Published several papers, including pre-prints and conference/journal papers, such as 'A Survey of Personalization: From RAG to Agent', 'SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval', 'Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark', etc.
Research Experience
Works in the AML Lab, involved in multiple research projects, focusing on areas such as recommender systems and the application of large language models in information retrieval.
Education
Received M.S. from Xi’an Jiaotong University in 2022 and B.Eng. in 2019; currently a Ph.D. student at City University of Hong Kong, supervised by Prof. Xiangyu Zhao.
Background
Currently a 3rd-year Ph.D. student at City University of Hong Kong, with research interests in Data Mining and Machine Learning. Specific areas include Recommender Systems, LLMs for Information Retrieval, and Personalized RAG.