Welcome to the AML Lab
Applied Machine Learning Lab (AML Lab) is a dynamic research group at the Department of Data Science in City University of Hong Kong. Our aim is to explore new methods and applications of Machine Learning and Data Mining, including
- Personalization, Recommender System, Search Engine, Online Advertising, and Information Retrieval
- Large Language Model, AGI, AutoML, Reinforcement Learning, Trustworthy AI, and Multimodal ML
- AI + X: Healthcare, Urban Computing & Smart City, Science, and Education
We are looking for passionate new Postdocs, PhD students, and Master students to join the team (more info) !
Funding and Institutional Support
News
Nov 2026
Our paper ‘Personalized Memory Rubrics: Learning What to Remember per User via Rubric-Guided Credit Assignment’ got accepted by WSDM’27 (Main Conference). Congratulations to Yupeng Han and Shuochen Liu!
Nov 2026
Our paper ‘RAGR: Review-Augmented Generative Recommendation’ got accepted by WSDM’27 (Findings). Congratulations to Yingyi Zhang, Junyi Li, Yejing Wang, Wenlin Zhang, Xiaowei Qian, Sheng Zhang, and Binhao Wang!
Nov 2026
Our paper ‘MLBCP: Multi-Layer Bias Cascade Purification for Popularity Bias Mitigation in Large-Scale Recommendations’ got accepted by WSDM’27 (Findings). Congratulations!