CS Ph.D. @ Johns Hopkins University, advised by Prof. Alan Yuille
Research Intern @ NVIDIA, mentored by Dr. Zhiding Yu
I work on embodied AI and robotics, connecting vision-language reasoning with spatial representations and robot action. My research spans explicit 3D reasoning and memory-conditioned world models for geometrically consistent, camera-controlled video generation.
Open to Research Scientist and Machine Learning Engineer opportunities in embodied AI and robotics in the San Francisco Bay Area. Expected graduation: May 2027.
I received my M.S.E. from JHU in 2024, advised by Prof. Zongwei Zhou, and my bachelor's degree from Wuhan University in 2022, advised by Prof. Deng-Ping Fan. Previously, I interned at Philips Research, Microsoft Research Asia, Tencent WeSure, and Kuaishou, working on generative data augmentation, causal modeling, and applied machine learning.
* equal contribution
VFlash is a System-1 VLM for fast, accurate visual planning in Physical AI. It predicts complete geometric primitives in parallel, from bounding boxes to 3D trajectories and motion. Across robotics and autonomous driving, VFlash improves spatial accuracy and accelerates inference, achieving 42.6% lower average 3D robot trajectory error and up to 5.2× faster robot inference.
Captain Safari is a world engine for exploring 3D scenes through camera-controlled video generation. It retrieves pose-aligned 3D memory to preserve scene geometry while following challenging camera paths, including sharp turns and large viewpoint changes. On complex outdoor scenes, Captain Safari improves 3D consistency and camera control, earning 67.3% of 1,500 votes in a five-way human preference study.
SpatialReasoner is a VLM for understanding and reasoning about the 3D world from images. It explicitly represents object locations and orientations, using them to connect visual perception with geometric computation and multi-step reasoning. SpatialReasoner generalizes to unseen spatial questions and achieves 60.3% accuracy on 3DSRBench, outperforming Gemini 2.0 by 9.2%.
Research Intern · Jan 2026 – Present
System-1 VLM for Physical AI.
Research Intern · 2024
Conditional diffusion for synthetic data augmentation.
Research Intern · 2022
Causal modeling for segmentation under domain shift.
Computer Vision Intern · 2021
Production OCR and automated data labeling.
Video Transmission Algorithm Intern · 2020
Reinforcement learning for congestion control.
* equal contribution
Ph.D. in Computer Science, 2023 – Present
M.S.E. in Computer Science, 2024
Advisor: Prof. Alan Yuille
B.S.E., 2022
Embodied Spatial Reasoning (NeurIPS 2026, ICCV 2025),
Learning from Situated and Embodied Interaction (COLM 2026),
Body Maps (MICCAI 2024, ISBI 2024).
CVPR2026, ECCV2026, ICLR2027/2026, NeurIPS2026/2025/2024, ICML2024, MICCAI2024/2023.