Experience

Education and industry experience in recommender systems, LLM applications and evaluation.

Education

M.S., College of Computer Science and Software Engineering, Shenzhen University

Computer Science and Technology; advised by Prof. Weike Pan. My SIGIR 2026, KDD 2025 and FCS recommendation research was conducted during my master's studies.

B.E. in Computer Science and Technology, Shantou University

Advised by Prof. Lin Zheng.

Work Experience

Recommendation Algorithm Engineer, Vipshop

Recommender Systems

Working on recommendation algorithms for e-commerce.

Recommendation Algorithm Engineer Intern, Kuaishou Technology

Commercialization Algorithm · Local-life Short-video Recommendation
  • Designed LLM-aligned semantic item IDs using co-occurrence relations and RQ-VAE, and integrated them into an MMoE ranking model.
  • Developed geographic-density-based sampling and LLM-aligned semantic embeddings for POI tokenization and behavior sequence modeling; this research later appeared at AAAI 2026.

Data Engineering / Algorithm Intern, Tencent TEG

Data Platform Department · LLM Evaluation Team
  • Evaluated Hunyuan LLM across NLP fundamentals, generation, multi-turn dialogue, reasoning, domain knowledge and safety.
  • Conducted the TencentLLMEval work in August 2023, including GPT-4 based automatic evaluation prompts and a three-level task taxonomy covering 7 domains, 200+ categories and 800+ tasks; the paper was published in ACM TIST in August 2026.