About me
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.
Selected Publications
| TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks |
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| Muyan Weng, Defu Cao, Wei Yang, Yashaswi Sharma, Yan Liu. |
| link, KDD 2026 |
| Coarse-to-Fine Multi-Resolution Diffusion Models for Trajectory Generation in Urban Systems |
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| Wen Ye, Muyan Weng, Chuizheng Meng, Hao Niu, Yizhou Zhang, Yan Liu. |
| link, KDD 2026 |
| Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning |
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| Wei Yang, Defu Cao, Jiacheng Pang, Muyan Weng, Yan Liu. |
| link, ICLR 2026 |
| Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models |
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| Yunjia Xi, Muyan Weng, Wen Chen, Chao Yi, Dian Chen, Gaoyang Guo, Mao Zhang, Jian Wu, Yuning Jiang, Qingwen Liu, Yong Yu, Weinan Zhang. |
| link, KDD 2025 |
| Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models |
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| Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang. |
| link, TORS 2025 |
PrePrint
| Toward Evolutionary Intelligence: LLM-based Agentic Systems with Multi-Agent Reinforcement Learning |
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| Wei Yang, Muyan Weng, Jiacheng Pang, Defu Cao, Heng Ping, Peiyu Zhang, Shixuan Li, Yue Zhao, Qiang Yang, Mengdi Wang, Yan Liu. |
| link |
| Beyond Positive History: Re-ranking with List-level Hybrid Feedback |
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| Muyan Weng, Yunjia Xi, Weiwen Liu, Bo Chen, Jianghao Lin, Weinan Zhang, Yong Yu. |
| link |
| Extracting Robust On-Manifold Interactions Encoded by Neural Networks |
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| Jie Ren, Muyan Weng, Lu Chen, Tian Han, Quanshi Zhang. |
Research Experience
- APEX Lab, Shanghai Jiao Tong University
- Research Assistant, supervised by Prof. Weinan Zhang and Prof. Yong Yu.
- Shanghai, China. Sep. 2023 - Sep. 2025
- Focus on data mining, including traditional recommendation system and Innovative use of LLM.
- XAI Lab, Shanghai Jiao Tong University
- Research Assistant, supervised by Prof. Quanshi Zhang.
- Shanghai, China. Sep. 2022 - Jun. 2023
- Focus on the AI explainability.
Internships
Services
- Conference Reviewer: NeurIPS 2025-2026, KDD 2026, ICML 2026, IJCAI 2026
