I am currently a final-year Ph.D. candidate at the CVML group of the National University of Singapore (NUS), supervised by Prof. Angela Yao. Before joining NUS, I earned both my Master’s and Bachelor’s degrees at the VIPL research group of the Institute of Computing Technology (ICT), University of Chinese Academy of Sciences (UCAS), under the guidance of Prof. Xilin Chen and Prof. Ruiping Wang.
My research focuses on controllable video generation and human-centric 3D/4D vision. I study how to recover and decouple human motion, camera trajectories, and scenes from videos, and use these factors as independently editable controls to compose coherent videos. Building on this work, I am interested in world modeling and its potential applications to embodied intelligence. Previously, my master’s research explored semantic-guided few-shot learning.
Download my resumé.
Research Intern · Baidu AMU
Jul 2025 – Sep 2026
PhD in CS, 2022-Present
School of Computing (SoC), National University of Singapore (NUS)
MSE in CS, 2019-2022
Institute of Computing Technology (ICT), University of Chinese Academy of Sciences (UCAS)
Exchange Program, 2018
École Polytechnique Fédérale de Lausanne (EPFL)
B.Eng in CS, 2015-2019
University of Chinese Academy of Sciences (UCAS)
[Sep 25, 2026]: ONE-SHOT was accepted to NeurIPS 2026!
[Feb 2026]: HumanBA was accepted to CVPR 2026!
[Jul 2025]: I joined Baidu as a research intern, working on controllable video generation.
[Jun 2025]: Humans-as-Checkerboards was accepted to ICCV 2025!
[Feb 2024]: KITRO was accepted to CVPR 2024!
[Oct 2022]: One paper was accepted to WACV 2023!
[Aug 2022]: I joined CVML research group, SoC, NUS as a PhD. student!
[Oct 2021]: One paper was accepted to WACV 2022!
[Jun 2020]: Winner of “NI” Track in CVPR2020 CLVision Workshop Challenge!
[Sept 2019]: I joined the VIPL research group, ICT, CAS as a Master student!
Python, C/C++
PyTorch, Diffusers
Diffusion / Flow Matching
DiT, Multimodal Conditioning
SMPL/SMPL-X, SLAM
Bundle Adjustment, Camera Geometry
LoRA, DeepSpeed
Multi-GPU Training