Publications

Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang (2020). Going Deep: Graph Convolutional Ladder-Shape Networks. AAAI 2020.

Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang (2020). Attribute Propagation Network for Graph Zero-shot Learning. AAAI 2019.

Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, S Yu Philip (2020). A comprehensive survey on graph neural networks. IEEE Transactions on Neural Networks and Learning Systems.

Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein (2019). Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline.

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Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang (2019). Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. AAAI 2020.

Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang (2019). Prototype propagation networks (PPN) for weakly-supervised few-shot learning on category graph. IJCAI 2019.

Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang (2019). Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. EMNLP-IJCNLP 2019.

Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang (2019). Learning to propagate for graph meta-learning. NeurIPS 2019.

PDF Code Poster Slides

Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang (2019). Graph wavenet for deep spatial-temporal graph modeling. IJCAI 2019.

Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang (2019). Attributed graph clustering: A deep attentional embedding approach. IJCAI 2019.

Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang (2018). Tensorized self-attention: Efficiently modeling pairwise and global dependencies together.

Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang (2018). Salient subsequence learning for time series clustering. IEEE transactions on pattern analysis and machine intelligence.

Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang (2018). Reinforced self-attention network: a hybrid of hard and soft attention for sequence modeling. IJCAI-ECAI-18.

Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang (2018). Disan: Directional self-attention network for rnn/cnn-free language understanding. AAAI 2018.

Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang (2018). Bi-directional block self-attention for fast and memory-efficient sequence modeling. ICLR 2018.