Tianfu Wang

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I am an incoming Ph.D. student at the AI Trust of the Hong Kong University of Science and Technology (Guangzhou) (HKUST (GZ)) under the supervision of Prof. Hui Xiong, starting in August 2025. Currently, I am a research intern at Microsoft, mentored by Dr. Nicholas Jing Yuan and Dr. Jianxun Lian. Previously, I received my M.S. degree from USTC in 2025 under the supervision of Prof. Hui Xiong, and my B.E. degree from CQU in 2022.

My research interests include Data Mining and Decision Intelligence, particularly in:

  • Large Language Model, Reinforcement Learning and Graph Neural Network
  • Social Computing, Combinatorial Optimization on Networking and FinTech

🤖 I am focused on the foundations of AI agents and their applications in society and education.

💌 Please feel free to contact me if you would like to explore potential discussions or collaborations.

 Email   |    Github   |    Google Scholar   |    DBLP

What’s New

  • 2025.04: One paper is accepted by IJCAI-2025!
    • :sparkles: CodeAgent  LLM-based Student Behavior Simulation for Programming Learning (co-author)
  • 2025.01: One paper is accepted by WWW-2025!
    • :star2: GenMentor  Agentic LLM Framework for Goal-oriented Tutoring System (first-author, Oral) [🌐 Website]
  • 2024.11: One paper is accepted by ICDE-2025!
    • :sparkles: Similar Subtrajectory Search Considering Constraints and Simplification (co-author)
  • 2024.11: One paper is accepted by VLDB-2025!
    • :sparkles: Data-Aware Distance Estimation for Nearest Neighbor Search (co-author)
  • 2024.10: One paper is accepted by VLDB-2025!
    • :star2: MILLION  Direct Optimization for Risk-controllable Portfolio Management (co-first-author)
  • 2024.05: One paper is accepted by KDD-2024!
    • :star2: COMET  Wallet Profiling with Temporal GNN for NFT Price Prediction (first-author)
  • 2024.04: Two papers are accepted by IJCAI-2024!
    • :star2: FlagVNE  Meta RL for Generalizable Network Resource Allocation (first-author)
    • :sparkles: Over-smoothing of GNN in Recommendation System (co-author)
Show More
  • 2023.12: One paper is accepted by 电子学报!
    • ✨ Imitation Learning for Network Resource Allocation (co-author)
  • 2023.10: One paper is accepted by TSC!
    • ⭐ HRL-ACRA  Hierarchal RL for Online Network Resource Allocation (first-author)
  • 2023.07: One paper is accepted by MM-2023!
    • ✨ RL-based Diffusion Model for Profit-oriented NFT Generation (co-author)