Selected Publications

面向真实问题，聚焦前沿技术，探索科学边界，构建天堑通途

  1. Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan. Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing. The forty-first International Conference on Machine Learning, 2024（ICML; CCF-A类会议；Spotlight Paper（ICML'24中Spotlight+Oral论文的录用率为3.5%）；算法应用在KDD CUP 2024 Task 2挑战赛，获得铜牌（第三名））

  2. Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan. Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. The 2024 ACM Web Conference, 2024（WWW; CCF-A类会议）

  3. Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan. HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning. Thirty-eighth AAAI Conference on Artificial Intelligence, 2024（AAAI; CCF-A类会议）

  4. Denghao Ma, Hongbin Pei, Peng Bao, Xueqiang Lv, Liang Shen, Genliang Yi, Haoxing Wen. Deep click interest network for reranking hotels. Engineering Applications of Artificial Intelligence, 2024（EAAI; 中科院1区期刊; 算法实际应用在美团APP首页搜索模块）

  5. Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei (Corresponding Author). Generalized Variational Inference via Optimal Transport. Thirty-eighth AAAI Conference on Artificial Intelligence, 2024（AAAI; CCF-A类会议）

  6. Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao. Robust Visual Question Answering: Datasets, Methods, and Future Challenges. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024（IEEE TPAMI; CCF-A类期刊; 期刊影响因子23.6）

  7. Denghao Ma, Xiayu Wang, Xueqiang Lv, Hongbin Pei, Liang Shen, Youyou Zhang. Data-driven smoothing approaches for interest modeling in recommendation systems. Expert Systems with Applications, 2024（ESWA; 中科院1区期刊）

  8. Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang. LaenNet: Learning robust GCNs by propagating labels. Neural Networks, 2023（CCF-B类期刊）

  9. Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang. Active Surveillance via Group Sparse Bayesian Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022（IEEE TPAMI; 期刊影响因子23.6; ESI热点论文/高被引论文; 算法实际应用在中缅边境的输入型疟疾防控中）

  10. 王平辉, 裴红斌, 赵俊舟, 秦涛, 沈超, 刘东亮, 管晓宏. 网络社会现代治理的挑战与对策.中国科学院院刊, 2022（《中国科学院院刊》2023年度最受公众关注的十大热文）

  11. Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li. Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification. IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022（CVPR; CCF-A类会议）

  12. Jialun Liu, Yifan Sun, Yijin Xu, Hongbin Pei, Wenhui Li. Feature Cloud: Improving Deep Visual Recognition With Probabilistic Feature Augmentation. IEEE Transactions on Circuits and Systems for Video Technology, 2022（TCSVT; CCF-B类期刊; 中科院1区期刊）

  13. Denghao Ma, Yueguo Chen, Changyu Wang, Hongbin Pei, Yitao Zhai, Gang Zheng, Qi Chen. Definition-augmented jointly training framework for intention phrase mining. International Conference on Database Systems for Advanced Applications, 2022（DASFAA; CCF-B类会议）

  14. Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang. Geom-GCN: Geometric Graph Convolutional Networks. The eighth International Conference on Learning Representations, 2020（ICLR; 清华计算机推荐A类会议; Spotlight口头报告; 引发异配图学习热点，谷歌学术被引次数 1000+）

  15. Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang. Curvature Regularization to Prevent Distortion in Graph Embedding. Thirty-fourth Conference on Neural Information Processing Systems, 2020（NeurIPS; CCF-A类会议; Spotlight口头报告）

  16. Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei, Quanyu Dai. Social Attentive Deep Q-networks for Recommender Systems. IEEE Transactions on Knowledge and Data Engineering, 2020（IEEE TKDE; CCF-A类期刊）

  17. Yu Lei, Hongbin Pei, Hanqi Yan, Wenjie Li. Reinforcement learning based recommendation with graph convolutional q-network. 43rd international ACM SIGIR conference on research and development in information retrieval, 2020（SIGIR; CCF-A类会议）

  18. Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei. Social attentive deep q-network for recommendation. 42nd international ACM SIGIR conference on research and development in information retrieval (SIGIR), 2019（SIGIR; CCF-A类会议）

  19. Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong. Group Sparse Bayesian Learning for Actively Surveillance on Epidemic Dynamics. Thirty-second AAAI Conference on Artificial Intelligence, 2018（AAAI; CCF-A类会议; Spotlight口头报告）

  20. Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia. Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017（IEEE TPAMI; CCF-A类期刊; 期刊影响因子23.6）

  21. Jingbo Zhou, Hongbin Pei, Haishan Wu. Early Warning of Human Crowds Based on Query Data from Baidu Map: Analysis Based on Shanghai Stampede. arXiv:1603.06780, 2017 （论文获得多家国际著名媒体报道, 包括 MIT Technology Review (麻省理工科技评论), Wall Street Journal (华尔街日报), South China Morning Post (南华早报) ）

  22. 译著《机器学习精讲：基础、算法及应用（第一版）》杰瑞米·瓦特、雷萨·博哈尼、阿格洛斯·K.卡萨格罗斯. 机械工业出版社. ISBN 9787111611967. 2019 （负责第五章和第六章）