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EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models


May 31, 2021
Jiaxiang Wu, Shitong Luo, Tao Shen, Haidong Lan, Sheng Wang, Junzhou Huang

* 18 pages, 12 figures 

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tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modeling Structure Refinement


May 30, 2021
Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang

* 28 pages, 9 figures 

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Federated Graph Learning -- A Position Paper


May 24, 2021
Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu


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tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement


May 22, 2021
Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang

* 27 pages, 9 figures 

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Federated Unsupervised Representation Learning


Oct 18, 2020
Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li


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RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion


Oct 10, 2020
Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang

* Accepted to appear at COLING 2020 

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Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention


Oct 08, 2020
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang

* Accepted to appear at COLING 2020 

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BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes


Sep 24, 2020
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang

* 10 pages, 8 figures, accepted by IEEE ICDM 2020. arXiv admin note: substantial text overlap with arXiv:2006.10516 

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Federated Mutual Learning


Jun 27, 2020
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu


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Self-Attention Enhanced Patient Journey Understanding in Healthcare System


Jun 19, 2020
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

* 16 pages, 6 figures, accepted by ECML/PKDD 2020 

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Multi-Center Federated Learning


May 03, 2020
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang


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Semantic Triple Encoder for Fast Open-Set Link Prediction


Apr 30, 2020
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang


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Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning


Apr 29, 2020
Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen


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Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction


Nov 27, 2019
Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang

* Accepted to appear at AAAI 2020 

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Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base


Oct 11, 2019
Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang

* Accepted to appear at EMNLP-IJCNLP 2019 

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Temporal Self-Attention Network for Medical Concept Embedding


Sep 15, 2019
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein

* 10 pages, 7 figures, accepted at IEEE ICDM 2019 

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Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering


Sep 06, 2019
Tao Shen, Xiubo Geng, Tao Qin, Guodong Long, Jing Jiang, Daxin Jiang


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Fast Directional Self-Attention Mechanism


Sep 09, 2018
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

* 9 pages, 2 figures 

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Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling


Jul 05, 2018
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang

* 9 pages, 2 figures; accepted at IJCAI-ECAI-18 

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Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling


Apr 03, 2018
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

* 18 pages, 7 figures; Accepted in ICLR-18 

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DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding


Nov 20, 2017
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang

* 10 pages, 8 figures; Accepted in AAAI-18 

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