First-year PhD student · USC
Muyan Weng 翁牧言
Hello! I’m a first-year PhD student at the Melady Lab, USC, advised by Prof. Yan Liu. Previously I earned my Bachelor’s degree in Computer Science and Technology (IEEE Pilot Class) from Shanghai Jiao Tong University (SJTU).
My research interests include machine learning and data mining, especially, time series problem. I am also interested in the interesting applications of LLMs in recommender system.

01 · Publications
Selected Publications
Coarse-to-Fine Multi-Resolution Diffusion Models for Trajectory Generation in Urban Systems

Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models
PrePrint
PrePrint
Toward Evolutionary Intelligence: LLM-based Agentic Systems with Multi-Agent Reinforcement Learning
Wei Yang, Muyan Weng, Jiacheng Pang, Defu Cao, Heng Ping, Peiyu Zhang, Shixuan Li, Yue Zhao, Qiang Yang, Mengdi Wang, Yan Liu.
Beyond Positive History: Re-ranking with List-level Hybrid Feedback
Muyan Weng*, Yunjia Xi*, Weiwen Liu, Bo Chen, Jianghao Lin, Weinan Zhang, Yong Yu.
Extracting Robust On-Manifold Interactions Encoded by Neural Networks
Jie Ren, Muyan Weng, Lu Chen, Tian Han, Quanshi Zhang.
02 · Research Experience
Research Experience
— Sep. 2025
Shanghai, China
APEX Lab, Shanghai JiaoTong University
Research Assistant, supervised by Prof. Weinan Zhang and Prof. Yong Yu.
Focus on data mining, including traditional recommendation system and Innovative use of LLM.
— Jun. 2023
Shanghai, China
XAI Lab, Shanghai JiaoTong University
Research Assistant, supervised by Prof. Quanshi Zhang.
Focus on the AI explainability.
03 · Internships
Internships
— Feb. 2025
Beijing, China
Taobao and Tmall Group, Alibaba Group Holding Limited
Research Intern, Algorithm Technology Department, supervised by Wen Chen.
Focus on the application of LLMs in recommendation system. The paper on our work is accepted by KDD 2025 [link].
04 · Services
Services
Conference Reviewer
- NeurIPS 2025–2026
- KDD 2026
- ICML 2026
- IJCAI 2026