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
Oct 2026
Our paper ‘Self-Evolving Agentic Workflows via Semantic Decomposition of Complex Tasks’ got accepted as a Spotlight at the IAB workshop at NeurIPS’26 (Competition Track). Congratulations to Zichuan Fu, Junjia Qi, Wenlin Zhang, Yimin Deng, and Kaifeng Guo!
Sep 2026
Our paper ‘Memory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies’ got accepted by NeurIPS’26. Congratulations to Yi Wen, Derong Xu, Pengyue Jia, Yingyi Zhang, Junyi Li, Wenlin Zhang, and Xiaopeng Li!
Sep 2026
Our paper ‘TrajEvolve: Trajectory Evolution for Reinforcement Learning with Hindsight Credit Assignment’ got accepted by NeurIPS’26. Congratulations to Yi Wen, Pengyue Jia, Derong Xu, Yingyi Zhang, and Wenlin Zhang!