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.

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)