
Student at Oregon State University
San Francisco Bay Area

Student at Oregon State University
San Francisco Bay Area
Computer Skills:
· C/C++ programming in Dos / Windows / LINUX, seven years of experience.
· Matlab, seven years of experience, very familiar with the Statistics, Image Processing, Signal Processing, and Optimization Toolboxes.
· Familiar with popular Machine Learning software packages like Weka, Netlab, PRtool, and etc.
Theoretical Skills:
· Proficient in Machine Learning, Pattern Recognition and Computer Vision theories and recent progresses.
· Solid mathematical background, accomplished in Higher Mathematics, Probability and Statistics Theories, Linear Algebra, Geometry, Optimization Algorithms and etc.
· Familiar with Information Theories, Digital Signal Processing and Communication Technologies.
Electrical Engineering Skills:
· Embedded System Design, five years of experience, confident in System-on-Chip (SoC) and Graphic User Interface (GUI) design.
Personality:
· Feeling totally comfortable in team-working, communication, oral presentation and technical report.
· Self motivated, hardworking and enterprising.
Solid Background: Acquainted in Computer Science, Electrical Engineering, Mathematics, Statistics and English. Years of research experience.
Quick Learner: Quickly get proficient and productive in new areas.
Great Prototyper: Always self-motivated to going deep and broad in problem.
Personality: Extremely focused, competent and confident in independent working, also feeling fully comfortable in team working and communication.
(Public Company; 5001-10,000 employees; Computer Software industry)
September 2004 — Present (4 years 2 months)
Researching in Computer Vision, Pattern Recognition and Machine Learning. Working for two NSF-funded school projects on computer vision applications.
Planning to graduate and obtain my PhD degree from OSU in 2008.
(Public Company; 10,001 or more employees; XRX; Computer Software industry)
June 2007 — December 2007 (7 months)
Internship
Working on novel application of computer vision and machine learning techniques on the enhancement of clothes shopping experience.
Published two papers (IUI and CVPR) and three patents.
PhD, Electrical Engineering and Computer Science, 2004 — 2008
Master, Information Engineering, 2001 — 2004
Selected Publications:
Wei Zhang, et al. "An Intelligent Fitting Room Using Multi-Camera Perception". 2008 International Conference on Intelligent User Interface (IUI 2008).
Wei Zhang, et al. Real-Time Clothes Comparison Based on Multi-View Vision. Accepted to ICDSC-08.
Wei Zhang, et al. Augmented Fashion Exploration Based on Clothes Recognition. Accepted to ACIVS-08.
Wei Zhang, Thomas G. Dietterich. Learning Visual Dictionaries and Decision Lists for Object Recognition. Accepted to ICPR'08.
Wei Zhang, Hongli Deng. Understanding Visual Dictionaries via Maximum Mutual Information Curves. Accepted to ICPR'08.
Hongli Deng, Wei Zhang, Thomas G. Dietterich, Eric N. Mortensen and Linda Shapiro. "Principal Curvature-based Region Detector for Object Recognition", CVPR 2007, oral paper.
Wei Zhang, et al. “A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions”. ICPR’06.
Submitted three patent applications.