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
Apr 2026
Our paper ‘MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search’ got accepted by ACL’26 Main Conference. Congratulations to Sheng Zhang, Yingyi Zhang, Pengyue Jia, Wenlin Zhang, and Maolin Wang!
Apr 2026
Our paper ‘GeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models’ got accepted by ACL’26 Main Conference. Congratulations to Pengyue Jia and Yingyi Zhang!
Apr 2026
Our paper ‘MTA: A Merge-then-Adapt Framework for Personalized Large Language Models’ got accepted by ACL’26 Main Conference. Congratulations to Xiaopeng Li, Wanyu Wang, Wenlin Zhang, Pengyue Jia, Yingyi Zhang, and Maolin Wang!