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, Online Advertising, Search Engine, and Information Retrieval
- Urban Computing, Smart City, GeoAI, Spatio-Temporal Data Analysis, and Location-Based Social Networks
- Large Language Model, Reinforcement Learning, AutoML, AGI, Graph Learning, Trustworthy AI, and Multimodal ML
- AI + X: Education, Healthcare, Carbon Neutral, Social Computing, E-commerce, Finance, and Ecosystem
We are looking for passionate new Postdocs, PhD students, and Master students to join the team (more info) !
Funding and Institutional Support
News
Nov 2025
Our paper ‘Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization’ got accepted by AAAI’26 (Oral). Congratulations to Yuanshao Zhu and Zijian Zhang!
Nov 2025
Our paper ‘Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval’ got accepted by AAAI’26 (Oral). Congratulations to Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Wenlin Zhang, and Xiaopeng Li!
Nov 2025
Our paper ‘Renormalization Group Guided Tensor Network Structure Search’ got accepted by AAAI’26 (Poster). Congratulations to Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang, and Pengyue Jia!