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About Me

I am a Ph.D. candidate at the School of Computing, City University of Hong Kong, supervised by Prof. Chen Ma. My research focuses on Trustworthy Decisions, Data Valuation, and Large Language Models for Operations Research (LLMs for OR). My recent work spans explainable operations research, recommendation diversification, Shapley-value-driven data pruning, and self-evolving agents.

I received my M.S. degree in Software Engineering from the School of Computer Science and Engineering, Sun Yat-sen University, where I was supervised by Prof. Yubao Liu on graph-based sequential recommendation. I obtained my B.S. degree in Software Engineering from the Software College, Northeastern University, where my academic enlightenment advisor was Prof. Guibing Guo, and I followed him to work on explainable recommendation.

Research Interests

• Trustworthy decision making and data valuation

• Large language models for operations research and self-evolving agents

• Explainable/diversified recommendation and graph-based sequential recommendation

News

• [05/2026] Two papers on optimization modeling and retrieval-augmented LLM compression have been accepted to ICML 2026.

• [03/2026] SAC-Opt has been accepted to AIMS 2026 at ICLR 2026.

• [09/2025] Started a visiting student position at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).

• [05/2025] One paper about explainable diversity in recommendation has been accepted to ECML PKDD 2025.

• [05/2025] One paper about data pruning by Shapley values in recommendation has been accepted to KDD 2025.

• [01/2025] One paper about explainable operations research with large language models has been accepted to ICLR 2025.

• [01/2025] One paper about cross-domain sequential recommendation has been accepted to TOIS 2025.

• [03/2024] One paper about diversity in search and recommendation has been accepted to TKDE 2024.