Hi, I’m Shaoyi Zheng, currently a Ph.D. student in Computer Science at the Courant Institute of Mathematical Sciences, New York University, where I am advised by Prof. Shengjie Wang. I completed my undergraduate studies at NYU Shanghai, majoring in Computer Science with a minor in Mathematics.
My research began with a focus on Efficient Generative AI, where I developed algorithmic and architectural methods to accelerate diffusion models and large generative models without sacrificing quality. Building on this foundation, I am now working toward bridging AI and the physical world — exploring Embodied AI for robotic manipulation and physical-world tasks, and World Models that learn to understand and simulate physical dynamics. My broader vision is to make intelligent systems that not only generate but also perceive, reason about, and act in the real world.
A gearhead beginner.
“If a shot looks good, credit the camera.
If it doesn’t, that’s on me.”
Feedback & tips always welcome.