Yuedong Xu

• Yuedong Xu 徐跃东

• Professor, Advisor of MediaNet Group

• Office: Interdisciplinary Science Building, Jiangwan Campus, Fudan University

• E-mail: ydxu@fudan.edu.cn

• Research Interests:

  • LLM training and inference systems
  • Parallel pretraining systems
  • Reinforcement learning systems
  • Inference optimization
  • Multi-modal LLM alignment

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Yuedong Xu is a Professor with College of Computer Science and Artificial Intelligence, Fudan University, China. He received the BS degree from Anhui University, the MS degree from Huazhong University of Science and Technology, and the PhD degree from The Chinese University of Hong Kong. After graduation, he worked as a MENRT Postdoctoral fellow in INRIA Sophia Antipolis (not far away from Nice and Cannes) and Université d’Avignon, France (a small but beautiful city famous for its Lavender and Festival d’Avignon). He received the OKAWA Foundation research grant in 2019, and several teaching awards such as Shanghai Tang-Junyuan educational foundation teacher award (2023), Fudan BYD teacher award (2024), Shanghai Program of Shanghai Academic/Technology Research Leader (2025). He serves as an associate editor for IEEE Transactions on Network Science and Engineering. His areas of interests include foundation model training and inference systems, and multimedia networking. He has published a number of papers in premier conferences and journals including USENIX NSDI, USENIX ATC, ACM Mobisys, ACM CoNEXT, ACM Mobihoc, IEEE Infocom, IEEE/ACM ToN and IEEE JSAC.

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