Menglin Yang
Yale University, 10 Hillhouse Avenue, New Haven, CT, USA.
About
Background. I am currently a Postdoc at Yale University, working with Prof. Rex Ying. Prior to that, I obtained my Ph.D. from The Chinese University of Hong Kong, supervised by Prof. Irwin King.
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 has been working 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 if you have anything you would like to discuss.
Besides, I will join Thrust of Artificial Intelligence at HKUSTGZ as an assistant professor in 2025. Information about PhD student recruitment can be found at pages in Chinese Version, or English Version.
New papers, blogs, and books on the hyperbolic representation and deep learning topic 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
- KDD ’23
- ICML ’23
- KDD ’22
- WWW ’22
- Survey ’22