Experience

  1. Intern, Recommendation Systems – Re-ranking Team

    Kuaishou
    Developed a user social role modeling framework that leverages multimodal large language models to extract video theme tags and audience information, followed by LLM-based inference for user role reasoning. Constructed user social role logic graphs as augmentation signals for recommendation models to better capture interest migration and diversity needs.

Education

  1. PhD in Computer Science

    University of Amsterdam

    PhD in Computer Science at the University of Amsterdam, the Netherlands.

    Advisor: Prof. dr. Maarten de Rijke.

    Research on LLM-empowered and trustworthy recommender systems, focusing on generative recommendation, LLM agents as surrogate users, and safety and robustness in high-risk domains such as news recommendation.

  2. Combined M.E.–Ph.D. Program in Computer Science

    University of Science and Technology of China

    Combined M.E.–Ph.D. program in Computer Science, Hefei, China.

    Advisor: Prof. dr. Xiangnan He.

    Worked on recommendation algorithms with knowledge graphs, bias reduction, and interactive recommendation.

  3. B.E. in Communication Engineering

    Southwest Jiaotong University

    Undergraduate studies in Communication Engineering, Chengdu, China.

    Advisor: Prof. dr. Haiyong Xie.

Skills & Hobbies
Technical Skills
Python & PyTorch
Recommender Systems & LLM Agents
Machine Learning & Deep Learning
Other
Scientific Writing & Reviewing
Teaching & Mentoring
Awards
Languages
90%
English
100%
Mandarin (mother tongue)