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 1 of 2 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 2 of 2 Spring 2014 Winter 2014 Fall 2012
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