Wei Wang (王威)

Wei Wang's photo 

Associate Professor

Department of Computer Science & Engineering
The Hong Kong University of Science & Technology
Clear Water Bay, Kowloon, Hong Kong


Office: Room 3524
Tel: +852 2358 6972
E-mail: weiwa [at] cse [dot] ust [dot] hk
Web: https://cse.hkust.edu.hk/~weiwa

About Me

I joined HKUST in 2015 after receiving the Ph.D. degree from the Department of Electrical and Computer Engineering, University of Toronto. Prior to that, I obtained the B.Eng. and M.Sc. degrees from Shanghai Jiao Tong University. I am also affiliated with HKUST Big Data Institute.

My research interests cover the broad area of networking and distributed systems, with a special focus on big data and machine learning systems, cloud computing, and computer networks. I am particularly interested in identifying fundamental system design and performance optimization issues in large-scale cloud and distributed systems and searching for solutions that are generally applicable, efficient, and easily implementable.

Wei's Curriculum Vitae.

To Perspective Students, Postdocs, and Research Assistants

I am looking for highly motivated graduate students, postdocs, and/or research assistants (RAs) to work on measuring, analyzing, designing, and building large-scale networked systems, including distributed machine learning and data analytics frameworks, next-generation serverless computing platforms, cluster caching systems, and cloud datacenters. Students with strong hands-on system building skills and/or mathematical background are especially welcome. Stipend is highly competitive and will be commensurate with qualifications and experience.

If you are interested in working with me, please feel free to drop me an email along with your CV, transcripts, standard test reports (e.g., TOEFL, GRE, IELTS, etc.), and any other documents that you believe can well demonstrate your research capability and potential.

Professional Services

Please consider submitting your work to the following venues.

Current Membership of Technical Program Committee


  • 08/2021: Morphling, Citadel, and George have been accepted to ACM SoCC ’21.

  • 07/2021: Gillis was selected as the Best Paper Runner Up of IEEE ICDCS 2021 (3 out of 489 submissions).

  • 07/2021: Promoted to Associate Professor with Tenure!

  • 06/2021: Luping has successfully defended his PhD thesis. Congrats to Dr. Wang!

  • 06/2021: Machine learning workload analysis in Alibaba GPU clusters has been accepted to USENIX NSDI ’22.

  • 04/2021: CrystalPerf has been accepted to USENIX ATC ’21.

  • 03/2021: Chengliang has successfully defended his PhD thesis. Congrats to Dr. Zhang!

  • 03/2021: Gillis and APF have been accepted to IEEE ICDCS ’21.

  • 11/2020: Congratulations to Luping for landing an Alibaba Star (阿里星) offer!

  • 10/2020: A survey paper on communication optimizations in distributed deep learning has been accepted in IEEE Network Magazine.

  • 08/2020: LB-BSP has been accepted to ACM SoCC ’20

  • 06/2020: The extended version of MArk has been accepted to appear in IEEE Trans. Cloud Comput.

  • 06/2020: Metis has been accepted to SC20.

  • 04/2020: BatchCrypt has been accepted to USENIX ATC ’20.

  • More…


I enjoy swimming and playing basketball. I am also an NBA fan.