About Me

I am Shida Yan, a Ph.D. student in Data Science at City University of Hong Kong. I entered the program in Fall 2026 and conduct my research in AML Lab under the supervision of Prof. Xiangyu Zhao.

My research interests include AI agents, large language models, and machine learning.

Education

• City University of Hong Kong Ph.D. in Data Science, Sep. 2026 - Present
• University of Southern California M.S. in Applied Data Science, Aug. 2024 - May 2026
• Capital University of Economics and Business B.S. in Data Science and Big Data Technology, Sep. 2022 - Jun. 2024 B.S. in Mathematics and Applied Mathematics, Sep. 2018 - Jun. 2022

Publications

• Fine-Grained Sentiment Analysis of Movie Reviews Based on Machine Learning and Deep Learning Models, Shida Yan, Shaochen Cui, ACCTCS 2025.
• Long Document Summarization with Transformer Models: A Comparative Evaluation on the Gutenberg Dataset, Shida Yan, CIBDA 2025.
• Optimizing Federated Learning Efficiency: A Comparative Analysis of Model Compression Techniques for Communication Reduction, Shida Yan, CONF-MLA 2024.
• Evaluating the Temporal Generalization of TGAT for Link Prediction on Dynamic Wikipedia Graph, Shaochen Cui, Shida Yan, MSCS 2025.