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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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Learning from Context or Names? An Empirical Study on Neural Relation Extraction


Oct 05, 2020
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou

* Accepted by EMNLP 2020 

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KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning


Sep 26, 2020
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

* 9 pages, 7 figures 

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Contextualized Perturbation for Textual Adversarial Attack


Sep 16, 2020
Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan


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Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks


Sep 04, 2020
Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He

* accepted by ICDM 2020 as regular paper 

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Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters


Aug 19, 2020
Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu

* Accepted by CIKM 2020 

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Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market


Aug 12, 2020
Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He

* 14 pages, journal 

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Adversarial Directed Graph Embedding


Aug 09, 2020
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Philip S. Yu, Lifang He

* 7 pages, 4 figures 

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A Survey on Text Classification: From Shallow to Deep Learning


Aug 04, 2020
Qian Li, Hao Peng, Jianxin Li, Congyin Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He


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A Text Classification Survey: From Shallow to Deep Learning


Aug 02, 2020
Qian Li, Hao Peng, Jianxin Li, Congyin Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He


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Receding Horizon Control Based Online Motion Planning with Partially Infeasible LTL Specifications


Jul 23, 2020
Mingyu Cai, Hao Peng, Zhijun Li, Hongbo Gao, Zhen Kan


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Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation


Jun 28, 2020
Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith

* Added references and acknowledgements 

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Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View


Jun 23, 2020
Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu

* 10 pages 

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