Wei Wang (王威)
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Associate ProfessorDepartment of Computer Science & Engineering ContactOffice: Room 3524 |
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
Please consider submitting your work to the following venues.
Current Membership of Technical Program Committee
News
10/2021: Congratulations to Qizhen for receiving an Alibaba Star (阿里星) offer!
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.
Personal
I enjoy swimming and playing basketball. I am also an NBA fan.