张泽宇，华中农业大学信息学院、工学院双聘副教授，硕士生导师

Email:  zhangzeyu@mail.hzau.edu.cn

QQ: 364095721

新西兰奥克兰大学计算机科学博士毕业（QS2025排名65），师从欧洲科学院院士、新西兰皇家科学院院士Bakh Khoussainov教授与Jiamou Liu副教授，在NeurIPS, WWW, AAAI, SIGIR, IJCAI等 CCF A类会议发表文章多篇，参加新西兰自然科学基金项目（Marsden Fund Council）2项，科技部支撑项目1项，省级重点项目1项，校级自主创新基金1项。现为NeurIPS, ICLR, WWW, KDD, AAAI等计算机顶级会议审稿人。主要从事可信深度学习、AI for Science等方面的研究。希望态度积极，对科研工作特别是深度学习，神经网络研究有兴趣的同学和我联系。

个人主页：https://alex-zeyu.github.io/

谷歌学术：https://scholar.google.com/citations?user=P5aygEcAAAAJ&hl=zh-CN

已发表代表论文：（* 表示通讯作者）

    15. Lu Li, Jiale Liu, Xingyu Ji, *Maojun Wang, *Zeyu Zhang. SE-SGformer: A Self-Explainable Signed Graph Transformer for Link Sign Prediction. AAAI 2025.

    14. Zeyu Zhang, Lu Li, Shuyan Wan, Sijie Wang, Zhiyi Wang, Zhiyuan Lu, Dong Hao, *Wanli li. DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks. NeurIPS 2024.

    13. Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, *Zeyu Zhang, *Xiaofeng Zhu. Exploring the Role of Node Diversity in Directed Graph Representation Learning. IJCAI 2024.

    12. Lin Ni, Sijie Wang, *Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, and Jiamou Liu. Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy, AAAI 2024

    11. Sijie Wang, Lin Ni, *Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Jiamou Liu. Multimodal Prediction of Student Performance: A Fusion of Signed Graph Neural Networks and Large Language Models, Pattern Recognition Letters 2024. https://doi.org/10.1016/j.patrec.20 24.03.007

    10. Zeyu Zhang, *Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, and Yifei Wang. Contrastive Learning for Signed Bipartite Graphs. SIGIR 2023.

    9.  Zeyu Zhang, *Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao, Zijian Zhang. RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. WWW 2023.

    8. Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, and *Jiamou Liu. User: Unsupervised structural entropy-based robust graph neural network. AAAI 2023.

    7. Qiqi Wang, Ruofan Wang, *Kaiqi Zhao, Robert Amora, Benjamin Liu, Xianda Zheng, Zeyu Zhang, Zijian Huang. Towards Legal Judgment Summarization: A Structure-Enhanced Approach. ECAI 2023.

    6. Guanhua Zhu, *Quansi Huang, Zeyu Zhang. A Condition-Monitoring Method for Rolling Bearings Based on Dynamic Asynchronous Peak-Factor Ratios[J]. Sensors, 2023, 23(21): 8939

    5. Zeyu Zhang, Amjad Mehmood, Lei Shu, Zhiqiang Huo, Yu Zhang, Mithun Mukherjee. A survey on fault diagnosis in wireless sensor networks. IEEE Access, 2018, 6: 11349-11364.

    4. Zeyu Zhang, Lei Shu, Chunsheng Zhu, Mithun Mukherjee. A short review on sleep scheduling mechanism in wireless sensor networks[C]. Quality, Reliability, Security and Robustness in Heterogeneous Systems: 13th International Conference, QShine 2017, Dalian, China, December 16-17, 2017, Proceedings 13. Springer International Publishing, 2018: 66-70.

    3. Zeyu Zhang, Lei Shu, Amjad Mehmood, Li Yan, Yu Zhang. A short survey on fault diagnosis in wireless sensor networks. Wireless Internet: 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings 9. Springer International Publishing, 2018: 21-26.

    2. Wei Fang, Zeyu Zhang, Mithun Mukherjee, Lei Shu, Zhangbing Zhou. Energy-utilization aware sleep scheduling in green WSNs for sustainable throughput. IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2017: 4724-4727.

    1. 张泽宇， 郑方焱， 喻恒， 王隆进. 弧面凸轮廓面的新型通用算法[J]. 机械传动, 2013, 37(10): 51-54.. 

审稿中论文：（* 表示通讯作者）

    5. Xingyu Ji, Jiale Liu, Lu Li, Maojun Wang, *Zeyu Zhang. Verbalized Graph Representation Learning: A Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process. arXiv preprint arXiv:2410.01457, 2024

    4. Fang He, Jinhai Deng, Ruizhan Xue, Maojun Wang, *Zeyu Zhang. Mitigating Degree Bias in Signed Graph Neural Networks. arXiv preprint arXiv:2408.08508.

    3. Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Yifei Wang, Pengqian Han, Xianda Zheng, Qiqi Wang, Zijian Zhang. CSG: Curriculum Representation Learning for Signed Graph. arXiv preprint arXiv:2310.11083, 2023.

    2. Zeyu Zhang, Peiyao Zhao, Xin Li, Jiamou Liu, Xinrui Zhang, Junjie Huang, Xiaofeng Zhu. Signed Graph Representation Learning: A Survey.  arXiv preprint arXiv:2402.15980.

    1. Pengqian Han, Jiamou Liu, Jialing He, Zeyu Zhang, Song Yang, Yanni Tang, Partha Roop. ST CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction. arXiv preprint arXiv:2311.18198, 2023.

主持或参与部分项目如下：

    1. 华中农业大学自主科技创新基金，基于符号图神经网络的推荐系统关键技术研究，主持，2024/1 - 2026/12

    2. Marsden Fund Council, fast-start, MFP-UOA2123, Unsupervised spatio-temporal representation learning for dynamic graphs, 2022-01 至 2024-12, 160万元, 在研, 参与

    3. 中英国际联合工业网络设备故障诊断合作创新平台，150万，广东省普通高校国际暨港澳台合作创新平台及国际合作重大项目（自然科学），课题组成员

    4. “十二五”国家科技支撑计划项目“智慧城市管理公共信息平台关键技术研究与应用示范”其中子课题“智慧街道关键技术集成与应用示范”（2012BAJ05B07）课题中“消防安全预警系统”项目，课题组成员