Wei Wang (王威)
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Assistant 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 big data and machine learning systems, cloud computing, and computer networks. I am particularly interested in identifying fundamenal system design and performance optimization issues in large-scale cloud systems and searching for solutions that are generally applicable, efficient, and easily implementable.
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 implementing large-scale networked systems, including distributed machine learning and data analytics frameworks, cluster caching systems, cloud datacenters, and wide-area network. Students with strong hands-on system building skills and/or mathematical background are especially welcomed. 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
News
12/2019: Two papers have been accepted to appear in IEEE IPDPS ’20.
12/2019: RepBun has been accepted to IEEE INFOCOM ’20.
11/2019: One paper has been accepted to ACM PPoPP ’20.
11/2019: We have released a cluster trace generator that synthesizes DAG jobs based on the Alibaba cluster traces. Refer to our SoCC ’19 paper for details.
10/2019: Yinghao joined Alibaba Cloud Container Platform as a Senior Software Engineer (P7) under the A-Star (阿里星) program. Congratulations!
9/2019: The extended version of LRC has been accepted to appear in IEEE Trans. Cloud Comput.
9/2019: Trace analysis on Alibaba's DAG workloads has been accepted to ACM SoCC ’19.
8/2019: Yinghao has successfully defended his PhD thesis. Congratulations to Dr. Yu!
7/2019: Yunchuan was selected as the recipient of the Huawei PhD Fellowship. Congratulations!
7/2019: The extended version of SP-Cache has been accepted to appear in IEEE Trans. Parallel Distrib. Syst.
6/2019: One paper has been accepted to ACM APSys ’19.
4/2019: MArk has been accepted to USENIX ATC ’19.
3/2019: LACS and CMFL have been accepted to IEEE ICDCS ’19.
2/2019: Awarded as one of the Distinguished TPC members of IEEE INFOCOM ’19.
11/2018: R2SP has been accepted to IEEE INFOCOM ’19.
8/2018: Continuum has been accepted to ACM SoCC ’18 (also reported by The Morning Paper).
Personal
I enjoy swimming and playing basketball. I am also an NBA fan.