• [2006-2009]：[香港中文大学] [计算机科学] [博士学位]

• [2001-2004]：[华中科技大学] [控制理论与控制工程] [硕士学位]

• [1997-2001]：[安徽大学] [自动化] [学士学位]

工作经历

• [2022-Now]：[复旦大学] [信息科学与工程学院/计算与智能创新学院] [教授]

• [2016-2021]：[复旦大学] [信息科学与工程学院] [副研究员]

• [2013-2015]：[复旦大学] [信息科学与工程学院] [青年副研究员]

• [2012-2013]：[香港中文大学] [计算机科学与工程系] [博士后]

• [2009-2012]：[法国国家自动化与计算机研究院] [博士后]

徐跃东，博士，复旦大学计算与智能创新学院教授、博导。博士毕业于香港中文大学计算机科学与工程系。主要研究方向为机器学习系统，(曾)主持国家自然科学基金项目4项，在NSDI、ATC、Mobisys、Mobihoc、CoNEXT、Infocom、NeurIPS、ICLR、ToN、JSAC等顶级期刊/会议发表论文30余篇，担任IEEE Trans. Network and Science的副编辑。欢迎大模型训练和推理系统、智能体系统、人工智能安全的科研合作与优秀学生报考，部分研究成果工业界落地。

Representative Publications：

[Zhiyi Yao, Pengbo Hu, Congcong Miao, and Xuya Jia, Zuning Liang, Yuedong Xu, Chunzhi He, Hao Lu, Mingzhuo Chen, Xiang Li], [Holmes: Localizing Irregularities in LLM Training with Mega-scale GPU Clusters], [USENIX NSDI], [2025]*

[Leyi Ye, Zhiyi Yao, Boliang Liu, Yuedong Xu*, Hui Wang, et al.] [A Self-updating Checkpointing and Fast Failure Recovery System for Distributed LLM Training], [IEEE Infocom], [2026]

[Zhiyi Yao, Zuning Liang, Yuedong Xu, and Jin Zhao, Jessie Hui Wang, Tong Li], [MemFerry: A Fast and Memory Efficient Offload Training Framework with Hybrid GPU Computation], [IEEE Infocom], [2025]*

[Ming Wen, Jiaqi Zhu, Yuedong Xu, and Yipeng Zhou, Dingding Han], [Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix], [NeurIPS], [2025]*

[Qingyang Duan, Chao Peng, Zeqin Wang, and Yuedong Xu, Shaoteng Liu, Jun Wu, John CS Lui], [Accelerating Distributed DNN Training via Transport Layer Scheduling], [IEEE TPDS], [2023]*

Research Awards：

[2025]: [Shanghai Program of Shanghai Academic/Technology Research Leader|上海市东方英才拔尖计划], [Shanghai Municipal Government], [First Completed Person]

[2022]: [Shanghai Science and Technology Progress Award|上海市科技进步一等奖], [Shanghai Municipal Government], [Fifth Completed Person]

[2019]: [Japan Okawa Foundation Research Grant|日本大川基金会研究助成奖], [The Okawa Foundation for Information and Telecommunications], [First Completed Person]