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Jianxin Li

Beihang University

Deep Learning Schema-based Event Extraction: Literature Review and Current Trends


Jul 22, 2021
Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu


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Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations


Jun 23, 2021
Qian Li, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang


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RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models


Jun 07, 2021
Xin Guo, Jianlei Yang, Haoyi Zhou, Xucheng Ye, Jianxin Li

* 10 pages, 9 figures 

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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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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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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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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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Dynamic Network Embedding Survey


Mar 29, 2021
Guotong Xue, Ming Zhong, Jianxin Li, Jia Chen, Chengshuai Zhai, Ruochen Kong

* Neurocomputing accepted 

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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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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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Chaotic-to-Fine Clustering for Unlabeled Plant Disease Images


Jan 18, 2021
Uno Fang, Jianxin Li, Xuequan Lu, Mumtaz Ali, Longxiang Gao, Yong Xiang

* This paper has been submitted to Computer Vision and Image Understanding 

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Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting


Dec 17, 2020
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang

* 7 pages (main), 5 pages (appendix) and to be appeared in AAAI2021 

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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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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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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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MODEL: Motif-based Deep Feature Learning for Link Prediction


Aug 09, 2020
Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia

* IEEE Transactions on Computational Social Systems, 7(2): 503-516, April 2020 
* 14 pages, 7 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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