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Dr. Sheng Wang

Professor of Computer Science

TOTEM Database Laboratory

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

中文主页, DBLP, Google Scholar, ORCID

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Student Hiring

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

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Biography

Sheng Wang holds a professorship in the School of Computer Science at Wuhan University, with a concurrent affiliation to the School of Artificial Intelligence. He obtained his Ph.D. from RMIT University, and both his Master of Engineering (M.E.) and Bachelor of Engineering (B.E.) degrees from Nanjing University of Aeronautics and Astronautics (NUAA).

His main research focuses on multi-model database theory and systems, with applications spanning scientific discovery, public transportation, and data markets. His work has received funding from sources including the National Natural Science Foundation of China (NSFC), the Ministry of Science and Technology (MOST), and various industrial partners.

He has authored more than 30 peer-reviewed papers published in top-tier conferences and journals such as SIGMOD and PVLDB. His research achievements have earned him several accolades, including the Best Paper Runner-up Award at IEEE BigData 2025, the Best Presentation Award at the 2021 CCF Wuhan Young Faculty CCF Wuhan Young Faculty Academic Forum, the Best Paper Award at ADC 2017, and the school-level victory in the 2016 3 Minute Thesis Competition.

In academic service, he regularly acts as a senior program committee (PC) member for CIKM and a program committee member for conferences like KDD, PVLDB, and ICDE. He was honored as an outstanding reviewer for KDD 2025 and serves as an associate chair for CIKM 2025. Additionally, he holds the position of Secretary-General of the CCF Wuhan Chapter.

Experiences

  • 2023-07-current: Professor at Wuhan University.

  • 2021-09-2023.06: Associate professor at Wuhan University.

  • 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

  • Fast and Fair Large-Scale Clustering (SIGMOD’24 & 23, PVLDB’26 & 25 & 21 & 20, ICDE’25).

  • Multi-modal Data Search (PVLDB’22, ICDE’25*2, ICDE’26, IPM).

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

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

Selected Awards

  • Best Paper Runner-up Award at IEEE BigData 2025

  • Outstanding Reviewer for ACM KDD 2025

  • 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 2023, 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.