Sibo WANG

Associate Professor
Department of Systems Engineering and Engineering Management
The Chinese University of Hong Kong

Address: Room 507, William M. W. Mong Engineering Building, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
  Email:
    Tel: (852)3943-8310

I am/was the organizer of the following conferences/workshops:

• Session Chair at the SIGMOD Conference (2021, 2023) and the VLDB Conference (2020, 2021, 2023, 2024);
• Workshop Chair at the ICDE 2022 Conference;
• Round-Table Session Chair at the VLDB 2021 Conference.

I am/was a program committee member for the following conferences/workshops:

• ACM SIGMOD International Conference on Management of Data (SIGMOD): 2026, 2027;
• International Conference on Very Large Data Bases (VLDB): 2020-2025, 2026 (Associate Editor), 2027;
  • Distinguished Associate Editors for VLDB 2026
• ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD): 2019-2026;
  • Best Reviewers for SIGKDD 2026
• The Web Conference (WWW): 2020-2026;
  • Outstanding Reviewers for WWW 2023
• International Conference on Data Engineering (ICDE): 2021-2027;
  • Outstanding Reviewers for ICDE 2024 
• International Conference on Extending Database Technology (EDBT): 2026, 2027;
• ACM International Conference on Web Search and Data Mining (WSDM): 2023-2026, 2027 (Meta reviewer);
• International Joint Conference on Artificial Intelligence (IJCAI): 2020, 2023, 2024;
• AAAI Conference on Artificial Intelligence (AAAI): 2021, 2022;
• SIAM International Conference on Data Mining (SDM): 2022, 2024;
• ACM International Conference on Information and Knowledge Management (CIKM): 2019, 2021-2025;
• International Conference on Database Systems for Advanced Applications (DASFAA): 2019-2025, 2026 (Meta reviewer);

I am/was also the invited reviewer for the following journals:

• ACM Transactions on Database Systems (TODS),
• International Journal on Very Large Data Bases (VLDBJ),
• IEEE Transactions on Knowledge and Data Engineering (TKDE),
• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
• ACM Transactions on Knowledge Discovery from Data (TKDD).

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