Previously, I worked with
Prof. Yue Wang
at USC and collaborated closely with
Prof. Marco Pavone. I received my M.S. and B.S. degrees from Shanghai Jiao Tong University.
RealWonder turns a single image into an interactive scene using a controllable video model. By incorporating physics, it enables physically grounded 3D interactions.
A toolchain and benchmark suite for hyper-realistic visual locomotion, building high-fidelity digital twins of real-world environments for closed-loop evaluation.
OmniRe is a holistic framework for dynamic scene reconstruction that provides comprehensive coverage, including static backgrounds, driving vehicles, and non-rigidly moving dynamic actors.
We proposed a diffusion-based pipeline that generates complete 360
panoramas using one or more unregistered NFoV images captured from arbitrary
angles.
This pipeline not only delivers superior quality panoramas but also offers a
broader range of outcomes due to its text-conditioned generation capability.
Our L-Tracing based reflectance factorization framework produces photo-realistic novel view images with nearly 10x speedup, compared with the same framework applying volumetric integration for light visibility estimation.
Open-source
A 3DGS codebase for dynamic urban scene reconstruction and simulation, featuring different Gaussian representations for rigid actors (vehicles) and non-rigid actors (pedestrians, cyclists, etc.). Supported datasets include Waymo, PandaSet, ArgoVerse2, KITTI, NuScenes, NuPlan.
Recent Talks
OmniRe: Omni Urban Scene Reconstruction
MIT, Visual Computing Seminar, Oct 2024
Peking University, Hyperplane Lab, Oct 2024
LiAuto, Sept 2024
Honors & Awards
Stanford Graduate Fellowship, Stanford, 2025
National Scholarship, Shanghai Jiao Tong University, 2023