Tianfu Wang

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I am a 1st-year Ph.D. student at the AI Trust of the Hong Kong University of Science and Technology (Guangzhou) (HKUST(GZ)) supervised by Prof. Hui Xiong and Dr. Nicholas Jing Yuan. 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. I have also been a research intern at Microsoft / MSRA and JD Explore Academy.

My research interests include Agentic AI and Data Mining, particularly in:

  • AI Agent, Reinforcement Learning and Large Language Model
  • Social Computing, Combinatorial Optimization on Networking

💡 I am passionate about practical research that explores innovative applications and production-ready solutions.

🤖 Recently, I focus on the foundations of AI agents and their applications in productivity, society and creation.

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

 Email   |    Github   |    Google Scholar   |    DBLP

What’s New

  • 2025.11: One paper is accepted by KDD-2026!
    • ✨ HumanLLM  Personalized Understanding and Simulation of Human Nature (co-author)
  • 2025.10: One paper is accepted by ICDE-2026!
    • ✨ TopFGL  Topology-Aware and Distribution-Agnostic Federated Graph Learning Framework (co-author)
  • 2025.09: One paper is accepted by NeurIPS-2025!
    • ✨ A Cognitive Framework for Unveiling the Learning Mind of Language Models(co-author)
  • 2025.08: Two papers are accepted by EMNLP-2025!
    • ✨ TokenSelect  Token-Level KV Cache Selection for LLM Long-Context Inference (co-author)
    • ✨ Explaining Length Bias in LLM-Based Preference Evaluations (co-author)
  • 2025.08: One paper is accepted by JSA!
    • ✨ RL-based Computation Task Scheduling in Autonomous Multi-Robot Systems (co-author)
  • 2025.08: One paper is accepted by TGCN!
    • ✨ IKENGA   Infeasibility Knowledge and RL-Enhanced Genetic Algorithm for Network Resource Allocation (co-author)
  • 2025.07: One paper is accepted by ICML-2025 Workshop on ML4Wireless with Best Paper Award!
    • 🌟 CONAL  Constraint-aware Learning for Robust Network Resource Allocation (first author, Award, 1 / 33 accepted papers)
  • 2025.04: One paper is accepted by IJCAI-2025!
    • ✨ CodeAgent  LLM-based Student Behavior Simulation for Programming Learning (co-author)
  • 2025.01: One paper is accepted by WWW-2025 as Oral Representation!
    • 🌟 GenMentor  Agentic LLM Framework for Goal-oriented Tutoring System (first-author, Oral) [🌐 Website]
Show More
  • 2024.11: One paper is accepted by ICDE-2025!
    • ✨ Similar Subtrajectory Search Considering Constraints and Simplification (co-author)
  • 2024.11: One paper is accepted by VLDB-2025!
    • ✨ Data-Aware Distance Estimation for Nearest Neighbor Search (co-author)
  • 2024.10: One paper is accepted by VLDB-2025!
    • 🌟 MILLION  Direct Optimization for Risk-controllable Portfolio Management (co-first-author)
  • 2024.05: One paper is accepted by KDD-2024!
    • 🌟 COMET  Wallet Profiling with Temporal GNN for NFT Price Prediction (first-author)
  • 2024.04: Two papers are accepted by IJCAI-2024!
    • 🌟 FlagVNE  Meta RL for Generalizable Network Resource Allocation (first-author)
    • ✨ Over-smoothing of GNN in Recommendation System (co-author)
  • 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)