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张泽宇

硕士生导师
教师姓名:张泽宇
教师拼音名称:zhangzeyu
电子邮箱:
所在单位:信息学院
学历:研究生(博士)毕业
办公地点:第一综合楼b座401
性别:男
学位:理学博士学位
职称:副教授
在职信息:在职
毕业院校:奥克兰大学
所属院系:信息学院
其他联系方式

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个人简介

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


新西兰奥克兰大学毕业(QS2024排名68),计算机科学博士,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WWW, AAAI, SIGIR等 CCF A、B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WWW, KDD, ACMMM, ECAI,AAAI,CIKM等计算机顶级会议审稿人。主要从事数据挖掘、深度学习、可信图神经网络、生物信息分析等方面的研究。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)


    1. Lin Ni, Sijie Wang, *Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, and Ji amou Liu. Enhancing Student Performance Prediction on Learnersourced Questions with S GNN-LLM Synergy, AAAI 2024

    2. 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

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

    4, 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.

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

    6. 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.

    7. 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

    8. 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.

    9. 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.

    10. 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.

    11. 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.

    12. 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)


    1. 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, Shuyan Wan, Sijie Wang, Xianda Zheng, Xinrui Zhang, Kaiqi Zhao, Jiamou Liu, Dong Hao. Sga: A graph augmentation method for signed graph neural networks.  arXiv preprint arXiv:2310.09705, 202.

    3. 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, 2024.

    4. 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





教育经历

[1] 2018.9——2023.9
奥克兰大学 > 计算机科学 > 博士 > 理学博士学位

工作经历

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研究方向

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