [c109]Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu:
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. SDM 2021: 342-350 - [c108]Qiuhao Lu, Thien Huu Nguyen, Dejing Dou:
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. SIGIR 2021: 1990-1994 - [c107]Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong:
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. WWW 2021: 1856-1867 - [i66]Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong:
Out-of-Town Recommendation with Travel Intention Modeling. CoRR abs/2101.12555 (2021) - [i65]Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong:
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. CoRR abs/2102.07359 (2021) - [i64]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CoRR abs/2103.02193 (2021) - [i63]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou:
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR abs/2103.10689 (2021) - [i62]Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou:
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning. CoRR abs/2103.13941 (2021) - [i61]Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo:
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows. CoRR abs/2103.16877 (2021) - [i60]Gong Zhang, Yang Zhou, Sixing Wu, Zeru Zhang, Dejing Dou:
Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation. CoRR abs/2104.07837 (2021) - [i59]Yihang Yin, Siyu Huang, Xiang Zhang, Dejing Dou:
BM-NAS: Bilevel Multimodal Neural Architecture Search. CoRR abs/2104.09379 (2021) - [i58]Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou:
From Distributed Machine Learning to Federated Learning: A Survey. CoRR abs/2104.14362 (2021) - [i57]Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong:
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. CoRR abs/2106.01674 (2021) - [i56]Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou:
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples. CoRR abs/2106.10653 (2021) - [i55]Haiyan Jiang, Shuyu Li, Luwei Zhang, Haoyi Xiong, Dejing Dou:
Robust Matrix Factorization with Grouping Effect. CoRR abs/2106.13681 (2021) - [i54]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Noise Stability Regularization for Improving BERT Fine-tuning. CoRR abs/2107.04835 (2021) - [i53]Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong:
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. CoRR abs/2107.05180 (2021) - [i52]Yaqing Wang, Abulikemu Abuduweili, Dejing Dou:
Property-aware Adaptive Relation Networks for Molecular Property Prediction. CoRR abs/2107.07994 (2021) - [i51]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. CoRR abs/2107.10670 (2021) - [i50]Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou:
Semi-Supervised Active Learning with Temporal Output Discrepancy. CoRR abs/2107.14153 (2021) - [i49]Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou:
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study. CoRR abs/2109.00707 (2021) - [i48]Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong:
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. CoRR abs/2109.11730 (2021) - [i47]Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou:
Exploring the Common Principal Subspace of Deep Features in Neural Networks. CoRR abs/2110.02863 (2021) - [i46]Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou:
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow. CoRR abs/2110.03273 (2021) - [i45]Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu:
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing. CoRR abs/2110.12377 (2021) - [i44]Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou:
Generalized Data Weighting via Class-level Gradient Manipulation. CoRR abs/2111.00056 (2021) - [i43]Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou:
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. CoRR abs/2111.00180 (2021) - [i42]Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou:
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments. CoRR abs/2111.10635 (2021) - [i41]Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Device Scheduling with Multi-Job Federated Learning. CoRR abs/2112.05928 (2021) - [i40]Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou:
Data Placement for Multi-Tenant Data Federation on the Cloud. CoRR abs/2112.07980 (2021) - 2020
- [j24]Sabin Kafle, Nisansa de Silva, Dejing Dou:
An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering. Inf. Syst. Frontiers 22(5): 1095-1111 (2020) - [c106]Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency. AAAI 2020: 9098-9105 - [c105]Amir Pouran Ben Veyseh, Franck Dernoncourt, My Tra Thai, Dejing Dou, Thien Huu Nguyen:
Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction. AAAI 2020: 9106-9113 - [c104]Xiao Zhang, Dejing Dou, Ji Wu:
Learning Conceptual-Contextual Embeddings for Medical Text. AAAI 2020: 9579-9586 - [c103]Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
Exploiting the Syntax-Model Consistency for Neural Relation Extraction. ACL 2020: 8021-8032 - [c102]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan:
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. IEEE BigData 2020: 868-877 - [c101]Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou:
Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud. IEEE BigData 2020: 1954-1963 - [c100]Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang:
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China. IEEE BigData 2020: 3204-3211 - [c99]Qingzhong Wang, Jiuniu Wang, Antoni B. Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, Dejing Dou:
Neighbours Matter: Image Captioning with Similar Images. BMVC 2020 - [c98]Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li:
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization. COLING 2020: 545-555 - [c97]Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou:
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. ECCV (24) 2020: 68-84 - [c96]Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen:
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation. EMNLP (Findings) 2020: 4543-4548 - [c95]Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning. EMNLP (1) 2020: 8947-8956 - [c94]Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang:
Rethinking Local Community Detection: Query Nodes Replacement. ICDM 2020: 930-935 - [c93]Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee:
Robust Meta Network Embedding against Adversarial Attacks. ICDM 2020: 1448-1453 - [c92]Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu:
Pay Attention to Features, Transfer Learn Faster CNNs. ICLR 2020 - [c91]Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou:
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. ICML 2020: 6010-6019 - [c90]NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou:
Scalable Differential Privacy with Certified Robustness in Adversarial Learning. ICML 2020: 7683-7694 - [c89]Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou:
Generating Person Images with Appearance-aware Pose Stylizer. IJCAI 2020: 623-629 - [c88]Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou:
Ontology-based Interpretable Machine Learning for Textual Data. IJCNN 2020: 1-10 - [c87]Di Hu, Rui Qian, Minyue Jiang, Xiao Tan, Shilei Wen, Errui Ding, Weiyao Lin, Dejing Dou:
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching. NeurIPS 2020 - [c86]Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou:
Adversarial Attacks on Deep Graph Matching. NeurIPS 2020 - [e3]M. Arif Wani, Feng Luo, Xiaolin Andy Li, Dejing Dou, Francesco Bonchi:
19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020. IEEE 2020, ISBN 978-1-7281-8470-8 [contents] - [i39]Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou:
Curriculum Audiovisual Learning. CoRR abs/2001.09414 (2020) - [i38]Xien Liu, Song Wang, Xiao Zhang, Xinxin You, Ji Wu, Dejing Dou:
Label-guided Learning for Text Classification. CoRR abs/2002.10772 (2020) - [i37]Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou:
Parameter-Free Style Projection for Arbitrary Style Transfer. CoRR abs/2003.07694 (2020) - [i36]Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou:
Ontology-based Interpretable Machine Learning for Textual Data. CoRR abs/2004.00204 (2020) - [i35]Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu:
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. CoRR abs/2004.12443 (2020) - [i34]Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu:
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions. CoRR abs/2005.07097 (2020) - [i33]Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou:
Cross-Task Transfer for Multimodal Aerial Scene Recognition. CoRR abs/2005.08449 (2020) - [i32]Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou:
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. CoRR abs/2007.03349 (2020) - [i31]Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou:
Representation Transfer by Optimal Transport. CoRR abs/2007.06737 (2020) - [i30]Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang:
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China. CoRR abs/2007.08254 (2020) - [i29]Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou:
Generating Person Images with Appearance-aware Pose Stylizer. CoRR abs/2007.09077 (2020) - [i28]Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou:
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup. CoRR abs/2007.10252 (2020) - [i27]Xiao Zhang, Xingjian Li, Dejing Dou, Ji Wu:
Measuring Information Transfer in Neural Networks. CoRR abs/2009.07624 (2020) - [i26]Di Hu, Rui Qian, Minyue Jiang, Xiao Tan, Shilei Wen, Errui Ding, Weiyao Lin, Dejing Dou:
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching. CoRR abs/2010.05466 (2020) - [i25]Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou:
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement. CoRR abs/2010.08532 (2020) - [i24]Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning. CoRR abs/2010.13378 (2020) - [i23]Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen:
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation. CoRR abs/2010.13389 (2020) - [i22]Dong Wang, Di Hu, Xingjian Li, Dejing Dou:
Temporal Relational Modeling with Self-Supervision for Action Segmentation. CoRR abs/2012.07508 (2020) - [i21]Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou:
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction. CoRR abs/2012.09624 (2020) - [i20]Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou:
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. CoRR abs/2012.12169 (2020) - [i19]Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou:
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. CoRR abs/2012.15037 (2020)
2010 – 2019
- 2019
- [c85]Xiao Zhang, Ji Wu, Dejing Dou:
Delta Embedding Learning. ACL (1) 2019: 3329-3334 - [c84]Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou:
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures. ACL (1) 2019: 4393-4399 - [c83]Amir Pouran Ben Veyseh, My T. Thai, Thien Huu Nguyen, Dejing Dou:
Rumor detection in social networks via deep contextual modeling. ASONAM 2019: 113-120 - [c82]Qiuhao Lu, Nisansa de Silva, Sabin Kafle, Jiazhen Cao, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Brent Hailpern, Berthold Reinwald, Yunyao Li:
Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies. BCB 2019: 338-346 - [c81]Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang:
Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. IEEE BigData 2019: 1018-1027 - [c80]Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang:
Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. IEEE BigData 2019: 1267-1273 - [c79]Nisansa de Silva, Dejing Dou:
Semantic Oppositeness Embedding Using an Autoencoder-Based Learning Model. DEXA (1) 2019: 159-174 - [c78]Han Hu, NhatHai Phan, Xinyue Ye, Ruoming Jin, Kele Ding, Dejing Dou, Huy T. Vo:
DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper). SIGSPATIAL/GIS 2019: 564-567 - [c77]Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang:
Dual Adversarial Learning Based Network Alignment. ICDM 2019: 1288-1293 - [c76]NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai:
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. IJCAI 2019: 4753-4759 - [c75]Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou:
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control. IJCAI 2019: 5153-5159 - [c74]Sabin Kafle, Nisansa de Silva, Dejing Dou:
An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering. IRI 2019: 326-333 - [c73]Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun:
An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere. MedInfo 2019: 163-167 - [i18]Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, Lianwen Jin:
Logic Rules Powered Knowledge Graph Embedding. CoRR abs/1903.03772 (2019) - [i17]NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou:
Preserving Differential Privacy in Adversarial Learning with Provable Robustness. CoRR abs/1903.09822 (2019) - [i16]Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun:
An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere. CoRR abs/1904.02062 (2019) - [i15]NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai:
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. CoRR abs/1906.01444 (2019) - [i14]Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou:
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures. CoRR abs/1907.03227 (2019) - [i13]Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou:
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control. CoRR abs/1907.03230 (2019) - [i12]Xiao Zhang, Dejing Dou, Ji Wu:
Learning Conceptual-Contexual Embeddings for Medical Text. CoRR abs/1908.06203 (2019) - [i11]Dou Goodman, Xingjian Li, Ji Liu, Dejing Dou, Tao Wei:
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. CoRR abs/1908.11435 (2019) - [i10]Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan:
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks. CoRR abs/1909.04200 (2019) - [i9]Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency. CoRR abs/1911.01678 (2019) - [i8]Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li:
Does Interpretability of Neural Networks Imply Adversarial Robustness? CoRR abs/1912.03430 (2019) - [i7]Xin Zhou, Dejing Dou, Boyang Li:
Searching for Stage-wise Neural Graphs In the Limit. CoRR abs/1912.12860 (2019) - 2018
- [j23]Pengwei Wang, Lei Ji, Jun Yan, Dejing Dou, Nisansa de Silva, Yong Zhang, Lianwen Jin:
Concept and Attention-Based CNN for Question Retrieval in Multi-View Learning. ACM Trans. Intell. Syst. Technol. 9(4): 41:1-41:24 (2018) - [c72]Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou:
HotFlip: White-Box Adversarial Examples for Text Classification. ACL (2) 2018: 31-36 - [c71]Yang Zhou, Amnay Amimeur, Chao Jiang, Dejing Dou, Ruoming Jin, Pengwei Wang:
Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering. IEEE BigData 2018: 1162-1167 - [c70]Javid Ebrahimi, Daniel Lowd, Dejing Dou:
On Adversarial Examples for Character-Level Neural Machine Translation. COLING 2018: 653-663 - [c69]Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang:
Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. ICDM 2018: 1464-1469 - [c68]Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan:
Recursive Structure Similarity: A Novel Algorithm for Graph Clustering. ICTAI 2018: 395-400 - [i6]Javid Ebrahimi, Daniel Lowd, Dejing Dou:
On Adversarial Examples for Character-Level Neural Machine Translation. CoRR abs/1806.09030 (2018) - 2017
- [j22]NhatHai Phan, Dejing Dou, Hao Wang, David Kil, Brigitte Piniewski:
Ontology-based deep learning for human behavior prediction with explanations in health social networks. Inf. Sci. 384: 298-313 (2017) - [j21]Fernando Gutierrez, Dejing Dou, Nisansa de Silva, Stephen Fickas:
Online Reasoning for Semantic Error Detection in Text. J. Data Semant. 6(3): 139-153 (2017) - [j20]NhatHai Phan, Xintao Wu, Dejing Dou:
Preserving differential privacy in convolutional deep belief networks. Mach. Learn. 106(9-10): 1681-1704 (2017) - [c67]Nisansa de Silva, Dejing Dou, Jingshan Huang:
Discovering Inconsistencies in PubMed Abstracts through Ontology-Based Information Extraction. BCB 2017: 362-371 - [c66]Amir Pouran Ben Veyseh, Javid Ebrahimi, Dejing Dou, Daniel Lowd:
A Temporal Attentional Model for Rumor Stance Classification. CIKM 2017: 2335-2338 - [c65]Jingshan Huang, Dejing Dou, Ming Tan, Glen M. Borchert, Karen Eilbeck, Alan Ruttenberg, Ping Yang:
Semantics-oriented data science and computational life sciences: Innovative application of semantic technologies in microRNA and lncRNA research. ICCABS 2017: 1 - [c64]NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou:
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. ICDM 2017: 385-394 - [c63]Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski:
Time-Sensitive Behavior Prediction in a Health Social Network. ICMLA 2017: 1083-1088 - [i5]NhatHai Phan, Xintao Wu, Dejing Dou:
Preserving Differential Privacy in Convolutional Deep Belief Networks. CoRR abs/1706.08839 (2017) - [i4]NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou:
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. CoRR abs/1709.05750 (2017) - [i3]Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou:
HotFlip: White-Box Adversarial Examples for NLP. CoRR abs/1712.06751 (2017) - 2016
- [j19]Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan:
The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology. J. Biomed. Semant. 7: 24 (2016) - [j18]Jingshan Huang, Fernando Gutierrez, Harrison J. Strachan, Dejing Dou, Weili Huang, Barry Smith, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Yu Lin, Bin Wu, Nisansa de Silva, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan, Alan Ruttenberg:
OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data. J. Biomed. Semant. 7: 25 (2016) - [j17]NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou:
Topic-Aware Physical Activity Propagation in a Health Social Network. IEEE Intell. Syst. 31(1): 5-14 (2016) - [j16]Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Nisansa de Silva, Mohan Vamsi Kasukurthi, Vikash Kumar Jha, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan:
The development of non-coding RNA ontology. Int. J. Data Min. Bioinform. 15(3): 214-232 (2016) - [j15]Fernando Gutierrez, Dejing Dou, Stephen Fickas, Daya C. Wimalasuriya, Hui Zong:
A hybrid ontology-based information extraction system. J. Inf. Sci. 42(6): 798-820 (2016) - [j14]Yelong Shen, NhatHai Phan, Xiao Xiao, Ruoming Jin, Junfeng Sun, Brigitte Piniewski, David Kil, Dejing Dou:
Dynamic socialized Gaussian process models for human behavior prediction in a health social network. Knowl. Inf. Syst. 49(2): 455-479 (2016) - [j13]NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil:
A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+). Soc. Netw. Anal. Min. 6(1): 79:1-79:14 (2016) - [j12]NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou:
Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network. ACM Trans. Intell. Syst. Technol. 8(1): 2:1-2:20 (2016) - [j11]Shangpu Jiang, Daniel Lowd, Sabin Kafle, Dejing Dou:
Ontology Matching with Knowledge Rules. Trans. Large Scale Data Knowl. Centered Syst. 28: 75-95 (2016) - [c62]NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou:
Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction. AAAI 2016: 1309-1316 - [c61]Shangpu Jiang, Daniel Lowd, Dejing Dou:
A Probabilistic Approach to Knowledge Translation. AAAI 2016: 1716-1722 - [c60]Jingshan Huang, Dejing Dou, Jun She, Andrew H. Limper, Yanan Yang, Ping Yang:
A comprehensive (biological and computational) investigation on the role of microRNA: : mRNA regulations performed in chronic obstructive pulmonary disease and lung cancer. BIBM 2016: 1062-1067 - [c59]Javid Ebrahimi, Dejing Dou:
Personalized Semantic Word Vectors. CIKM 2016: 1925-1928 - [c58]Javid Ebrahimi, Dejing Dou, Daniel Lowd:
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets. COLING 2016: 2656-2665 - [c57]Sabin Kafle, Dejing Dou:
A Heterogeneous Clustering Approach for Human Activity Recognition. DaWaK 2016: 68-81 - [c56]Hao Wang, Dejing Dou, Daniel Lowd:
Ontology-Based Deep Restricted Boltzmann Machine. DEXA (1) 2016: 431-445 - [c55]Javid Ebrahimi, NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil:
Characterizing Physical Activity in a Health Social Network. Digital Health 2016: 123-129 - [c54]Javid Ebrahimi, Dejing Dou, Daniel Lowd:
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping. EMNLP 2016: 1012-1017 - [c53]Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski:
Interaction Network Representations for Human Behavior Prediction. ICMLA 2016: 87-93 - 2015
- [j10]Dejing Dou, Pieter De Leenheer:
Special Issue on: Twelfth International Conference on Ontologies, Databases, and Applications of Semantics. J. Data Semant. 4(2): 79 (2015) - [j9]Hao Wang, Tania Tudorache, Dejing Dou, Natalya Fridman Noy, Mark A. Musen:
Analysis and Prediction of User Editing Patterns in Ontology Development Projects. J. Data Semant. 4(2): 117-132 (2015) - [c52]NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil:
Social Restricted Boltzmann Machine: Human Behavior Prediction in Health Social Networks. ASONAM 2015: 424-431 - [c51]NhatHai Phan, Dejing Dou, Hao Wang, David Kil, Brigitte Piniewski:
Ontology-based deep learning for human behavior prediction in health social networks. BCB 2015: 433-442 - [c50]Jingshan Huang, Karen Eilbeck, Judith A. Blake, Dejing Dou, Darren A. Natale, Alan Ruttenberg, Barry Smith, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Yongqun He, Shaojie Zhang, Xiaowei Wang, He Zhang, Zixing Liu, Ming Tan:
A domain ontology for the Non-Coding RNA field. BIBM 2015: 621-624 - [c49]Jingshan Huang, Fernando Gutierrez, Dejing Dou, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Barry Smith, Yu Lin, Xiaowei Wang, Zixing Liu, Ming Tan, Alan Ruttenberg:
A semantic approach for knowledge capture of MIcroRNA-Target gene interactions. BIBM 2015: 975-982 - [c48]Shangpu Jiang, Daniel Lowd, Dejing Dou:
Ontology Matching with Knowledge Rules. DEXA (1) 2015: 94-108 - [c47]Hao Wang, Dejing Dou, Yue Fang, Yongli Zhang:
Mining Strongly Correlated Intervals with Hypergraphs. DEXA (2) 2015: 339-348 - [c46]Javid Ebrahimi, Dejing Dou:
Chain Based RNN for Relation Classification. HLT-NAACL 2015: 1244-1249 - [c45]Dejing Dou, Hao Wang, Haishan Liu:
Semantic data mining: A survey of ontology-based approaches. ICSC 2015: 244-251 - [i2]Shangpu Jiang, Daniel Lowd, Dejing Dou:
Ontology Matching with Knowledge Rules. CoRR abs/1507.03097 (2015) - [i1]Shangpu Jiang, Daniel Lowd, Dejing Dou:
A Probabilistic Approach to Knowledge Translation. CoRR abs/1507.03181 (2015) - 2014
- [c44]NhatHai Phan, Dejing Dou, Xiao Xiao, Brigitte Piniewski, David Kil:
Analysis of Physical Activity Propagation in a Health Social Network. CIKM 2014: 1329-1338 - [c43]Fernando Gutierrez, Dejing Dou, Stephen Fickas, Gina Griffiths:
Online Reasoning for Ontology-Based Error Detection in Text. OTM Conferences 2014: 562-579 - 2013
- [c42]Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, Nigam Shah:
Mining Biomedical Ontologies and Data Using RDF Hypergraphs. ICMLA (1) 2013: 141-146 - [c41]Fernando Gutierrez, Dejing Dou, Adam Martini, Stephen Fickas, Hui Zong:
Hybrid Ontology-Based Information Extraction for Automated Text Grading. ICMLA (1) 2013: 359-364 - [c40]Pieter De Leenheer, Dejing Dou:
ODBASE 2013 PC Co-Chairs Message. OTM Conferences 2013: 451 - [c39]Hao Wang, Tania Tudorache, Dejing Dou, Natalya Fridman Noy, Mark A. Musen:
Analysis of User Editing Patterns in Ontology Development Projects. OTM Conferences 2013: 470-487 - [c38]Pieter De Leenheer, Dejing Dou:
ODBASE 2013 PC Co-Chairs Message. OTM Workshops 2013: 730 - [e2]Robert Meersman, Hervé Panetto, Tharam S. Dillon, Johann Eder, Zohra Bellahsene, Norbert Ritter, Pieter De Leenheer, Dejing Dou:
On the Move to Meaningful Internet Systems: OTM 2013 Conferences - Confederated International Conferences: CoopIS, DOA-Trusted Cloud, and ODBASE 2013, Graz, Austria, September 9-13, 2013. Proceedings. Lecture Notes in Computer Science 8185, Springer 2013, ISBN 978-3-642-41029-1 [contents] - 2012
- [j8]Haishan Liu, Gwen A. Frishkoff, Robert M. Frank, Dejing Dou:
Sharing and integration of cognitive neuroscience data: Metric and pattern matching across heterogeneous ERP datasets. Neurocomputing 92: 156-169 (2012) - [j7]Haishan Liu, Dejing Dou, Hao Wang:
Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Metaheuristics. J. Data Semant. 1(2): 133-145 (2012) - [c37]Jingshan Huang, Xingyu Lu, Dejing Dou, William T. Gerthoffer, Jiangbo Dang, Judith A. Blake, Ming Tan:
An ontology-based MicroRNA knowledge sharing and acquisition framework. BIBM Workshops 2012: 740-747 - [c36]Fernando Gutierrez, Dejing Dou, Stephen Fickas, Gina Griffiths:
Providing grades and feedback for student summaries by ontology-based information extraction. CIKM 2012: 1722-1726 - [c35]Shangpu Jiang, Daniel Lowd, Dejing Dou:
Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic. ICDM 2012: 912-917 - [c34]Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Afrin Chowdhury, Junfeng Sun, Brigitte Piniewski, David Kil:
Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network. ICDM 2012: 1110-1115 - [c33]Nafisa Afrin Chowdhury, Dejing Dou:
Evaluating Ontology Matchers Using Arbitrary Ontologies and Human Generated Heterogeneities. OTM Conferences (2) 2012: 664-681 - [c32]Shangpu Jiang, Daniel Lowd, Dejing Dou:
Using Markov Logic to Refine an Automatically Extracted Knowledge Base. StarAI@UAI 2012 - 2011
- [j6]Paea LePendu, Dejing Dou:
Using ontology databases for scalable query answering, inconsistency detection, and data integration. J. Intell. Inf. Syst. 37(2): 217-244 (2011) - [c31]Dejing Dou, Han Qin, Haishan Liu:
Semantic Translation for Rule-Based Knowledge in Data Mining. DEXA (2) 2011: 74-89 - [c30]Haishan Liu, Paea LePendu, Ruoming Jin, Dejing Dou:
A Hypergraph-based Method for Discovering Semantically Associated Itemsets. ICDM 2011: 398-406 - [c29]Chang-Hwan Lee, Fernando Gutierrez, Dejing Dou:
Calculating Feature Weights in Naive Bayes with Kullback-Leibler Measure. ICDM 2011: 1146-1151 - [c28]Fernando Gutierrez, Daya C. Wimalasuriya, Dejing Dou:
Using Information Extractors with the Neural ElectroMagnetic Ontologies. OTM Workshops 2011: 31-32 - [c27]Haishan Liu, Dejing Dou:
Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Simulated Annealing. OTM Conferences (2) 2011: 698-715 - [c26]Nafisa Afrin Chowdhury, Dejing Dou:
Improving the Accuracy of Ontology Alignment through Ensemble Fuzzy Clustering. OTM Conferences (2) 2011: 826-833 - [e1]Sheng Zhong, Dejing Dou, Yu Wang:
30th IEEE International Performance Computing and Communications Conference, IPCCC 2011, Orlando, Florida, USA, November 17-19, 2011. IEEE Computer Society 2011, ISBN 978-1-4673-0010-0 [contents] - 2010
- [j5]Dejing Dou, Han Qin, Paea LePendu:
Ontograte: towards Automatic Integration for Relational Databases and the Semantic Web through an Ontology-Based Framework. Int. J. Semantic Comput. 4(1): 123-151 (2010) - [j4]Daya C. Wimalasuriya, Dejing Dou:
Ontology-based information extraction: An introduction and a survey of current approaches. J. Inf. Sci. 36(3): 306-323 (2010) - [c25]Jingshan Huang, Ming Tan, Dejing Dou, Lei He, Christopher Townsend, Patrick J. Hayes:
Ontology for MicroRNA Target prediction in human cancer. BCB 2010: 472-474 - [c24]Christopher Townsend, Jingshan Huang, Dejing Dou, Haishan Liu, Lei He, Patrick J. Hayes, Robert Rudnick, Hardik Shah, Dennis Fell, Wei Liu:
Ontology-based knowledge acquisition for neuromotor functional recovery in stroke. BIBM Workshops 2010: 424-429 - [c23]Christopher Townsend, Jingshan Huang, Dejing Dou, Haishan Liu, Lei He, Patrick J. Hayes, Robert Rudnick, Hardik Shah, Dennis Fell, Wei Liu:
NeuMORE: Ontology in stroke recovery. BIBM Workshops 2010: 821-822 - [c22]Daya C. Wimalasuriya, Dejing Dou:
Components for information extraction: ontology-based information extractors and generic platforms. CIKM 2010: 9-18 - [c21]Jingshan Huang, Dejing Dou, Lei He, Patrick J. Hayes, Jiangbo Dang:
Ontology-based knowledge discovery and sharing in bioinformatics and medical informatics: A brief survey. FSKD 2010: 2203-2208 - [c20]Han Qin, Dejing Dou, Yue Fang:
Financial Forecasting with Gompertz Multiple Kernel Learning. ICDM 2010: 983-988 - [c19]Christopher Townsend, Jingshan Huang, Dejing Dou, Shivraj Dalvi, Patrick J. Hayes, Lei He, Wen-Chang Lin, Haishan Liu, Robert Rudnick, Hardik Shah:
OMIT: Domain Ontology and Knowledge Acquisition in MicroRNA Target Prediction - (Short Paper). OTM Conferences (2) 2010: 1160-1167 - [c18]Haishan Liu, Gwen A. Frishkoff, Robert M. Frank, Dejing Dou:
Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data. PAKDD (2) 2010: 43-54
2000 – 2009
- 2009
- [c17]Daya C. Wimalasuriya, Dejing Dou:
Using multiple ontologies in information extraction. CIKM 2009: 235-244 - [c16]Paea LePendu, Dejing Dou, Douglas G. Howe:
Detecting Inconsistencies in the Gene Ontology Using Ontology Databases with Not-gadgets. OTM Conferences (2) 2009: 948-965 - 2008
- [c15]Paea LePendu, Dejing Dou, Gwen A. Frishkoff, Jiawei Rong:
Ontology Database: A New Method for Semantic Modeling and an Application to Brainwave Data. SSDBM 2008: 313-330 - 2007
- [j3]Gwen A. Frishkoff, Robert M. Frank, Jiawei Rong, Dejing Dou, Joseph Dien, Laura K. Halderman:
A Framework to Support Automated Classification and Labeling of Brain Electromagnetic Patterns. Comput. Intell. Neurosci. 2007 (2007) - [c14]Jongwan Kim, Dejing Dou, Haishan Liu, Donghwi Kwak:
Constructing a User Preference Ontology for Anti-spam Mail Systems. Canadian AI 2007: 272-283 - [c13]Jiawei Rong, Dejing Dou, Gwen A. Frishkoff, Robert M. Frank, Allen D. Malony, Don M. Tucker:
A Semi-Automatic Framework for Mining ERP Patterns. AINA Workshops (1) 2007: 329-334 - [c12]Jun Li, Dejing Dou, Shiwoong Kim, Han Qin, Yibo Wang:
On Knowledge-Based Classification of Abnormal BGP Events. ICISS 2007: 267-271 - [c11]Dejing Dou, Gwen A. Frishkoff, Jiawei Rong, Robert M. Frank, Allen D. Malony, Don M. Tucker:
Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies. KDD 2007: 270-279 - [c10]Han Qin, Dejing Dou, Paea LePendu:
Discovering Executable Semantic Mappings Between Ontologies. OTM Conferences (1) 2007: 832-849 - [c9]Daya C. Wimalasuriya, Sridhar Ramachandran, Dejing Dou:
Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels. PAKDD 2007: 912-920 - [c8]Dejing Dou, Jun Li, Han Qin, Shiwoong Kim, Sheng Zhong:
Understanding and Utilizing the Hierarchy of Abnormal BGP Events. SDM 2007: 467-472 - 2006
- [c7]Dejing Dou, Drew V. McDermott:
Deriving axioms across ontologies. AAMAS 2006: 952-954 - [c6]Dejing Dou, Drew V. McDermott:
Towards Theory Translation. DALT 2006: 16-28 - [c5]Dejing Dou, Paea LePendu, Shiwoong Kim, Peishen Qi:
Integrating Databases into the Semantic Web through an Ontology-Based Framework. ICDE Workshops 2006: 54 - [c4]Dejing Dou, Paea LePendu:
Ontology-based integration for relational databases. SAC 2006: 461-466 - 2005
- [j2]Jun Li, Dejing Dou, Zhen Wu, Shiwoong Kim, Vikash Agarwal:
An internet routing forensics framework for discovering rules of abnormal BGP events. Comput. Commun. Rev. 35(5): 55-66 (2005) - [j1]Dejing Dou, Drew V. McDermott, Peishen Qi:
Ontology Translation on the Semantic Web. J. Data Semant. 2: 35-57 (2005) - [c3]Dejing Dou, Paea LePendu:
Ontology-Based Integration for Relational Data. OTM Workshops 2005: 35-36 - 2003
- [c2]Dejing Dou, Drew V. McDermott, Peishen Qi:
Ontology Translation on the Semantic Web. OTM 2003: 952-969 - 2002
- [c1]Drew V. McDermott, Dejing Dou:
Representing Disjunction and Quantifiers in RDF. ISWC 2002: 250-263
Coauthor Index
[j73] [j72] [j71] [j68] [c172] [c171] [c170] [c169] [i108] [i107] [i106] [i105] [j60] [j58] [j57] [j56] [j52] [j45] [c166] [c165] [c161] [c159] [i100] [i98] [i94] [i93] [i92] [i91] [i90] [j38] [j37] [j34] [c154] [c149] [c148] [c147] [c146] [i84] [i78] [i75] [i74] [i70] [j31] [j29] [c131] [c121] [c119] [c114] [c110] [i63] [i58] [i53] [i46] [i42] [i41] [i40] [c101] [c100] [i30] [i20] [i11]
[j70] [j67] [j66] [j64] [j63] [j62] [j61] [c171] [j60] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j44] [c168] [c162] [c160] [c158] [i104] [i101] [i99] [i97] [i95] [j43] [j42] [j41] [j39] [j38] [j37] [j36] [j35] [j34] [c150] [c142] [c141] [c138] [i86] [i83] [i80] [i77] [i76] [i73] [i68] [i67] [j30] [j29] [j27] [j26] [j25] [c131] [c129] [c120] [c119] [c116] [c115] [i63] [i62] [i58] [i57] [i56] [i55] [i51] [i50] [i49] [i47] [i46] [i45] [i40] [c101] [c100] [c99] [c91] [c89] [i39] [i37] [i35] [i32] [i30] [i29] [i28] [i25] [i21] [i20]
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 2024-12-23 19:29 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:
