裴红斌西安交通大学教师主页管理系统 Selected Publications 中文主页

裴红斌

博士生导师

硕士生导师

职称：副教授

教师姓名：裴红斌

教师英文名称：Hongbin Pei

电子邮箱：

学历：博士研究生毕业

性别：男

学位：博士

在职信息：在职

毕业院校：吉林大学

所属院系：网络空间安全学院

学科：网络空间安全

同学科/专业博导同学科/专业硕导

Selected Publications

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面向真实问题，聚焦前沿技术，探索科学边界，打造公益应用

Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan. Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics. The forty-first International Conference on Machine Learning, 2025（ICML; CCF-A类会议）
裴红斌, 海竞昕, 王平辉, 管晓宏. 系统安全视角下网络社会治理的挑战、对策与前瞻技术. 中国科学院院刊, 2025（国家科学思想库核心媒体）
Huiqi Deng, Hongbin Pei*, Quanshi Zhang, Mengnan Du. Attribution Explanations for Deep Neural Networks: A Theoretical Perspective. arXiv:2508.07636, 2025（首篇理论视角下的归因解释综述）
Runze Lei, Pinghui Wang, Juxiang Zeng, Chenxu Wang, Hongbin Pei, Junzhou Zhao. PARSIFAL: Private and Robust Sign Federated Learning. 31st SIGKDD Conference on Knowledge Discovery and Data Mining, 2025（KDD; CCF-A类会议）
Jialun Liu, Jinbo Wu, Xiaobo Gao, JiaKui Hu, Bojun Xiong, Xing Liu, Chen Zhao, Hongbin Pei, Haocheng Feng, Yingying Li, Errui Ding, Jingdong Wang. TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer. The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025（CVPR; CCF-A类会议）
Denghao Ma, Xu Zhang, Xueqiang Lv, Yanhe Du, Changyu Wang, Hongbin Pei*. An unsupervised fusion framework of generation and retrieval for entity search. Expert Systems With Applications, 2025（ESWA; 中科院一区期刊）
Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui. Debate on graph: a flexible and reliable reasoning framework for large language models. The 39th Annual AAAI Conference on Artificial Intelligence, 2025（AAAI; CCF-A类会议）
Ziyan Yang, Shuhui Gong, Xinqi Liu, Jiahao Lv, Changjian Liu, Jilin Hu, Hongbin Pei. VisitFrequency-Diffusion: Leveraging Recurrent Visits for Long-Term Individual Trajectory Forecasting. The 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2025（ACM SIGSPATIAL）
Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du. Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024（NeurIPS; CCF-A类会议）
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））
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）
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）
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）
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）
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）
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）
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）
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）
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）
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）
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）
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）
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+）
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）
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）
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）
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）
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）
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）
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) ）
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）

面向真实问题，聚焦前沿技术，探索科学边界，打造公益应用

裴红斌, 海竞昕, 王平辉, 管晓宏. 系统安全视角下网络社会治理的挑战、对策与前瞻技术. 中国科学院院刊, 2025（国家科学思想库核心媒体）

Huiqi Deng, Hongbin Pei*, Quanshi Zhang, Mengnan Du. Attribution Explanations for Deep Neural Networks: A Theoretical Perspective. arXiv:2508.07636, 2025（首篇理论视角下的归因解释综述）

Runze Lei, Pinghui Wang, Juxiang Zeng, Chenxu Wang, Hongbin Pei, Junzhou Zhao. PARSIFAL: Private and Robust Sign Federated Learning. 31st SIGKDD Conference on Knowledge Discovery and Data Mining, 2025（KDD; CCF-A类会议）

Denghao Ma, Xu Zhang, Xueqiang Lv, Yanhe Du, Changyu Wang, Hongbin Pei*. An unsupervised fusion framework of generation and retrieval for entity search. Expert Systems With Applications, 2025（ESWA; 中科院一区期刊）

Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du. Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024（NeurIPS; CCF-A类会议）

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）

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）

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）

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）

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）

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）

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）

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）

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）

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）

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）

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）

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）

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）

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）

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）

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）

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）