Understand.
Create.
We study generative models, 3D reasoning, and how learning systems interact with the physical world.

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EMNLP · Oral2026
Language-model agents build machines as programs and refine them through physical simulation.

arXiv2026
Aligning video world models with actions a robot can execute.

NeurIPS2026
Aligning one-step image generators with preferences without differentiating through rewards.

SIGGRAPH Asia2026
From a single image to a 3D object with parts that move.

NeurIPS2025
Aligning generative flow models with rewards while preserving their learned priors.

arXiv2026
Reducing anatomical errors in generated human images through synthetic, localized preferences.

ICLR · Spotlight2023
Generating detailed 3D meshes directly with diffusion models.

ICLR · Oral2024
Reconstructing and generating 3D shapes, from solid objects to thin, open surfaces.
Team
Principal Investigator
PhD student
Zhou Jiang
PhD student
Jinming Ren
MPhil student
Yaocheng Guo
Master’s student
Xiangwei Shen
Master’s student
Zihao Zhou
Undergraduate
Zhuoran Xia
Undergraduate
Jinlong Yang
Undergraduate
Zigeng Xu
Undergraduate
External collaborators
Weiyang Liu
CUHK
Yandong Wen
Westlake University
Yuliang Xiu
Westlake University
Jie Fu
iQuestLab