Menglin Yang
HKUST-GZ

About
Background. I am currently an assistant professor at Thrust of Artificial Intelligence at HKUSTGZ. I am also an Affiliated Assistant Professor of the department of Computer Science & Engineering at The Hong Kong University of Science and Technology, Hong Kong. I was a Postdoc at Yale University, working with Prof. Rex Ying. Before that, I obtained my Ph.D. from The Chinese University of Hong Kong, supervised by Prof. Irwin King (IEEE & ACM Fellow).
Information about PhD student recruitment can be found on pages in Chinese Version, or English Version.
If you represent a company and seek collaboration, kindly e-mail me.
Research Interests. My research is primarily focused on exploring the connection and alignment between the learning space, especially the hyperbolic space, and the underlying geometries, structures, and patterns in different types of data.
Recently, I have been working on the following topics:
(1) Hyperbolic representation learning, curvature adaptive learning, differential geometry
(2) Foundation models, generative model, alignment across multi-source data, non-Euclidean space for foundation models
(3) Recommender systems, network sciences, and AI4SCI
Feel free to reach out to menglinyang[at]hkust-gz.edu.cn
or digailab[at]outlook.com
if you have anything you would like to discuss.
New papers, blogs, and books on hyperbolic representation and deep learning topics are shared in the following slack channel and GitHub repo. Welcome to join and share more on this fascinating research:
Selected Publications
- KDD ’24
- Preprint ’24
- ICML ’23
- KDD ’22