Hi, I’m Zitong Shi (Chinese: 史梓桐), a fourth-year undergraduate student at Wuhan University. Starting in Fall 2026, I will join the National University of Singapore as a PhD student in Computer Science, advised by Prof. Tung Kum Hoe Anthony. My current research primarily focuses on agent memory, with a particular interest in deploying memory-augmented agents in real-world settings, and I am also actively working on graph learning, with an emphasis on secure and efficient learning over graph-structured data.🔥🔥

🔍 Research

My academic exploration focuses on the deep analysis and dynamic relationship modeling of graph-structured data. Currently, my research is focused on:

• Agent Memory System/Memory Enhancement 🤖
• Graph learning 📍

🔥 News

• 2026.06: I received the Lei Jun Breakthrough Scholarship (Department-Wide: 3/649).
• 2026.05: I was invited to server as a reviewer for NeurIPS 2026.
• 2026.01: I was invited to server 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 NeurIPS 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