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Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation


Jun 06, 2021
Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu


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Automated Timeline Length Selection for Flexible Timeline Summarization


May 29, 2021
Xi Li, Qianren Mao, Hao Peng, Hongdong Zhu, Jianxin Li, Zheng Wang


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Noised Consistency Training for Text Summarization


May 28, 2021
Junnan Liu, Qianren Mao, Bang Liu, Hao Peng, Hongdong Zhu, Jianxin Li


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Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks


May 24, 2021
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He

* Accept by IJCAI 2021 

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A Robust and Generalized Framework for Adversarial Graph Embedding


May 22, 2021
Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He


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Federated Knowledge Graphs Embedding


May 17, 2021
Hao Peng, Haoran Li, Yangqiu Song, Vincent Zheng, Jianxin Li


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Federated Multi-View Learning for Private Medical Data Integration and Analysis


May 04, 2021
Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He

* 22 pages, 6 figures, journal 

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Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks


Apr 16, 2021
Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He

* Accepted by IEEE TKDE. Code is available at https://github.com/RingBDStack/HAE 

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Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks


Apr 16, 2021
Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu

* Under review. 43 pages. Code is available at https://github.com/safe-graph/RioGNN 

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HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization


Apr 12, 2021
Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu

* Accepted by NAACL-HLT 2021 

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Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs


Apr 06, 2021
Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu

* 9 pages, Accepted as a regular paper in AAAI Conference on Artificial Intelligence 2021 

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Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks


Apr 02, 2021
Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He

* Accepted by TKDD 2021. arXiv admin note: text overlap with arXiv:1906.04580 

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KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph


Apr 01, 2021
Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen

* 16 pages, 3 figures, 5 tables, in DASFAA'21 

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Finetuning Pretrained Transformers into RNNs


Mar 24, 2021
Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith


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Random Feature Attention


Mar 19, 2021
Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong

* ICLR 2021 

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Privacy-Preserving Federated Depression Detection from Multi-Source Mobile Health Data


Mar 07, 2021
Xiaohang Xu, Hao Peng, Lichao Sun, Md Zakirul Alam Bhuiyan, Lianzhong Liu, Lifang He


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Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs


Feb 13, 2021
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu

* This work has been accepted to The Web Conference 2021 

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Federated Depression Detection from Multi-SourceMobile Health Data


Feb 06, 2021
Xiaohang Xu, Hao Peng, Lichao Sun, Yan Niu, Hongyuan Ma, Lianzhong Liu, Lifang He


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SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism


Jan 20, 2021
Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Phillip S. Yu, Lifang He

* Accepted by The Web Conference (WWW) 2021 

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Heterogeneous Similarity Graph Neural Network on Electronic Health Records


Jan 17, 2021
Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu


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Infusing Finetuning with Semantic Dependencies


Dec 20, 2020
Zhaofeng Wu, Hao Peng, Noah A. Smith

* Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2020. Author's final version (pre-MIT Press publication) 

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Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation


Nov 02, 2020
Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu

* Accepted by COLING 2020 

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Kalman Filtering Attention for User Behavior Modeling in CTR Prediction


Oct 20, 2020
Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan


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