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Generalization in Text-based Games via Hierarchical Reinforcement Learning


Sep 21, 2021
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang

* 41 pages, 11 figures, EMNLP2021 Findings 

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Federated Learning for Open Banking


Aug 24, 2021
Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang


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Multi-Center Federated Learning


Aug 21, 2021
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang, Chengqi Zhang

* It should be a replacement of an existing paper in the link. arXiv:2005.01026 

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MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning


Jul 23, 2021
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang


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Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering


Jul 10, 2021
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

* 11 pages 

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Isometric Propagation Network for Generalized Zero-shot Learning


Feb 03, 2021
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang

* Accepted by ICLR 2021 

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Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning


Dec 19, 2020
Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang


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Cooperative Heterogeneous Deep Reinforcement Learning


Nov 02, 2020
Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang


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Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games


Oct 22, 2020
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang

* Accepted by NeurIPS2020 

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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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Attribute Propagation Network for Graph Zero-shot Learning


Sep 24, 2020
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

* AAAI 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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Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy


Jun 28, 2020
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang


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Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks


May 24, 2020
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang

* Accepted by KDD 2020 

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Learning to Propagate for Graph Meta-Learning


Sep 11, 2019
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

* Accepted to NeurIPS 2019 

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Attributed Graph Clustering: A Deep Attentional Embedding Approach


Jun 15, 2019
Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang

* Accepted to IJCAI-19 

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Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph


Jun 02, 2019
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang

* Accepted to IJCAI 2019, Code is publicly available at: https://github.com/liulu112601/PPN 

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Graph WaveNet for Deep Spatial-Temporal Graph Modeling


May 31, 2019
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

* to be published in IJCAI-2019 

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Search Efficient Binary Network Embedding


Jan 14, 2019
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang


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Attributed Network Embedding via Subspace Discovery


Jan 14, 2019
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang


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Learning Graph Embedding with Adversarial Training Methods


Jan 04, 2019
Shirui Pan, Ruiqi Hu, Sai-fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang

* arXiv admin note: substantial text overlap with arXiv:1802.04407 

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A Comprehensive Survey on Graph Neural Networks


Jan 03, 2019
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu


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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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Network Representation Learning: A Survey


Jul 19, 2018
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

* Accepted by IEEE transactions on Big Data; 25 pages, 10 tables, 6 figures and 127 references 

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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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