Wei Wang (王威)
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Associate ProfessorDepartment of Computer Science & Engineering Associate DirectorHKUST Big Data Institute ContactOffice: Room 2531, Main Academic Building |
About Me
I am an Associate Professor in the Department of Computer Science and Engineering and an Associate Director of HKUST Big Data Institute. 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.
My research interests cover the broad area of networking and distributed systems, with a special focus on distributed machine learning and data-intensive systems, AI cloud, and computer networks. I am particularly interested in identifying fundamental system design and performance optimization issues in large-scale AI cloud and distributed machine learning systems (for both training and inference) 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 AI systems, distributed machine learning frameworks for training and inference, and intelligent cluster management systems using AI technologies. 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
12/2024: One paper accepted to IEEE TDSC.
12/2024: One paper accepted to USENIX NSDI ’25.
12/2024: One paper accepted to IEEE INFOCOM ’25.
11/2024: Appointed as the Associate Director of HKUST-Alibaba Joint Laboratory on Big Data and AI.
09/2024: One paper accepted to NeurIPS ’24.
06/2024: Appointed as the Associate Director of HKUST Big Data Institute.
05/2024: Zhifeng successfully defended his PhD Thesis. Congratulations, Dr. Jiang!
05/2024: One paper accepted to ICML ’24.
03/2024: Lotto accepted to USENIX Security ’24.
02/2024: DTC-SpMM accepted to ACM ASPLOS ’24.
01/2024: Awarded the RGC's Collaborative Research Fund (CRF) 2023/24 for our project on serverless inference. Thanks RGC!
Personal
I enjoy swimming and playing basketball. I am also an NBA fan.