Yichen Li

I am a Ph.D. student at MIT CSAIL, advised by Prof. Antonio Torralba and Prof.Wojciech Matusik. My research interest lies at the intersection graphics and vision. I am interested in multimodal content (visual, touch, and sound) understanding and creation through dynamic interactions and physics-based geometry analysis.

Before coming to MIT, I have been fortunate to worked with Prof. Leonidas Guibas and Prof. Gordon Wetzstein at Stanford. I also worked with Prof.Emily Whiting and Prof. Kate Saenko.

Email  /  Google Scholar  /  GitHub  / 

profile photo

Photo credit: Jiayuan Mao

News

Publications

Learning to Jointly Understand Visual and Tactile Signals
Yichen Li, Yilun Du, Chao Liu, Chao Liu, Mike Foshey, Francis Williams, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba,
ICLR , 2024
[paper]   [project page]  

Category-Level Multi-Part Multi-Joint 3D Shape Assembly
Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhuang, Lin Shao, Wojciech Matusik, Leonidas Guibas,
CVPR , 2024
[paper]   [project page]  

Learning Preconditioner for Conjugate Gradient PDE Solver
Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik
ICML, 2023
[paper]   [project page]  

Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly
Yunsheng Tian, Jie Xu Yichen Li, Jieliang Luo, Shinjiro Sueda, Hui Li, Karl D.D. Willis, Wojciech Matusik
Siggraph Asia, 2022
[paper]   [project page]   [code]  

Learning 3D Part Assembly from A Single Image
Yichen Li*, Kaichun Mo*, Lin Shao, Minhyuk Sung, Leonidas Guibas,
ECCV, 2020
[paper]   [project page]   [code]  

Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Xingchao Peng*, Yichen Li*, Kate Saenko,
ECCV, 2020
[paper]   [project page]   [code]  

Revisiting Image-Language Networks for Open-ended Phrase Detection
Bryan Plummer, Kevin Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
TPAMI, 2019
[paper]  


Academic Services
Conference Reviewer: CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, AAAI, IEEE T-PAMI, IEEE-TIP.

Teaching
cs231n CS231N:Convolutional Neural Networks for Visual Recognition (Spring 2021)

Course Assistant (CA)

cs468 CS468: Topics in Geometric Algorithms: Non-Euclidean Methods in Machine Learning (Fall 2020)

Course Assistant (CA)


Professional Experience
  • Research Intern at NVIDIA Summer 2023
  • Research Intern at Adobe Summer 2021
  • Research Intern at NVIDIA Summer 2020
Awards
  • Robert J. Shillman Fellowship
  • College Prize For Excellence in Computer Science (GPA Rank: 1st)



This guy makes a nice webpage.