Wei Wang (王威)
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Associate ProfessorDepartment of Computer Science & Engineering ContactOffice: Room 2531 |
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 data-intensive 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.
To Perspective Graduate Students and Research Assistants
I am looking for highly motivated graduate students and research assistants (RAs) to work on measuring, analyzing, designing, and implementing large-scale distributed systems, including next-generation serverless computing platforms, distributed machine learning and data analytics frameworks, and intelligent cluster management systems using AI techniques. Students with strong hands-on system building skills and/or mathematical background are especially welcome.
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
Current Membership of Technical Program Committee
News
11/2023: Minchen will be joining the School of Data Science, CUHK-Shenzhen, as an Assistant Professor. Congratulations!
10/2023: Golgi selected as the Best Paper for ACM SoCC ’23. Congratulations to Suyi!
09/2023: Dordis accepted to ACM EuroSys ’24.
09/2023: Golgi accepted to ACM SoCC ’23.
08/2023: Congratulations to Minchen for successfully defending his PhD thesis!
04/2023: FGD accepted to USENIX ATC ’23.
04/2023: DeAR accepted to IEEE ICDCS ’23.
03/2023: Yunchuan successfully defended his MPhil thesis.
01/2023: Work on sparse GPU Kernels for accelerated GNN training accepted to IEEE IPDPS ’23.
01/2023: APF accepted to IEEE Trans. Parallel and Distributed Systems as an extended version of ICDCS ’21.
01/2023: LB-Chain accepted to IEEE Trans. Parallel and Distributed Systems.
12/2022: CoChain accepted to IEEE INFOCOM ’23.
12/2022: GIFT accepted to JSAC, special issue on Communication-Efficient Distributed Learning over Networks.
11/2022: Congratulations to Qizhen for successfully defending his PhD thesis!
09/2022: Three papers accepted to ACM SoCC ’22.
09/2022: DP-KFAC accepted to IEEE Trans. Cloud Computing.
Personal
I enjoy swimming and playing basketball. I am also an NBA fan.