Tianfu Wang

I am currently pursuing a M.S. degree in Computer Science at University of Science and Technology of China, under the supervision of Prof. Hui Xiong. I am also a research intern at Microsoft, mentored by Dr. Nicholas Jing Yuan and Dr. Jianxun Lian. Prior to this, I received my B.E. degree in Software Engineering from Chongqing University 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

Email | Github | Google Scholar | DBLP

What’s New

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!
- GenMentor Agentic LLM Framework for Goal-oriented Tutoring System (first-author, Oral) [🌐 Website]
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)