Zeyu Zhang  

Joint Associate Professor  

College of Informatics & College of Engineering, Huazhong Agricultural University  

Master’s Supervisor / Co-PhD Supervisor, Agricultural Artificial-Intelligence Plus Program  

Email: zhangzeyu@mail.hzau.edu.cn  

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Ph.D. in Computer Science, University of Auckland, New Zealand (QS 2025 #65).  

Supervisors: Prof. Bakh Khoussainov (Member, European Academy & Royal Society of New Zealand) and A/Prof. Jiamou Liu.  

Joined HZAU in September 2023.  

In the past three years, published **7 first-author or corresponding-author papers** at CCF-A conferences including NeurIPS, WWW, AAAI, SIGIR, IJCAI.  

Participated in **2 Marsden Fund projects**, **1 MoST Key project**, **1 provincial key project**, and **1 university innovation fund**.  

Regular reviewer for TKDE, TKDD, TNNLS, NeurIPS, ICLR, ICML, WWW, KDD, AAAI, etc.  

Research interests: **AI for Science** and **Trustworthy Deep Learning**.  

Highly motivated students who are enthusiastic about deep learning, AI, and interdisciplinary bioscience research are welcome to contact me.  

Personal homepage: https://alex-zeyu.github.io  

Google Scholar: https://scholar.google.com/citations?user=P5aygEcAAAAJ&hl=en  

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**Representative Publications** (* = corresponding, # = equal contribution)  

22. 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. **Neural Networks 2025** (CCF-B, HZAU-B).  

21. #Chenyu Wang, #Chaoying Zuo, #Zihan Su, Yuhang Xing, Lu Li, *Maojun Wang, *Zeyu Zhang. Deep Learning and Explainable AI: New Pathways to Genetic Insights. **ECAI 2025** (CCF-B).  

20. Wanli Li, Tieyun Qian, Yi Song, *Zeyu Zhang, *Jiawei Li, Zhuang Chen, Lixin Zou. Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. **SIGIR 2025** (CCF-A).  

19. #Xuehan Tian, #Ruipeng Wang, Zhenping Liu, Sifan Lu, Xinyuan Chen, Zeyu Zhang, Fang Liu, Hongbin Li, Xianlong Zhang, Maojun Wang. Widespread impact of transposable elements on the evolution of post-transcriptional regulation in the cotton genus *Gossypium*. **Genome Biology 2025** (CAS-Q1, HZAU-A).  

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, CAS-Q1, HZAU-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, 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** (CCF-C, HZAU-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 2024** (CAS-Q3).  

10. Zeyu Zhang, *Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, 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, *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. **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.  

… (papers 4–1 omitted for brevity; full list on homepage)  

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**Under Review / arXiv Pre-prints** (* = corresponding)  

5. #Yingjun Wu, #Jingyun Huang, #Liang Ming, Pengcheng Deng, *Maojun Wang, *Zeyu Zhang. DeepPlantCRE: A Transformer-CNN Hybrid Framework for Plant Gene Expression Modeling and Cross-Species Generalization. arXiv:2505.09883  

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

3. #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:2410.01457  

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

1. Zeyu Zhang et al. Signed Graph Representation Learning: A Survey. arXiv:2402.15980  

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**Selected Grants**  

1. HZAU Science & Technology Self-Innovation Fund, “Key Technologies for Recommendation Systems Based on Signed Graph Neural Networks”, PI, 2024-01 – 2026-12.  

2. Marsden Fund Council (NZ) fast-start MFP-UOA2123, “Unsupervised Spatio-Temporal Representation Learning for Dynamic Graphs”, NZD 1.6 M, 2022-01 – 2024-12, participant.  

3. UK–China Joint Industrial Platform for Intelligent Network Equipment Fault Diagnosis, CNY 1.5 M, Guangdong Provincial Major International Cooperation Project, member.  

4. National Key Technology R&D Program sub-project “Smart-Street Key Technology Integration & Demonstration” (Fire-Prevention Warning System), member.  

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**Student Projects Supervised**  

1. “Prediction and Evolutionary Analysis of *Gossypium* Transcriptional Regulatory Elements Based on Deep Learning”, provincial undergraduate innovation program, 2025, CNY 8 000.  

2. “Bridging Molecular Evidence and Biological Insights: A Large-Language-Model Approach for Plant Gene Function Inference”, HZAU undergraduate sci-tech innovation grant, 2025, CNY 30 000.