Hi, my name is Zitong Shi (Chinese: 史梓桐), a 4-year undergraduate student at Wuhan University. I have closely collaborated with Prof. Mang Ye, Prof. Carl J Yang, Guancheng Wan, and Wenke Huang. I am seeking PhD opportunities for Fall 2026.🔥🔥
🔍 Research
My academic exploration focuses on the deep analysis and dynamic relationship modeling of graph-structured data. Currently, my research is focused on:
- Large Language Models 🧠
- Multi-agent systems 🤖
- Graph learning 📍
🔥 News
- 2025.05: 🎉🎉🎉One paper was accepted by ICML 2025.
- 2025.01: 🎉🎉🎉One paper was accepted by ICLR 2025.
📃 Publications
† Equal Contribution
- Energy-based Backdoor Defense Against Federated Graph Learning
- Zitong Shi†, Guancheng Wan†, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye
- Oral Presentation (1.8%) in International Conference on Learning Representations (ICLR), 2025
- EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
- Zitong Shi†, Guancheng Wan†, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye
- in International Conference on Machine Learning (ICML), 2025
📝 Manuscripts
- Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
- under review
- Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
- under review
- Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense
- under review
🎡 Service
Conference Committee Member
- Reviewer for ICML’2025
Journal Reviewer
- Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- Reviewer for IEEE Transactions on Image Processing (TIP)
📖 Education
2022.09 - Now
Undergraduate, School of Computer Science, Wuhan University
Undergraduate, School of Computer Science, Wuhan University
