
PH.D. - Machine Learning, Computer Vision
San Francisco Bay Area

PH.D. - Machine Learning, Computer Vision
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; HPQ; Computer Software industry)
April 2009 — Present (4 months)
Working on computer vision and machine learning research and applications as a postdoctoral researcher.
(Educational Institution; Higher Education industry)
September 2004 — March 2009 (4 years 7 months)
Researching in Computer Vision, Pattern Recognition and Machine Learning. Working for two NSF-funded school projects on computer vision applications.
Graduated on March, 2009.
(Public Company; 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 three papers.
Submitted three patent applications.
PhD , Electrical Engineering and Computer Science , 2004 — 2009
Master , Information Engineering , 2001 — 2004
Bachelor , Information Engineering , 1997 — 2001
Computer Vision, Machine Learning, Object Recognition, Data Mining, UI Design.
Selected Publications (out of 20):
[1] Wei Zhang. Image features and learning algorithms for biological, generic and social object recognition. Ph.D. Dissertation, 2009.
[2] Wei Zhang et al. Learning non-redundant codebooks for classifying complex objects. ICML, 2009.
[3] Gonzalo Martínez, Wei Zhang et al. Dictionary-free categorization of very similar objects via stacked evidence trees. CVPR, 2009.
[4] Wei Zhang et al. An Intelligent Fitting Room Using Multi-Camera Perception. IUI, 2008.
[5] Wei Zhang, Thomas G. Dietterich. Learning Visual Dictionaries and Decision Lists for Object Recognition. ICPR, 2008.
[6] Wei Zhang, Hongli Deng. Understanding Visual Dictionaries via Maximum Mutual Information Curves. ICPR, 2008.
[7] Hongli Deng, Wei Zhang et al. Principal Curvature-based Region Detector for Object Recognition. CVPR, 2007. (Oral paper).
[8] Wei Zhang et al. A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions. ICPR, 2006.