Chen-Yu Lee - UC San Diego

Chen-Yu Lee
Contact
Information
E-mail: [email protected]
Website: http://pages.ucsd.edu/∼chl260
Research
Interests
Computer Vision and Machine Learning.
Education
University of California, San Diego, La Jolla, CA
Ph.D. in Electrical and Computer Engineering started in Fall 2011. GPA 3.81/4
Advisor: Prof. Pamela Cosman and Prof. Zhuowen Tu
National Chiao Tung University, Hsinchu, Taiwan
M.S. in Electrical and Computer Engineering with Honors, 2009. GPA 4/4
B.S. in Electrical and Computer Engineering with Honors, 2008. GPA 3.82/4
Research
Experiences
Amazon.com, Inc., Seattle, WA
Research Scientist Intern, Team Firefly
Fine-grained Object Recognition
University of California, San Diego, La Jolla, CA
Graduate Research Assistant
Semi-supervised Visual Representation Learning from Large-scale Images
eBay Inc., San Jose, CA
Research Intern, eBay Research Labs
Photo Optical Character Recognition
University of California, San Diego, La Jolla, CA
Graduate Research Assistant
Worm Cell Tracking in 4D Confocal LSM Data
Qualcomm Inc., San Diego, CA
Research Intern, Qualcomm Research Center
Image Retrieval with a Vocabulary Tree
Publications
Summer 2014
Nov 2013-present
Summer 2013
Sep 2012-June 2013
Summer 2012
Academia Sinica, Taiwan
Research Assistant, Institute of Information Science
Object Detection and Recognition
Feb 2011-Jul 2011
Chunghwa Telecom Co., Ltd, Taiwan
Research Assistant, Telecom Labs
Spatio-temporal Analysis in Smoke Detection
Sep 2008-Jul 2009
National Chiao Tung University, Taiwan
Research Assistant
High Dynamic Range Image Recovering
Sep 2007-Jun 2008
Chen-Yu Lee∗ , Saining Xie∗ , Patrick Gallagher, Zhengyou Zhang, and Zhuowen Tu. DeeplySupervised Nets. International Conference on Artificial Intelligence and Statistics (AISTATS),
2015. Earlier in Advances in Neural Information Processing Systems (NIPS) Workshop on Deep
Learning and Representation Learning, December, 2014 (Oral)
Chen-Yu Lee, Anurag Bhardwaj, Wei Di, Vignesh Jagadeesh, and Robinson Piramuthu. Regionbased Discriminative Feature Pooling for Scene Text Recognition. IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), 2014
Sukryool Kang, Chen-Yu Lee, Monira Goncalves, Andrew Chisholm, and Pamela Cosman. Tracking Epithelial Cell Junctions in C. elegans Embryogenesis with Active Contours Guided by SIFT
Flow. IEEE Transactions on Biomedical Engineering (TBME), 2014
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Chen-Yu Lee, Sukryool Kang, Andrew Chisholm, and Pamela Cosman. Automated Cell Junction
Tracking with Modified Active Contours Guided by SIFT Flow. IEEE International Symposium
on Biomedical Imaging (ISBI), 2014
Chen-Yu Lee, Chin-Teng Lin, Chao-Ting Hong, and Miin-Tsair Su. Smoke Detection Using
Spatial and Temporal Analyses. International Journal of Innovative Computing Information and
Control (IJICIC), 2012
Chen-Yu Lee, Chin-Teng Lin, and Chao-Ting Hong. Spatio-temporal Analysis in Smoke Detection. IEEE International Conference on Signal and Image Processing Applications (ICSIPA),
2009
Teaching
Experience
University of California, San Diego, La Jolla, CA
Teaching Assistant, ECE 191 Engineering Group Design Project
Teaching Assistant, COGS 118A Natural Computation
Teaching Assistant, ECE 253 Digital Image Processing
Honors
Academic Achievement Award, National Chiao Tung University, 2008-2009
Distinguished Academic Performance Scholarship, Shou-Jen Liu Foundation, 2007-2008
Academic Achievement Award, National Chiao Tung University, 2006-2007
Quality Award, Final Project of Java Programming
Quality Award, Final Project of Turbo C Programming
Relevant
Courseworks
COGS 260 - Visual Computing (UCSD WI14) - Tu
CSE 250B - Principles of Artificial Intelligence: Learning (UCSD WI13) - Elkan
ECE 285 - Topics in Intelligent Systems (UCSD WI13) - Trivedi
ECE 271A - Statistical Learning I (UCSD FA12) - Vasconcelos
ECE 273 - Convex Optimization (UCSD SP12) - Lanckriet
CSE 252C - Selected Topics in Vision and Learning (UCSD SP12) - Belongie
CSE 252B - Computer Vision II (UCSD WI12) - Belongie
CSE 252A - Computer Vision I (UCSD FA11) - Kriegman
ECE 253A - Digital Image Processing (UCSD FA11) - Cosman
Stochastic Processing (NCTU 08)
Image Processing (NCTU 08)
Fuzzy System (NCTU 08)
Optimization Theory (NCTU 08)
Digital Signal Processing (NCTU 08)
Probability (NCTU 07)
Introduction to Digital Signal Processing (NCTU 07)
Programming
Skills
Language: Matlab, C/C++, Python, HTML, Assembly, LATEX.
Library: Cuda-convnet, Caffe, Theano, OpenCV
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Spring 2014
Winter 2014
Fall 2012