Wenqi FAN
Scholar

Wenqi FAN

Google Scholar ID: SQ9UbHIAAAAJ
Assistant Professor, The Hong Kong Polytechnic University (PolyU)
Recommender SystemsLarge Language Models (LLM)Trustworthy AIGraph Neural NetworksData Mining
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Citations & Impact
All-time
Citations
7,861
 
H-index
34
 
i10-index
64
 
Publications
20
 
Co-authors
19
list available
Contact
GitHubOpen ↗LinkedInOpen ↗
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Recognized as AI 2000 Most Influential Scholar Honorable Mention (2022, 2023, 2024, 2025); One of the World’s Top 2% Scientists by Stanford University (2023, 2024, 2025); Research supported by multiple government research fund agencies, including Hong Kong Research Grants Council (RGC-GRF), National Natural Science Foundation of China (NSFC), Hong Kong Innovation and Technology Commission (ITF), etc.; Published in highly ranked journals and top conference proceedings; Early Career Researcher (Individual) Award (2025); Multiple papers accepted by ACM WSDM 2026, IEEE ICDE 2026, ACM TOIS, EMNLP 2025, IEEE TKDE, ACL 2025, KDD 2025, etc.
Research Experience
  • Currently an Assistant Professor at the Department of Computing (COMP) & Department of Management and Marketing (MM), The Hong Kong Polytechnic University (PolyU); Was a Research Assistant Professor and Postdoctoral Fellow at PolyU (2020-2023).
Education
  • Ph.D. in Computer Science from City University of Hong Kong (2017-2020), supervised by Prof. Qing LI and Prof. Jianping WANG; Research Scholar at Data Science and Engineering (DSE) Lab, Michigan State University (2018-2021), supervised by Prof. Jiliang Tang.
Background
  • Research Interests: Data Mining, Machine Learning, and Artificial Intelligence, with a particular focus on Recommender Systems (RecSys) and Management Information Systems (MIS), Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), Agentic AI, Trustworthy AI (Safety, Fairness, Explainability, etc.), Graph Machine Learning (Graph Neural Networks, Graph Foundation Models), and AI/ML/DM + X (Business, Science, Healthcare).
Miscellany
  • Welcome to contact if interested in interdisciplinary research, especially in Data Mining/Machine Learning/Artificial Intelligence.
Co-authors
19 total
Jiliang Tang
Jiliang Tang
University Foundation Professor of Computer Science and Engineering, Michigan State University
Yao Ma
Yao Ma
Assistant Professor of Computer Science, Rensselaer Polytechnic Institute
Dawei Yin
Dawei Yin
Senior Director, Head of Search Science at Baidu
Liangbo Ning
Liangbo Ning
Department of Computing, The Hong Kong Polytechnic University
Shijie Wang
Shijie Wang
PhD Candidate, The Hong Kong Polytechnic University
Xiaorui Liu
Xiaorui Liu
Assistant Professor of Computer Science, North Carolina State University
Wei Jin
Wei Jin
Assistant Professor, Emory University
Jianping Wang
Jianping Wang
Fellow of IEEE, Fellow of AAIA, Chair Professor, City University of Hong Kong