Kaifeng Guo
Data Science PhD Student · City University of Hong Kong
I work on large language models and recommender systems, with an interest in building practical machine learning systems that are robust, efficient, and useful in real-world settings.
About
I am a PhD student in Data Science at City University of Hong Kong, where I work with Prof. Xiangyu Zhao in the Applied Machine Learning Lab. I started the program in January 2026.
Before joining CityU, I received my bachelor's degree from Fuzhou University in 2025.
News
- Paper accepted to KDD 2026 Research Track May 2026 · Hierarchical Residual Policy Optimization for Generative Recommendations
Selected Publication
Hierarchical Residual Policy Optimization for Generative Recommendations
Kaifeng Guo, Yiming Yang, Jingtong Gao, Guolei Zeng, Fukang Yang, Yukang Liang, Peng Jiang, Qingpeng Cai, and Xiangyu Zhao.
KDD 2026 Research Track.
Research Interests
- Large Language Models
- Recommender Systems
- Practical Machine Learning
I am especially interested in methods that connect strong modeling performance with real-world usability.
Recent Experience
- Kuaishou, Beijing Research Intern · Oct 2025 - Present
- Applied Machine Learning Lab PhD Student · Jan 2026 - Present