Best Paper Award at ICML-2025 Workshop on ML4Wireless (first author, 1 out of 33 accepted papers): 'CONAL: Constraint-aware Learning for Robust Network Resource Allocation'
Oral Presentation at WWW-2025 (first author): 'GenMentor: Agentic LLM Framework for Goal-oriented Tutoring System'
KDD-2024 (first author): 'COMET: Wallet Profiling with Temporal GNN for NFT Price Prediction'
IJCAI-2024 (first author): 'FlagVNE: Meta RL for Generalizable Network Resource Allocation'
VLDB-2025 (co-first author): 'MILLION: Direct Optimization for Risk-controllable Portfolio Management'
Multiple papers accepted at top venues including ICDE, NeurIPS, EMNLP, IJCAI, VLDB, KDD, MM, and Acta Electronica Sinica, covering AI agents, LLM inference optimization, federated graph learning, NFT prediction, and network resource allocation
Background
1st-year Ph.D. student at the AI Trust of the Hong Kong University of Science and Technology (Guangzhou) (HKUST(GZ)), starting in August 2025, supervised by Prof. Hui Xiong
Currently a research intern at Microsoft, mentored by Dr. Nicholas Jing Yuan and Dr. Jianxun Lian
Research interests include Data Mining and Agentic AI
Specific topics: AI Agents, Reinforcement Learning, Large Language Models, Social Computing, Combinatorial Optimization on Networking
Passionate about practical research that explores innovative applications and production-ready solutions
Recently focusing on the foundations of AI agents and their applications in society and education