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Dr. Sheng Wang

Associate Professor of Computer Science

TOTEM Database Laboratory

Office: C502, School of Computer Science, Wuhan University, China

Linkedin, DBLP, Google Scholar, ORCID

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Student Hiring

I am looking for highly self-motivated Ph.D, master, and undergraduate students to work with me on spatial databases. Please contact me if you are interested.

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Biography

I am currently an associate professor at the School of Computer Science, Wuhan University. I am also a part of the TOTEM Database Laboratory. 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.

EXPERIENCE

  • 2019-09-2021-08: Smart cities postdoctoral research associate at New York University.

  • 2019-08-2019-09: Visiting scholar at Nanyang Technological University.

RESEARCH INTERESTS

  • Spatial Dataset Management (PVLDB’22).

  • Public Transport Planning (SIGMOD’21, TKDE, WSDM’19, ICDE’18).

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

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

Grants & Funding

  • SI, NSFC Youth Program (¥300,000).

  • SI, Oppo Research Grant (¥228,660).

  • SI, AntFinance Research Grant (¥350,000).

SELECTED AWARDS

  • Best presentation award at 2021 CCF Wuhan Young Faculty Academic Forum.

  • 2018 ACM SIGIR Student Travel Grant ($2000 USD).

  • Travel Scholarship for 2017 ACM 50th Celebration of the Turing Award ($900 USD).

  • School-level Winner of 3 Minute Thesis Competition in 2016.

  • School-level People's Choice Winner of 3 Minute Thesis Competition in 2016.

  • 2016 Outstanding Graduate of Nanjing University of Aeronautics and Astronautics.

  • 2016 Excellent Master Thesis Award of Nanjing University of Aeronautics and Astronautics.

PROFESSIONAL SERVICES

  • Journal Reviewer: TKDE (since 2019), VLDBJ (Since 2020), TIST (Since 2020), TNNLS (since 2019), WWWJ (since 2020)

  • PC Member: KDD 2022, PVLDB 2022, IJCAI 2021 2024, APWeb-WAIM 2020, ADC 2020, APWeb-WAIM 2019, MoBID@ER 2019, ADC 2019, ER 2018 (demo track), APWeb-WAIM 2018 (demo track), MLDQ@MDM 2019.

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