Xingyi Yang

πŸš€πŸ‘¨β€πŸ’»πŸ₯πŸ’‘Hi, my name is Xingyi Yang (Adam)πŸ’‘πŸ₯πŸ‘¨β€πŸ’»πŸš€.

I am a Tenure-Track Assistant Professor in the Department of Data Science and Artificial Intelligence (DSAI). I am also honored to have been selected as the prestigious Presidential Young Scholars at PolyU.

I received my Ph.D. from the National University of Singapore (NUS), advised by Prof. Xinchao Wang. I also had a wonderful experience as a visiting Ph.D. student at the University of Oxford, working with Prof. Philip Torr. Prior to that, I completed my Master’s at UC San Diego (UCSD) and my Bachelor’s at Southeast University (SEU).


My research lies at the intersection of generative AI and multi-modal learning, with a strong emphasis on their computational efficiency. Our mission is to build intelligent systems that robustly understand, generate, and interact with physical worlds. We hope to achieve this with minimum cost, by tapping and repurposing the rich capabilities of large foundation models through modular, compositional, and post-training techniques.


πŸ’₯ Hiring! πŸ’₯

I am looking for self-motivated Ph.D. students, postdocs, and research assistants for Spring/Fall 2026. For more details, please see Opening. If you are interested in working with me, feel free to reach out via email at x3yang@outlook.com with your resume.

PS: Please do not use my NUS email as it will be expiring soon!

CV

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