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
May 2026
Our paper ‘The Best of Both Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation’ got accepted by KDD’26 (ADS Track). Congratulations to Ziwei Liu, Yejing Wang, Wanyu Wang, Qidong Liu, and Zijian Zhang!
May 2026
Our paper ‘Generative Auto-Bidding in Large-Scale Auctions via Diffusion Completer-Aligner’ got accepted by KDD’26 (ADS Track). Congratulations to Jingtong Gao!
May 2026
Our paper ‘Hierarchical Residual Policy Optimization for Generative Recommendations’ got accepted by KDD’26. Congratulations to Kaifeng Guo and Jingtong Gao!