I will be joining the College of Computing at the City University of Hong Kong as a Ph.D. student in Spring 2026. I am thrilled to continue my research under the supervision of Prof. Xiangyu Zhao, with whom I also had the privilege of working during my M.Sc. studies at CityU. My research focuses on the intersection of recommender systems, knowledge graphs, and large language models. I completed my undergraduate studies at Xiamen University.

Education

• City University of Hong Kong
  • Ph.D. in Data Science, College of Computing, Expected Start Jan. 2026
• City University of Hong Kong
  • M.Sc. in Data Science, College of Computing, Sep. 2024 - Expected Oct. 2025
  • Graduated with Distinction
• Xiamen University
  • B.Sc. in Mathematical Statistics, WISE, Sep. 2019 - Jun. 2023
  • Overall Ranking: Top 10%
  • B.Sc. in Chemistry, College of Chemistry and Chemical Engineering

Honors & Awards

• Conference Reviewer: ACM KDD 2026 (Datasets and Benchmarks Track), ACM CIKM 2025 (Short Papers)
• Second Prize, Fujian Provincial Level, Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM), Sep. 2021
• Third Prize, Fujian Provincial Level, China National College Student Mathematics Competition, Dec. 2020

Technical Skills

• Programming: Python (PyTorch, Recbole, Transformers, Scikit-learn, Pandas), R, SQL, C/C++
• Machine Learning Domains:
  • Recommender Systems: Sequential Rec, Multi-Modal Rec, KG-aware Rec, Temporal Point Processes.
  • Natural Language Processing: Foundational Models (BERT, GPT), RAG, Fine-tuning (LoRA).
  • Graph Learning: GNNs (GCN, GAT, GraphSAGE), Deep Graph Library (DGL).
• Core Techniques: Contrastive Learning, Multi-modal Fusion.