教育经历
2005年-2009年 香港中文大学计算机科学与工程系 博士
2001年-2004年 华中科技大学控制科学与工程系 硕士
1997年-2001年 安徽大学自动化系 学士
工作经历
2022年6月-至今 复旦大学电子工程系 教授
2013年9月-2022年5月 复旦大学电子工程系 青年副研究员、副研究员
2009年11月-2012年5月 法国国家自动化与计算机研究院(INRIA)/Avignon大学博士后
研究方向
课题组近年来的研究聚焦在三个密切相关的方向上：
i) 大模型训练的网络基础设施
ii) 大模型推理系统设计
iii) 可信人工智能技术
主要成果
代表性论文发表在包括IEEE/ACM Trans. Networking, IEEE JSAC, USENIX NSDI, USENIX ATC, ACM Mobisys, ACM Mobihoc, ACM CoNEXT, IEEE Infocom等国际顶级期刊和会议上。
担任IEEE Trans. Network Science and Engineering 的 Associate Editor 并获得优秀编辑奖(2024)；担任 Mobihoc, IJCAI, ICDCS, ICNP, PAM, SECON, IWQoS 等著名会议的程序委员会委员。(曾)主持四项国家自然科学基金项目。荣获日本大川基金会研究助成奖(2019)、复旦大学本科生“我心目中的好老师”提名奖(2022)、上海唐君远教育基金会-教师君远奖(2023)、复旦大学比亚迪奖教金(2024十佳百优奖励)
招生专业
依托计算与智能创新学院招生，专业为计算机科学与技术。同时长期招收对人工智能系统、可信AI方向感兴趣的本科生和博士后。详细信息请访问 http://medianet.azurewebsites.net/
发表论文
近5年发表论文节选：
1.Zhiyi Yao, Zuning Liang, Yuedong Xu*, Hui Wang, Jin Zhao, Tong Li, "MemFerry: A Fast and Memory Efficient Offload Training Framework with Hybrid GPU Computation", Proc. of IEEE Infocom 2025.
2. Junkai Wang, Xutong Liu*, Jinhang Zuo, Yuedong Xu*, "Robust Contextual Combinatorial Multi-Armed Bandits for Unreliable Network Systems", Technical Report. Proc. of IEEE Infocom 2025.
3. Zhiyi Yao, Pengbo Hu, Congcong Miao, Xuya Jia, Zuning Liang, Yuedong Xu*, Junchen Jiang, et al., "Holmes: Localizing Irregularities in LLM Training with Mega-scale GPU Clusters", Proc. of USENIX NSDI 2025.
4. Junyi Zhang, Chuanhu Ma, Xiong Wang, Yuntao Nie, Yuqing Li, Yuedong Xu, Xiaofei Liao, Bo Li, Hai Jin, “PopFetcher: Towards Accelerated Mixture-of-Experts Training Via Popularity Based Expert-Wise Prefetch”, Proc. of USENIX ATC 2025.
5. Yining Zhang, Lei Jiao, Konglin Zhu, Yuedong Xu and Lin Zhang, "Carbon-Neutralizing Edge AI Inference for Data Streams via Model Control and Allowance Trading", Proc. of IEEE ICDCS 2025.
6. Xutong Liu, Jinhang Zuo, Junkai Wang, Zhiyong Wang, Yuedong Xu*, John C.S. Lui, "Learning Context-Aware Probabilistic Maximum Coverage Bandits: A Variance-Adaptive Approach", IEEE Infocom 2024.
7. Min Wen, Chengchang Liu, Yuedong Xu*, "Communication Efficient Distributed Newton Method over Unreliable Networks", AAAI 2024.
8. Zeqin Wang, Qingyang Duan, Yuedong Xu*, "An Efficient Bandwidth-Adaptive Gradient Compression Algorithm for Distributed Training of Deep Neural Networks ", Journal of Systems Architecture, 2024.
9. Ying Zheng, Lei Jiao*, Yuedong Xu*, Bo An, Xin Wang, Zongpeng Li, "Scheduling Generative-AI Job DAGs with Model Serving in Data Centers", Proc. of IEEE IWQoS 2024.
10. Ying Zheng, Lei Jiao*, Yuedong Xu*, Zongpeng Li, Xin Wang, et al. "Online Scheduling and Pricing for Multi-LoRA Fine-Tuning Tasks", Proc. of ACM ICPP 2024.
11. Haoyu Chen, Jin Zhao, Yuedong Xu, Xin Wang. "Gradient Free Personalized Federated Learning", Proc. of ACM ICPP 2024.
12. Zhiyi Yao, Bowen Ding, Qianlan Bai, Yuedong Xu*, "Minerva: Decentralized Collaborative Query Processing over InterPlanetary File System", IEEE Trans. Big Data, 2024.
13. Wenqi Pan, Chenhao Wang, Yuedong Xu, Jun Wu, "An eBPF-empowered Congestion Control System with Delay Requirements", IEEE Conf. Systems, Man and Cybernetes, 2024.
14. Xiangxiang DAI, Zeyu Zhang, Peng Yang, Yuedong Xu, Xutong Liu, John C.S. Lui, "AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics", Proc. of ACM Multimedia 2024.
15. Yuqing Yang, Lei Jiao, Yuedong Xu*, "A Queueing Theoretic Perspective on Low-Latency LLM Inference with Variable Token Length", Proc. of WiOpt 2024.
16. Wenqi Pan, Yuedong Xu*, Shaoteng Liu, "Making TCP BBR Pacing Adaptive with Domain Knowledge Assisted Reinforcement Learning", IEEE Trans. Network Science and Engineering, 2023.
17. Qingyang Duan, Chao Peng, Zeqin Wang, Yuedong Xu*, Shaoteng Liu, John C.S. Lui, "Accelerating Distributed DNN Training via Transport Layer Scheduling", IEEE Trans. Parallel and Distributed Systems, 2023.
18. Qianlan Bai, Yuedong Xu*, Nianyi Liu, Xin Wang, "Blockchain Mining with Multiple Selfish Miners", IEEE Trans. Information Forensics & Security, 2023.
19. Zeqin Wang, Min Wen, Yuedong Xu*, Jessie Hui Wang, Yipeng Zhou, Liang Zhang, "Communication Compression Techniques in Distributed Deep Learning: A Survey", Journal of Systems Architecture, 2023.
20. Chao Xu , Jessie Hui Wang , Jilong Wang , Tao Yu , Yipeng Zhou , Yuedong Xu, Di Wu , Changqing An, "Offloading Elastic Transfers to Opportunistic Vehicular Networks Based on Imperfect Trajectory Prediction", IEEE/ACM Trans. Networking, 2023.
21. Laizhong Cui, Erchao Ni, Yipeng Zhou, Zhi Wang, Lei Zhang, Jiangchuan Liu, Yuedong Xu, "Towards Real-Time Video Caching at Edge Servers: A Cost-Aware Deep Q-Learning Solution", IEEE Trans. Multimedia, 2022.
22. Qingyang Duan, Zeqin Wang, Yuedong Xu*, Shaoteng Liu, Jun Wu, "Mercury: A Simple Transport Layer Scheduler to Accelerate Distributed DNN Training", Proc. of IEEE Infocom 2022.
23. Simiao Jiao, Zihui Xue, Xiaowei Chen, Yuedong Xu*, "Sampling Graphlets of Multi-layer Networks: A Restricted Random Walk Approach", ACM Trans. The WEB.
24. Lei Wang, Weixi Mao, Jin Zhao, Yuedong Xu, "DDQP: A Double Deep Q-Learning Approach to Online Fault-Tolerant SFC Placement", IEEE Trans. Network Service and Management.
25. Zhe Chen, Xu Zhang, Sulei Wang, Yuedong Xu*, Jie Xiong, Xin Wang, "Enabling Practical Large-Scale MIMO in WLANs With Hybrid Beamforming", IEEE/ACM Trans. Networking, 2021.
26. Zhihao Gu, Taiwei He, Junwei Yin, Yuedong Xu*, Jun Wu, "TyrLoc: A Low-cost Multi-technology MIMO Localization System with A Single RF Chain", Proc. of ACM Mobisys 2021.
27. Qianlan Bai, Chao Zhang, Nianyi Liu, Xiaowei Chen, Yuedong Xu*, Xin Wang, "Evolution of Transaction Pattern in Ethereum: A Temporal Graph Perspective", IEEE Trans. Computational Social Systems, 2021.
28. Juncai Liu, Jessie Hui Wang, Chenghao Rong, Yuedong Xu, Tao Yu, Jilong Wang, "FedPA: An adaptively partial model aggregation strategy in Federated Learning", Elsevier Computer Networks, 2021.
29. Ying Zheng, Lixiang Lin, Tianqi Zhang, Haoyu Chen, Qingyang Duan, Yuedong Xu*, Xin Wang, "Enabling Robust DRL-driven Networking Systems via Teacher-Student Learning", IEEE JSAC 2021.
30. Ying Zheng, Haoyu Chen, Qingyang Duan, Lixiang Lin, Yiyang Shao, Wei Wang, Xin Wang, Yuedong Xu*, "Leveraging Domain Knowledge for Robust Deep Reinforcement Learning in Networking", Proc. of IEEE Infocom 2021.
31. Qianlan Bai, Chao Zhang, Yuedong Xu*, Xiaowei Chen, Xin Wang, "Evolution of Ethereum: A Temporal Graph Perspective", Proc. of IFIP Networking 2020, Poster.
32. Weixi Mao, Lei Wang, Jin Zhao, Yuedong Xu, "Online Fault-tolerant VNF Chain Placement: A Deep Reinforcement Learning Approach", Proc. of IFIP Networking 2020.
33. Xinyu You, Xuanjie Li, Yuedong Xu*, Hui Feng, Jin Zhao, Huaicheng Yan, "Toward Packet Routing with Fully-distributed Multi-agent Deep Reinforcement Learning", IEEE Trans. Systems, Man, and Cybernetics: Systems, 2020.
34. Zhihui Gao, Yunfan Gao, Sulei Wang, Dan Li, Yuedong Xu*, "CRISLoc: Reconstructable CSI Fingerprintingfor Indoor Smartphone Localization", IEEE Internet of Things Journal, 2020.
35. 郑莹、段庆洋、林利祥、游新宇、徐跃东、王新, "深度强化学习在典型网络系统中的应用综述", 无线电通信技术(邀请), 2020。
