Yichen Li

I am a Computer Science Master's student at Guibas Lab, 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  /  LinkedIn

profile photo
News

Publications

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
[paper]  

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]  

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

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

https://icml.cc/
Academic Services
Conference Reviewer: CVPR, ICML, ICCV, NeurIPS, WACV, AAAI, IEEE-TIP,

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

Course Assistant (CA)


Awards
  • College Prize For Excellence in Computer Science (GPA Rank: 1st) (2018)
  • Summa Cum Laude (2018)
  • Boston University Arts Initiative Research Award (2018)
  • UROP Summer Research Award (2018)
  • Dean's List 4 Years (2014-2018)



This guy makes a nice webpage.