About me
Hello! I’m a first-year PhD student at the Melady Lab, USC. 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, recommender system and information retrieval. I am also interested in the interesting applications of LLMs in recommender system.
Selected Publications
| 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
| 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 JiaoTong University
- Research Assistant, supervised by Prof. Weinan Zhang and Prof. Yong Yu.
- Shanghai, China. Sep. 2023 - Present
- Focus on dataming, including traditional recommendation system and Innovative use of LLM.
- XAI Lab, Shanghai JiaoTong University
- Research Assistant, supervised by Prof. Quanshi Zhang.
- Shanghai, China. Sep. 2022 - Jun. 2023
- Focus on the AI explainability.
Internships
