Yifei Zhu

Assistant Professor

University of Michigan–Shanghai Jiao Tong University Joint Institute

Shanghai Jiao Tong University

Office: Rm 440, Longbin Building, 800 Dongchuan Road, Shanghai

Email: yifei.zhu[at]sjtu[dot]edu[dot]cn

About Me

I joined the University of Michigan –Shanghai Jiao Tong University Joint Institute at Shanghai Jiao Tong University as a tenure-track assistant professor since May 2020. I am also affiliated with the Department of Electronic Engineering at SJTU. Before that, I received my Ph.D. degree in Computing Science from Simon Fraser University in 2020, supervised by Prof. Jiangchuan Liu. I received my M.Phil degree from Hong Kong University of Science and Technology in 2015, supervised by Prof. Bo Li, and my B.Eng. degree from Xi’an Jiaotong University in 2012.

Research Interests

  • Cloud/edge computing
  • Multimedia networking and systems
  • Distributed machine learning systems
  • E-health and e-energy

Recent News

  • (New!) 2024-04-15: Our paper on drone-sourced video analytics is accepted in IEEE/ACM IWQoS 2024
  • (New!) 2024-03-29: Congratulate Qiying for completing her master’s degree! Great job!
  • (New!) 2024-03-12: Our paper on fair federated bandits is accepted in IEEE TBD 2024. Congratulations Zibo
  • (New!) 2023-12-01: Our two papers on privacy budgeting scheduling and federated analytics are accepted in IEEE INFOCOM 2024
  • More in News

Prospective Students

I am always looking for self-motivated students (undergrads, tentative master’s, Ph.D. students, and Postdocs) who are interested in doing research in the broad areas of networked systems and their optimizations, including edge computing, multimedia networking, distributed machine learning systems, etc. Please send me an email with your CV and transcript if you are interested.

Selected Publications

  • Z Wang, Y Zhu, D Wang, Z Han. “FedFPM: A Unified Federated Analytics Framework for Collaborative Frequent Pattern Mining“, in IEEE INFOCOM, 2022
  • D Wang, S Shi, Y Zhu, Z Han. “Federated Analytics: Opportunities and Challenges”, in IEEE Network, 2021.
  • M Zhang, Y Zhu, C Zhang, J Liu. “Video Processing with Serverless Computing: A Measurement Study”, in ACM NOSSDAV, 2019.
  • Y Zhu, SD Fu, J Liu, Y Cui. “Truthful Online Auction Towards Maximized Instance Utilization in the Cloud”, in IEEE/ACM Transaction on Networking, 2018.
  • Y Zhu, J Liu, Z Wang, C Zhang. “When Cloud Meets Uncertain Crowd: An Auction Approach for Crowdsourced Livecast Transcoding”, in ACM Multimedia, 2017.
  • Y Zhu, J Jiang, B Li, B Li. “Rado: A Randomized Auction Approach for Data Offloading via D2D Communication”, in IEEE MASS, 2015.