Zhewen Zheng

I am a first year Master's student in Computer Vision (MSCV) at Carnegie Mellon University. I got dual Bachelor's degrees in Mathematics and Informatics from the University of Washington, and graduated with Interdisciplinary Honors. My interests lie at the intersection of computer vision, computer graphics, and robot learning.

Previously after my undergraduate studies, I first worked as a Machine Learning Engineer at ObvioHealth, where I led a team to build an LLM-based web portal to accelerate clinical protocol drafting and developed image classification and data synthesis pipelines. Later, at Shanghai AI Laboratory I worked on 3D Reconstruction and Novel View Synthesis methods.

I am currently seeking Summer 2026 internship in AI/ML and research opportunities in 3D and Robot Learning.

Email  /  Resume  /  Bio  /  Github

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Research

I’m broadly interested in 3D learning, generation, and reconstruction—how AI systems can perceive and model the physical world in three dimensions. My past work has focused on inferring geometry, motion, and appearance from images through radiance-field-based representations. I’m also expanding my interests toward robot learning, exploring how embodied agents can leverage 3D understanding to perceive and interact with their environments.

ARTDECO: Towards Efficient and High-Fidelity On-the-Fly 3D Reconstruction with Structured Scene Representation
Guanghao Li, Kerui Ren, Linning Xu, Zhewen Zheng, Changjian Jiang, Xin Gao, Bo Dai, Jian Pu, Mulin Yu Jiangmiao Pang
arXiv, 2025
project page / arXiv

By unifying 3D foundation priors with structured scene representations we enable robust and generalizable 3D reconstruction of diverse real-world scenes using only monocular video.

Education

CMU Seal Carnegie Mellon University, Pittsburgh, PA
M.S. in Computer Vision, expected Dec 2026
Relevant Coursework: Advanced Computer Vision, Learning for 3D Vision, Robot Learning
UW Seal University of Washington, Seattle, WA
B.S. in Mathematics and B.S. in Informatics, June 2022
Graduated with Interdisciplinary Honors (GPA: 3.75/4.00)
Relevant Coursework: Machine Learning, Computer Vision, Algorithms, Data Structures, Linear Algebra, Multivariable Calculus, Probability and Statistics, Numerical Analysis

Work

SH Lab Logo Shanghai AI Laboratory, Shanghai, China
Research Assistant, Feb 2024 - Aug 2025
ObvioHealth Logo ObvioHealth USA, New York, NY
Machine Learning Engineer, Aug 2022 - June 2023

Miscellanea

I enjoy playing badminton, building computers, linux-ricing, and figuring out automation puzzles.


Template stolen from Jon Barron.