Honglak Lee
Scholar

Honglak Lee

Google Scholar ID: fmSHtE8AAAAJ
LG AI Research / U. Michigan
Machine LearningDeep LearningReinforcement LearningComputer VisionArtificial Intelligence
Citations & Impact
All-time
Citations
49,481
 
H-index
92
 
i10-index
174
 
Publications
20
 
Co-authors
70
list available
Contact
Resume (English only)
Academic Achievements
  • Sloan Research Fellowship, 2016; Morris Wellman Faculty Development Professor, 2016; National Science Foundation CAREER Award, 2015; Associate Fellow, Canadian Institute for Advanced Research (CIFAR), 2015; AI's 10 to Watch, IEEE Intelligent Systems, 2013; Google Faculty Research Award, 2011; Research Highlights, Communications of the ACM, 2011; Best Application Paper, ICML, 2009; Best Student Paper, CEAS, 2005, etc.
Research Experience
  • Professor of CSE at U. Michigan, Ann Arbor; Executive VP and Chief Scientist at LG AI Research.
Education
  • Ph.D. in Computer Science, Stanford University, 2010 (Dissertation Advisor: Andrew Ng); M.S. in Computer Science, Stanford University, 2006; M.S. in Applied Physics, Stanford University, 2006; B.S. in Physics and Computer Science (double major), Seoul National University, 2003.
Background
  • Research interests: machine learning and its applications to artificial intelligence, particularly deep learning and representation learning. Application areas include computer vision, audio recognition, robotics, text modeling, and healthcare.