Hello, my name is Mingyi Li (李铭祎) and it’s my pleasure to welcome you to my personal webpage. I’m currently working towards my Ph.D. degree at Institute of Intelligent Computing (IIC) , Shandong University (SDU), supervised by Prof. Xiao Zhang, and Prof. Dongxiao Yu. Prior to pursuing my doctoral studies, I completed my B.S. degrees in Computer Science and Technology from the Shandong university in 2022.

My research interest includes FL or DL theory in resource-limited edge environment and the distributed optimization theory.

📝 Publications (Google scholar)

Conference Papers

Generalization-Aware Distributed Minimax Optimization for Large-Scale Models on Resource-Limited Devices.
Proceedings of the 21st International Conference on Mobility, Sensing and Networking (MSN 2025, CCF-C, Best Paper Award)
Mingyi Li, Xiao Zhang*, Yuan Yuan, Yifei Zou, Shaoyong Guo, Xiuzhen Cheng, Dongxiao Yu*
DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion. Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026, CCF-A)
Ruisheng Zheng, Mingyi Li, Xiao Zhang*, Hongjian Shi, Yanjie Fu, Yuan Yuan, Dongxiao Yu
PDUDT: Provable Decentralized Unlearning under Dynamic Topologies [paper]
Proceedings of the 42nd International Conference on Machine Learning (ICML 2025, CCF-A)
Jing Qiao, Yu Liu, Zengzhe Chen, Mingyi Li, Yuan Yuan, Xiao Zhang, Dongxiao Yu
Resource-Aware Federated Self-Supervised Learning with Global Class Representations [paper]
Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems (Neurips 2024, CCF-A)
Mingyi Li, Xiao Zhang*, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu*
Federated Dynamic Graph Fusion Framework for Remaining Useful Life Prediction [paper]
International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA 2024, CCF-C)
Jun Wang, Qi Wang, Mingyi Li, Xiao Zhang*, Dongxiao Yu*
Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity [paper]
Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023, CCF-A)
Yangyang Wang, Xiao Zhang*, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng, Dongxiao Yu*
Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes [paper]
IEEE International Conference on Data Mining (ICDM 2023, CCF-B)
Mingyi Li, Xiao Zhang*, Haochao Ying, Yang Li, Xu Han, Dongxiao Yu*

Journal Papers

TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data [paper]
Accepted to Appear in IEEE Transactions on Services Computing, 2025, CCF-A
Qi Wang, Xiao Zhang, Mingyi Li, Yuan Yuan, Mengbai Xiao, Fuzhen Zhuang, and Dongxiao Yu
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients [paper]
Accepted to Appear in IEEE Transactions on Mobile Computing, 2025, CCF-A
Yan Li, Mingyi Li, Xiao Zhang*, Guangwei Xu, Feng Chen, Yuan Yuan, Yifei Zou, Mengying Zhao, Jianbo Lu, and Dongxiao Yu*

Under review

Distributed Bilevel Optimization with Dual Pruning for Resource-limited Clients [paper]
arxiv
Mingyi Li, Xiao Zhang, Ruisheng Zheng, Hongjian Shi, Yuan Yuan, Xiuzhen Cheng, and Dongxiao Yu

💻 Services

Conference Reviewer for NeurIPS (2024, 2025); ICLR (2026).

🎖 Honors and Awards

2025.12 MSN 2025 Best Paper Award
2024.10 NeurIPS 2024 Scholar Award
2022.06 Excellent Graduate, Department of Education, Shandong Province, China
2021.10 National Scholarship, Ministry of Education, China

📖 Educations

2022.09 - now, Ph.D. in Computer Science and Technology. Shandong University.
2018.09 - 2022.06, B.E. in Computer Science and Technology. Shandong University.