Tianfu Wang
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 am currently a research intern at Tencent, with previous research experience at Microsoft AI/ 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.
🌱 I seek to answer: How can we build socially aware AI agents that empower humans to thrive?
💌 Please feel free to contact me if you would like to explore potential discussions or collaborations.
Email | Github | Google Scholar | DBLP
What’s New
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2026.01: One paper is accepted by ICLR-2026!- 🌟 Virne A Comprehensive Simulator and Benchmark for RL-based NFV Resource Allocation (first author)
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2025.11: One paper is accepted by KDD-2026!- ✨ HumanLLM Personalized Understanding and Simulation of Human Nature (co-author)
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2025.10: One paper is accepted by ICDE-2026!- ✨ TopFGL Topology-Aware and Distribution-Agnostic Federated Graph Learning Framework (co-author)
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2025.09: One paper is accepted by NeurIPS-2025!- ✨ A Cognitive Framework for Unveiling the Learning Mind of Language Models(co-author)
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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)
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2025.08: One paper is accepted by JSA!- ✨ RL-based Computation Task Scheduling in Autonomous Multi-Robot Systems (co-author)
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2025.08: One paper is accepted by TGCN!- ✨ IKENGA Infeasibility Knowledge and RL-Enhanced Genetic Algorithm for Network Resource Allocation (co-author)
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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)
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2025.04: One paper is accepted by IJCAI-2025!- ✨ CodeAgent LLM-based Student Behavior Simulation for Programming Learning (co-author)
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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]
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2024.11: One paper is accepted by ICDE-2025!- ✨ Similar Subtrajectory Search Considering Constraints and Simplification (co-author)
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2024.11: One paper is accepted by VLDB-2025!- ✨ Data-Aware Distance Estimation for Nearest Neighbor Search (co-author)
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2024.10: One paper is accepted by VLDB-2025!- 🌟 MILLION Direct Optimization for Risk-controllable Portfolio Management (co-first-author)
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2024.05: One paper is accepted by KDD-2024!- 🌟 COMET Wallet Profiling with Temporal GNN for NFT Price Prediction (first-author)
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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)
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2023.12: One paper is accepted by 电子学报!- ✨ Imitation Learning for Network Resource Allocation (co-author)
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2023.10: One paper is accepted by TSC!- 🌟 HRL-ACRA Hierarchal RL for Online Network Resource Allocation (first-author)
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2023.07: One paper is accepted by MM-2023!- ✨ RL-based Diffusion Model for Profit-oriented NFT Generation (co-author)
Selected Publications
Agentic AI
- EvoDiagram: Agentic Editable Diagram Creation via Design Expertise EvolutionIn ,
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