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 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 spans Machine Learning, Generative AI, and Computer Vision, with a particular focus on building intelligent systems that can generate, reconstruct, reason about, and interact with dynamic physical worlds. Recent recognitions include the AAAI 2026 New Faculty Highlight, a NeurIPS 2022 Best Paper Honorable Mention, and Forbes 30 Under 30 Asia.

Research Glimpses

GFlow 4D world reconstruction teaser — World Recovery

EquiGen spatial generation teaser — Spatial Generation

OminiControl controllable generation teaser — Controllable AI

SparseD sparse diffusion teaser — Sparse Diffusion

Test3R 3D reconstruction teaser — 3D Reconstruction

Open Positions

I am looking for self-motivated Ph.D. students, postdocs, and research assistants for Spring/Fall 2027. 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.

I believe in Slow Science.