Yujia Li

I'm a Ph.D. student at University of Toronto. I work in the machine learning group and my advisor is Prof. Richard Zemel. My research now focuses on structured output learning, especially image labeling problems. Before coming to Toronto, I obtained my bachelor's degree from Tsinghua University, Beijing, China. I have worked as an intern Research and Development engineer at Baidu, Inc. (the largest search engine company in China) in the summer of 2011.

News

  • One paper accepted to appear in ICML 2014 workshop on Learning Tractable Probabilistic Models.
  • One paper accepted to appear in ICML 2014.
  • I'm TA'ing CSC 108 "Introduction to Computer Programming" this winter.
  • Code for our CVPR 2013 paper is available now.
  • One paper accepted to appear in CVPR 2013 as oral presentation.

Education

2013.2-Present      Ph.D. Student
Department of Computer Science, University of Toronto, Toronto, ON, Canada
 
2011.9-2013.1      Master of Science
Department of Computer Science, University of Toronto, Toronto, ON, Canada
 
2007.8-2011.7 Bachelor of Engineering
School of Software, Tsinghua University, Beijing, China

Publications

Conference Papers

High Order Regularization for Semi-Supervised Learning of Structured Output Problems
Yujia Li and Richard Zemel
International Conference on Machine Learning (ICML), 2014
[paper + supplementary material] [slides] [poster] [data comming soon]

Exploring Compositional High Order Pattern Potentials for Structured Output Learning
Yujia Li, Daniel Tarlow and Richard Zemel
The 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
Oral Presentation
[paper] [supplementary material] [slides] [poster] [data] [code] [talk]

Celebrity Recommendation with Collaborative Social Topic Regression
Xuetao Ding, Xiaoming Jin, Yujia Li and Lianghao Li
Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013
[paper]


Workshop Papers

Mean Field Networks
Yujia Li and Richard Zemel
ICML workshop on Learning Tractable Probabilistic Models, 2014
[paper] [slides]


Thesis

Exploring Compositional High Order Pattern Potentials for Structured Output Learning
M.Sc. Thesis
[paper]


Talks

A Tutorial on Dual Decomposition (2014) at Toronto Machine Learning Group Meeting. [pdf]


Teaching

At University of Toronto At Tsinghua University
  • Spring 2011, Advanced Data Structures
  • Spring 2011, Machine Learning and Knowledge Discovery

Honors and Awards

  • 2013, CVPR travel grant.
  • 2013, University of Toronto School of Graduate Studies conference grant.
  • 2008-2010, University-wide comprehensive merit scholarship, three times - Including Kai-Feng Scholarship, which is the highest amount among all scholarships and awarded to only 30 undergraduate students in Tsinghua University every year.
  • 2008, 2nd Prize - Chinese National College Physics Contest
  • 2006, 1st Prize - Chinese Physics Olympiad (CPhO) in Provinces
  • 2005, 2nd Prize - Chinese National Olympiad in Informatics in Provinces (NOIP)

Other Stuff

My name in Chinese: My Name

A list of my old projects can be found here.

I swim and run regularly every week. I like playing badminton. I'm a fan of NBA. Following are some activities that I have participated in.

  • 2010, Finished Half Marathon - 30th Beijing International Marathon
  • 2010, Volunteer - Data Statistics group, China Open (Tennis)
  • 2009, Visiting Student - Tohoku University, Sendai, Japan.
  • 2009, Vice President - Student Association of Science and Technology, School of Software, Tsinghua University
    • Co-organized the first regional software design contest, which attracts around 70 teams from 7 main universities in Beijing to participate.
  • 2008-2009, Section Chief - Student Union, School of Software, Tsinghua University
  • 2008, Staff, Out Standing Staff Laureate - Media Village, Beijing Olympic Games
  • 2008, Finished 10km - 28th Beijing International Marathon

 Profile Picture


Department of Computer Science
University of Toronto
UofT Email