Zhenwei Tang
Scholar

Zhenwei Tang

Google Scholar ID: R46GZk0AAAAJ
PhD Candidate @ University of Toronto
Human Behavior ModelingMachine Learning
Citations & Impact
All-time
Citations
468
 
H-index
9
 
i10-index
8
 
Publications
16
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • - Passed the Thesis Topic Approval checkpoint, officially a PhD candidate now (Jul 2025)
  • - Maia Chess is now in open beta (Jul 2025)
  • - SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models was accepted by COLM 2025 (Jul 2025)
  • - Two extended abstracts about human behavior modeling in chess were accepted by IC2S2 2025 (Apr 2025)
  • - Passed the PhD Qualifying Exam (Dec 2024)
  • - Maia-2: A Unified Model for Human-AI Alignment in Chess was accepted by NeurIPS 2024 (Sep 2024)
  • - One paper was accepted by ACL 2024 Findings (May 2024)
  • - Two extended abstracts were accepted by IC2S2 2024 (Apr 2024)
  • - One paper was accepted by ISMB 2024 and Bioinformatics (Mar 2024)
  • - LQAC received an Honorable Mention for the Best Paper Award at ISWC 2023 (Nov 2023)
  • - Received the ISWC 2023 Travel Award (Sep 2023)
  • - One paper was accepted by ISWC 2023 (Jun 2023)
  • - One paper was accepted by ACL 2023 Findings (May 2023)
  • - Two papers were accepted by SIGIR 2023 (Apr 2023)
  • - One paper was accepted by Elsevier Information Processing and Management (IP&M) (Nov 2022)
  • - One paper was accepted by ECML-PKDD 2022 (Jun 2022)
  • - One paper was accepted by IJCAI 2022 (Apr 2022)
  • - One paper was accepted by WSDM 2022 (Oct 2021)
  • - One paper was accepted by KDD 2020 (May 2020)
Research Experience
  • - Faculty Affiliated Researcher, Vector Institute, Nov 2022 - Present, Toronto, Canada
  • - Visiting Scholar, L3S Research Center, Jun 2022 - Aug 2022, Hannover, Germany, Supervised by Prof. Robert Hoehndorf and Prof. Maria-Esther Vidal
  • - Research Intern, Institute of Computing Technology, Chinese Academy of Sciences, Jul 2020 - Jan 2021, Beijing, China, Supervised by Dr. Yongchun Zhu and Prof. Fuzhen Zhuang
  • - Research Intern, Baidu Research, Oct 2019 - Jun 2020, Beijing, China
Education
  • - Ph.D. in Computer Science, University of Toronto, Sep 2022 - Present, Supervisor: Prof. Ashton Anderson, Committee Members: Prof. Chris Maddison, Prof. Colin Raffel
  • - M.S. in Computer Science, King Abdullah University of Science and Technology (KAUST), Jan 2021 - May 2022, Supervisors: Prof. Xiangliang Zhang, Prof. Robert Hoehndorf
  • - B.S. in Electrical Engineering, Beijing University of Posts and Telecommunications, Sep 2016 - Jun 2020
Background
  • Research Interests: Human behavior modeling using AI/ML, particularly in strategic domains such as chess. Professional Field: Computer Science. Brief Introduction: PhD candidate at the University of Toronto, working with Prof. Ashton Anderson on the intersection of artificial intelligence and human cognition and behavior.
Miscellany
  • Enjoys sports and outdoor activities, including basketball, badminton, billiards, and cycling. Born in Shenyang, raised in Beijing. Transitioned to Toronto, feeling natural due to similar northern latitude and climate.