Dr. Sheng Wang (王胜)

Associate Professor@Wuhan University

Postdoc@New York University

Ph.D. in Computer Science



Linkedin, DBLP, Google Scholar, ORCID, My NYU Homepage, Microsoft Academic

I am currently an associate professor at Wuhan University. My interests are mainly on spatial database. I have published full research papers on top venues in database and information systems as the first author, such as SIGMOD, PVLDB, ICDE, SIGIR, WSDM, TKDE, and ACM Computing Surveys.

Please visit my new homepage here:



  • 2021-8-19: I will serve as a PC at WSDM 2022.

  • 2021-1-19: I will serve on the review board for PVLDB 2022.

  • 2020-12-10: Our work "Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand" is accepted to SIGMOD 2021 directly without revision.

  • 2020-11-30: Our latest survey on trajectory data management, analytics, and learning is accepted to ACM Computing Surveys.

  • 2020-11-28: I will give a guest lecture on clustering at Prof. Juliana Freire's Big Data Course.

  • 2020-9-15: Our work "On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection" is accepted to VLDB 2021.

  • 2020-8-25: I am invited to serve as a PC member for IJCAI 2021.

  • 2020-3-25: Our latest survey on trajectory data management, analytics, and learning is online.

  • 2019-9-27: I gave a 15 mins talk about my research at CUSP seminar, check the slides here.

Research Interests

  • Spatial dataset management: search, discovery, privacy, and decision making.

  • Fast Large-Scale Clustering. (PVLDB’20, PVLDB'21)

  • Trajectory Data Management (SIGMOD’18, SIGIR’18, WSDM’18, ICDE’17).

  • Real-Time Smart Cities (TKDE, WSDM’19, ICDE’18).


  • 2019-09-present: Smart cities postdoctoral research associate at New York University.

  • 2019.08-2019-09: Visiting scholar at Nanyang Technological University.

Selected Awards

Professional Services