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

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）

    18. Peiyao Zhao, Xin Li, Zeyu Zhang, Mingzhong Wang, Xueying Zhu, Lejian Liao, Robust Deep Signed Graph Clustering via Weak Balance Theory. WWW 2025 (CCF A).

    17. Yiru Pan, Xingyu Ji, Jiaqi You, Lu Li, Zhenping Liu, Xianlong Zhang, *Zeyu Zhang, *Maojun Wang. CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations. Briefings in Bioinformatics 2025 (CCF B)

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

    15. 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 (CCF A).

    14. 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 (CCF A).

    13. 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 (CCF A).

    12. 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 (CCF C)

    11. Guanhua Zhu, Qianhui Zhao, Zeyu Zhang, Quansi Huang, Ming Cheng. Character region extraction of wheel water meter based on object detection. Flow Measurement and Instrumentation

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

    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 (CCF A).

    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 (CCF A).

    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 (CCF B).

    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）

    7. Ruizhan Xue, Huimin Deng, Fang He, Maojun Wang, Zeyu Zhang. Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy. arXiv preprint arXiv:2502.08353

    6. Zeyu Zhang, Lu Li, Xingyu Ji, Kaiqi Zhao, Xiaofeng Zhu, Philip S. Yu, Jiawei Li, Maojun Wang. Enhancing Signed Graph Neural Networks through Curriculum-Based Training. arXiv preprint arXiv:2310.11083

    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