About Me
I am a tenure-track associate professor at the University of Michigan –Shanghai Jiao Tong University Joint Institute of Shanghai Jiao Tong University. I am also affiliated with the Department of Electronic Engineering at SJTU. 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!) 2025-03-29: Congratulate Yu Liu for successfully graduating with a CS master’s degree. Yu will start a new journey at HKUST, Clear Water Bay. Good luck, Yu!
- (New!) 2025-03-27: Our survey paper on federated analytics is accepted by IEEE Communications Surveys & Tutorials! A milestone for our FA studies. Congrats, Zibo and Haichao.
- (New!) 2025-03-27: Our papers on compound LLM scheduling and mobile NeRF rendering are accepted by IEEE ICDCS 2025! Congrats, Botao and Zhe! Well deserved:)
- (New!) 2025-03-10: IEEE Communications Magazine accepts our paper on LLM-based network planning. Congrats, Sheng!
- (New!) 2025-03-01: JSAC accepts our paper on online learning-enabled video analytics. Congrats, Zekai. Good job!
- 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.