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
Jul 2026
Our paper ‘BRIDGE: Bridging Reasoning In Distillation Gap Elimination via Structure-Aware Masking’ got accepted by SDM’26. Congratulations to Bowen Yu, Sheng Zhang, Binhao Wang, Yi Wen, Jingtong Gao, Bowen Liu, Zimo Zhao, and Maolin Wang!
Jul 2026
Our paper ‘Timeline Granularity Transformation: Aligning Narrative Logic with Temporal-Semantic Evolution’ got accepted by SDM’26. Congratulations to Chenlong Bao and Maolin Wang!
Jul 2026
Our paper ‘Empowering Cross-Domain Sequential Recommendation with Hybrid Tokenization and Serial-Parallel Decoding’ got accepted by RecSys’26. Congratulations to Yuxuan Hu, Yuhao Wang, Chao Zhang, and Ziwei Liu!