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
Aug 2026
Our paper ‘R²-Searcher: Calibrating Retrieval and Reasoning Boundaries for Agentic Search’ got accepted by CIKM’26. Congratulations to Sheng Zhang, Junyi Li, Wenlin Zhang, Xiaowei Qian, Yichao Wang, Yingyi Zhang, and Maolin Wang!
Aug 2026
Our paper ‘QA-Merging: Query-Adaptive Reasoning via Layer Selective Model Merging’ got accepted by CIKM’26. Congratulations!
Aug 2026
Our paper ‘OPERA: Option-level Pedagogical Explanation via Reasoning for Augmented Knowledge Tracing’ got accepted by CIKM’26. Congratulations to Zhiwei Huang, Xueyi Li, and Jiaqi Zheng!