Yijia Weng | 翁伊嘉

I am a rising fifth-year Ph.D. student in computer science at Stanford University, advised by Prof. Leonidas Guibas. Previously, I obtained my B.S. in Computer Science from Turing Class, Peking University, advised by Prof. Baoquan Chen. I also had the privilege of working closely with Prof. Jeannette Bohg at Stanford, Prof. Hao Su at UCSD, and Prof. He Wang at Peking University. I've had a wonderful time pursuing research internships at Adobe Research, NVIDIA Research, and Google Deepmind.

Email  /  Google Scholar  /  Github

profile photo
Research

My research interests lie in 3D computer vision, with a focus on reconstructing the 3D world with efficient, interaction-aware, and semantically meaningful representations.

MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds
Jiahui Lei, Yijia Weng, Adam W. Harley, Leonidas Guibas, Kostas Daniilidis
CVPR, 2025
project page / arXiv / code

Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields
Shijie Zhou*, Hui Ren*, Yijia Weng, Shuwang Zhang, Zhen Wang, Dejia Xu, Zhiwen Fan, Suya You, Zhangyang Wang, Leonidas Guibas, Achuta Kadambi
CVPR, 2025
project page / arXiv / code

Real2Code: Reconstruct Articulated Objects via Code Generation
Mandi Zhao, Yijia Weng, Dominik Bauer, Shuran Song
ICLR, 2025
project page / arXiv / code

AO-Grasp: Articulated Object Grasp Generation
Carlota Parés Morlans*, Claire Chen*, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas Guibas, Jeannette Bohg
IROS, 2024
project page / arXiv / code

Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas Guibas, Stan Birchfield
CVPR, 2024
project page / arXiv / code

Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
Yijia Weng, Kaichun Mo , Ruoxi Shi, Yanchao Yang, Leonidas Guibas
ICML, 2023
project page / arXiv

Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds
Xiaolong Li, Yijia Weng, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song, He Wang
NeurIPS, 2021
project page / arXiv

CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
Yijia Weng*, He Wang*, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan,
Baoquan Chen, Hao Su, Leonidas Guibas
ICCV, 2021 Oral Presentation
project page / video / arXiv / code

Unpaired Motion Style Transfer from Video to Animation
Kfir Aberman*, Yijia Weng*, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen
SIGGRAPH, 2020
project page / video / arXiv / code

Experience
Stanford University, CA
2021.09 - Present

Ph.D. Student in Computer Science
Advisor: Prof. Leonidas Guibas
Google Deepmind, CA
2024.07 - 2024.12

Student Researcher
NVIDIA Research, WA
2023.06 - 2023.12

Research Intern
Adobe Research, CA
2022.06 - 2022.09

Research Intern
Peking University, China
2017.09 - 2021.07

B.S. in Computer Science, Turing Class
Advisor: Prof. Baoquan Chen
Stanford University, CA
2020.03 - 2020.11

Visiting Research Student through the UGVR program
Advisor: Prof. Leonidas Guibas
Miscellaneous

I was quite into competitive programming💻 and used to compete in Olympiad in Informatics and International Collegiate Programming Contest (ICPC)🏅. Now I also train high school students back at home. Solving those brain teasers is always fun!
In my spare time, I enjoy dancing💃, cooking🍳, concerts🎫, musicals🎭, and learning foreign languages🇫🇷🇰🇷.


Template stolen from Jon Barron. Thanks for stopping by :)
Last updated: Jul 14, 2025