Xingyi Yang

Tenure-Track Assistant Professor

Department of Data Science and Artificial Intelligence
The Hong Kong Polytechnic University

Presidential Young Scholar

I work on generative and multimodal systems for understanding, reconstructing, and interacting with spatial and dynamic physical worlds.

About

Hi, my name is Xingyi Yang (Adam). I am a Tenure-Track Assistant Professor in the Department of Data Science and Artificial Intelligence (DSAI) at The Hong Kong Polytechnic University. I am also honored to have been selected as a Presidential Young Scholar at PolyU.

I received my Ph.D. from the National University of Singapore (NUS), advised by Prof. Xinchao Wang. I also had a wonderful time 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 spans Machine Learning, Generative AI, and Computer Vision, with a focus on developing intelligent systems that can generate, reconstruct, reason about, and interact with dynamic physical worlds. My research and achievements have been recognized through the AAAI 2026 New Faculty Highlight, a NeurIPS 2022 Best Paper Honorable Mention, and Forbes 30 Under 30 Asia. I was also named among the Stanford/Elsevier World’s Top 2% Scientists (2026).

I am looking for self-motivated PhDs, postdocs, and RAs for 2027 Spring/Fall. Please see Opening. Email: xingyi.yang@polyu.edu.hk.

Research Glimpses

OminiControl controllable generation teaser — Generative AI **Controllable Creation**

World model teaser — World Models **Physical Intelligence**

GFlow 4D world reconstruction teaser — Embodied AI **Interactive Agents**

SparseD sparse diffusion teaser — Efficient AI **Sparse Diffusion**

I believe in Slow Science.