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. And 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

2026.01: I serve as a reviewer for ICML 2026 and ECCV 2026.
2025.11: 🎉🎉🎉One paper was accepted by AAAI 2026.
2025.11: I serve as a reviewer for CVPR 2026.
2025.09: 🎉🎉🎉Two papers were accepted by NIPS 2025.
2025.09: I joined Microsoft Research Asia (MSRA) as a research intern.
2025.08: I serve as a reviewer for AAAI 2026.
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

: Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models; Zitong Shi†, Guancheng Wan†, Haixin Wang, Ruoyan Li, Zijie Huang, Wanjia Zhao, Yijia Xiao, Xiao Luo, Carl Yang, Yizhou Sun, Wei Wang; in Neural Information Processing Systems (NeurIPS), 2025

: Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense; Zitong Shi, Guancheng Wan, Wenke Huang, Yuxin Wu, QUAN ZHANG, Mang Ye; in Association for the Advancement of Artificial Intelligence (AAAI), 2026

🎡 Service

Conference Committee Member

Reviewer for ICML’2025
Reviewer for AAAI’2026

Journal Reviewer

Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Reviewer for IEEE Transactions on Image Processing (TIP)

💼 Experience

Microsoft Research Asia
Internship, 2025.09 - 2025.11
Topic: Safety AI

📖 Education

2022.09 - Now
Undergraduate, School of Computer Science, Wuhan University