Yichen Li

I am a Computer Science Master's student at Guibas Lab at Stanford University, where I have been fortunate to worked with Prof. Leonidas Guibas, Kaichun Mo, and Dr.Or Litany.

I received my B.S. in Computer Science and B.S. in Mathematics and Economics from Boston University, where I worked with Prof. Emily Whiting and Prof. Kate Saenko, as well as Prof. Bryan Plummer on various computer vision and graphics research. Previously, I was a research intern at NVIDIA, working with Dr.Bryan Catanzaro, Dr.Ben Eckart, Dr.Kevin Shih, Dr.Or Litany, and Andrew Tao.

My research interests lie in the areas of 3D computer vision, graphics, and machine learning. I am fascinated by building intelligent systems for 3D content understanding through representation learning, object interactions and physics-based geometry analysis.

Email  /  Google Scholar  /  GitHub

profile photo


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

Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Yichen Li*, Xingchao Peng*, Kate Saenko,
European Conference on Computer Vision (ECCV), 2020
[paper]   [project page]   [code]  

NASDA: Neural Architecture Search for Domain Adaptation
Yichen Li*, Xingchao Peng*,
Preprint (in submission), 2020

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

Lifelong Domain Adaptation with Interpolated Feature Alignment
Yichen Li, Xingchao Peng, Ping Hu
Preprint , 2019

Learning Domain Adaptive Features with Unlabeled Domain Bridges
Xingchao Peng, Yichen Li,
preprint, 2019

Academic Services
Conference Reviewer: CVPR, ICML, NeurIPS, ICCV, WACV, AAAI, IEEE-TIP

cs229 CS468: Topics in Geometric Algorithms: Non-Euclidean Methods in Machine Learning (Fall 2020)

Course Assistant (CA)

cs229 CS231n: Convolutional Neural Networks for Visual Recognition (Spring 2021)

Course Assistent (CA)

  • College Prize For Excellence in Computer Science (GPA Rank: 1st)
  • Summa Cum Laude
  • BU Arts Initiative Research Award
  • UROP Summer Research Award
  • Dean's List 4 Years

This guy makes a nice webpage.