Leo / Zeqing Yuan
Leo / Zeqing Yuan
Grad Student @MIT

I am pursuing my Ph.D. at MIT. I am interested in vision, robotics and agents. Previously, my master's research focused on physics-based vision and imaging, and my undergraduate work explored generative models and video understanding.

I obtained my M.S. in Robotics from Carnegie Mellon University, where I was fortunate to be advised by Prof. Srinivasa Narasimhan and Prof. Aswin Sankaranarayanan. I also worked with MD Anderson and Rice on AI for medical imaging. Prior to that, I earned my bachelor's degree with the highest honor from Zhejiang University, working with Professors Yingcai Wu, Jake Zhao and Chunhua Shen, and spent a summer interning at Stanford with Prof. Jiajun Wu's group.

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Publications and Manuscripts

VT-Intrinsic: Physics-Based Decomposition of Reflectance and Shading using a Single Visible-Thermal Image Pair
Zeqing Yuan, Mani Ramanagopal, Aswin Sankaranarayanan, Srinivasa Narasimhan
TLDR Light absorbed rather than reflected leaves thermal traces that reveal lighting and material reflectance.
Deep-Learning-Enabled Array Microscope with Extended Depth of Field for High-Throughput Slide-Free Pathology
Jimin Wu*, Huayu Hou*, Zeqing Yuan, Bakai Sheyitov, Angelina Yang, Junzhe Wang, Jinyun Liu, Mark Harfouche, Xiangjiang Bao, Sahar Sadeghi, Thomas Williams, Jennifer Carns, Richard A. Schwarz, Tomasz S. Tkaczyk, Ann M. Gillenwater, Ana Paula Refinetti, Lei Huo, Michelle D. Williams, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan, Roarke Horstmeyer, Ashok Veeraraghavan*, Rebecca R. Richards-Kortum*
Under Review
TLDR A computational array microscope with AI to advance the speed and scale of intraoperative pathology.
Revealing Subtle Heat Flows all around us using Microbolometric Videos
Mani Ramanagopal, Akihiko Oharazawa, Sriram Narayanan, Zeqing Yuan, Srinivasa Narasimhan
TPAMI & ICCP 2026
TLDR Revealing subtle thermal video signals by modeling bolometric sensor physics.
SinLayout: Learning Generative 3D Scene Layouts from a Single Image
Zeqing Yuan*, Linan Zhao*, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu
AI3DG @CVPR 2024
TLDR Learning spatial layout distribution from a single image using an adversarial generator.
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior
Zhekai Chen*, Wen Wang*, Zhen Yang, Zeqing Yuan, Hao Chen, Chunhua Shen
TLDR Exploiting pretrained diffusion priors for training-free image composition.
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
Zeqing Yuan*, Yuchen He*, Yihong Wu, Liqi Cheng, Dazhen Deng, Yingcai Wu
TLDR Parsing broadcast racket-sport videos into stroke-level technique sequences.
3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?
Zeqing Yuan*, Haoxuan Lan*, Qiang Zou, Junbo Zhao
Tech Report 2023
TLDR A framework and dataset for LLMs to generate code for parametric 3D modeling.
TIVEE: Visual Exploration and Explanation of Badminton Tactics in Immersive Visualizations
Xiangtong Chu, Xiao Xie, Shuainan Ye, Haolin Lu, Hongguang Xiao, Zeqing Yuan, Zhutian Chen, Yingcai Wu
TLDR Immersive VR visualization system for badminton tactical analysis.

Talks

[2026/01] Invited talk @Columbia University: Physics-based Vision with Heat and Light

Selected Honors

Best Poster Award, CVPR Workshop on Computational Cameras and Displays, 2025
AAAI Student Scholarship, 2024
Chinese National Scholarship, Ministry of Education, 2021, 2022, 2023
Chu Kochen Presidential Scholarship, Zhejiang University, 2023
Top 10 Outstanding Students Award at Zhejiang University, 2023
SenseTime Scholarship, 2022

Academic Services

Program Committee / Reviewer for AAAI, CVPR, ECCV, NeurIPS
Teaching Assistant for CS 21191070: Computer Vision, 2023
Mentor at CMU Paths to AI Research (PAIR) Program, 2025
Member of CMU School of Computer Science Dean's Advisory Committee, 2025
Conference Volunteer for AAAI, 2024

Miscellaneous

I love recording and understanding how nature paints with light.
I also enjoy a wide range of sports and spent five lovely years on a professional badminton team. During undergrad, I worked on AI for racket sports, which was later adopted by the national team. Here's a snapshot of my athletic badminton career:
Badminton achievements
  • U.S. National Collegiate Team Championships (D1-B) 🥇
  • Chinese National First-Class Athlete
  • Chinese National 8th Place in Men's Singles
  • Zhejiang Provincial 🥇🥇🥈
  • Fujian Provincial 🥈🥈🥉🥉


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