Wooyoung Lee
Gates
Hillman
Complex
Avenue
Pittsburgh
PA
15213
Machine
Learning
Department
acb7j4@r.postjobfree.com
School
of
Computer
Science
Mobile:
+1-
412-
328-
8395
Carnegie
Mellon
University
EDUCATION
PhD candidate of Machine Learning Department, School of Computer Science
Carnegie Mellon University, Pittsburgh PA (Expected graduation date : May 2014)
MS in Machine Learning, CMU (May 2012)
MS in Interdisciplinary Program in Brain Sciences,
Seoul National University, Seoul, South Korea (June 2007)
BS in Biological Sciences (Minor: Psychology)
SNU, Seoul, South Korea (February 2005)
RESEARCH EXPERIENCE
Natural Perception Laboratory, EECS, Case Western Reserve University
Advisor: Michael S. Lewicki (September 2009 – Present)
Computational Perception Laboratory, School of Computer Science, CMU
Advisor: Michael S. Lewicki (September 2007 – August 2009)
Vision and Neuroimaging Laboratory, Interdisciplinary Program in Brain Sciences, SNU
Advisor: Sang-Hun Lee (March 2005 – June 2007)
Neurobiology Laboratory, School of Biological Sciences, SNU
Advisor: Bong-Kiun Kaang (March 2004 – August 2005)
HONORS AND AWARDS
Doctoral Study Abroad Scholarship, Samsung Foundation, 2007-2012
Doctoral Study Abroad Scholarship, Korean Foundation for Advanced Studies, 2007 – 2011
Student Travel Award, Vision Science Society, May 2005
(Awarded to the top 10 students or postdoctoral fellows on a competitive basis)
Graduated Summa Cum Laude, SNU, February 2005
Independent Study Scholarship, SNU, 2004
Undergraduate Student Research Award, SNU, 2004
Academic Excellence Scholarship, SNU, 2001-2005
TEACHING EXPERIENCE
Teaching assistant for Optimization, CMU, Fall 2012
With Professors Geoff Gordon and Ryan Tibshirani
Teaching assistant for Fundamentals of Artificial Intelligence, CMU, Fall 2010
With Professors Yaser Sheikh and Illah Nourbakhsh
Teaching assistant for Introduction to Vision Science, SNU, Fall 2005
With Professor Sang-Hun Lee
Teaching assistant for Experimental Psychology and Lab., SNU, Spring 2005
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PUBLICATIONS
Conference Presentations
1. Lee, W., & Lewicki, M.S. Learning global properties of scene images based on their correlational
structures, Deep Learning and Unsupervised Feature Learning Workshop at NIPS, 2012
2. Lee, W., & Lewicki, M.S. Adaptive representations of scenes based on ICA mixture model,
Big Vision Workshop at NIPS, 2012
3. Lee, W. -Y., & Lee, S.-H. Dynamics of line motion illusion reflects the anatomical and functional
architecture of the early visual cortex, Journal of Vision, 5(8), 899a, 2005
4. Lee, W. -Y., & Lee, S.-H. Dynamics of line motion illusion reflects the functional architecture of
the early visual cortex, 35th Annual Meeting of Society for Neuroscience, 2005
Master’s thesis
1. Lee. W. Learning global properties of scene images based on their correlational structures.
Carnegie Mellon University, 2012
2. Lee. W. The dynamics of line motion illusion is constrained by the collinearity of its cues and line
parts. Seoul National University, 2007
ONGOING PROJECTS
1. Lee, W., & Lewicki, M.S. Learning global properties of scene images based on multiscale
correlational patterns
2. Balcan, D.C., & Lee, W. The Newton’s method and beyond for the density coding model
3. Lee, W., Gordon, G., & Lewicki, M.S. Factorizing images into shape and texture
RELATED COURSEWORK
@
CMU
Machine Learning, Intermediate Statistics, Statistical Machine Learning,
Multimedia Databases and Data Mining, Algorithms in the Real World,
Computer Vision, Computational Perception, Applied Bayesian Methods,
Optimization, From Pixels to Percepts
@
SNU
Neural Network, Optical Image Processing, Principles of Neuroscience,
Advanced Vision Science, Differential Equations, Complex Variables,
Probability Theory and Applications
SKILLS
MATLAB (expert), C++, Java, Python (previous exposure)
Programming
Languages
Spoken
Languages
English (fluent), Korean (native)
OTHER ACTIVITIES
Social Committee for Machine Learning Department, CMU, 2009-2010
President of Korean Computer Science Scholars, CMU, 2008-2010
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