WEI ZHANG (张伟) 
School
of Electrical Engineering and Computer Science, 1148 Kelley Engineering Center,
Oregon State University, Corvallis, OR
97331-5501
541-737-4145 (Office) 541-740-2600 (Cell)
http://web.engr.oregonstate.edu/~zhangwe
OBJECTIVE
To apply
for a full-time job position in the areas of Machine Learning, Computer Vision,
Pattern Recognition, User Interface Design, and others.
STRENGHT
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. Keep refreshing myself by
reading 5~10 research papers every week.
Great
at Prototyping: Always self-motivated to going deep and
broad to analyze problems; brave at pursuing new directions and developing new
algorithms until they produce promising results.
Personality: Extremely focused, competent in
independent working, also feeling fully comfortable in team working and
communication.
SKILLS
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 and Computer Vision software packages like Netlab, PRtool, OpenCV, 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 presentations and technical reports.
·
Self
motivated, hardworking and enterprising.
HONORS & AWARDS
·
Discovery Channel News report on the
Responsive Mirror project: http://dsc.discovery.com/news/2008/01/23/fitting-room-tech.html.
· Three patents’ bonus, Palo Alto Research Center (PARC), 2007.
· Graduate
Research Assistantship,
Oregon State University,
2004-present.
· Xinxing Enterprise Scholarship, Xi’an Jiaotong University (XJTU), 2003. ------One of the most prestigious scholarships at XJTU.
· 1st Place of 1st
Class Award in DSP
groups in the 4th Motorola Embedded Processor
(MCU/DSP) Design Contest, Shanghai, 2002.
· Excellent Student Scholarships at XJTU, 1998, 1999, 2001, 2002.
PROJECTS
Responsive Mirror Project in Palo Alto Research Center (PARC):
Summary: Worked in PARC from June, 2007 to
December, 2007 as an intern, on Responsive
Mirror (RM) project. Responsive Mirror uses cameras, displays, machine
learning, and computer vision software to produce an interactive display and
intelligent clothes retrieval.
Achievements: After six month’s work, a working
prototype is implemented and installed within PARC. Internal evaluation of the
produce shows that the system improves a lot in the users’ confidence in the decision
making and improves their shopping experience.
An
introduction paper of the RM system is published as a full paper in IUI 2008 [1],
one companion paper was accepted by Workshop of CHI 2008 [3].
Another two papers about the system was accepted by to ICDSC 2008 and ACIVS
2008.
Three IP
applications have been approved and submitted.
Insect Identification:
Summary: Started from 2004, I worked in the
“Insect Identification” project
[10] led by Prof. T.G. Dietterich in
Problems: Focused on learning and
recognition, we are facing a very difficult problem posed by the significant
intra-class variation and subtle inter-class difference of the appearances of the
insects in the captured images.
Achievements: After thorough study and extensive
experiments, we proposed MSPCR [8]
and CFH [9]
algorithms and achieve classification accuracy close to human tests. The PCBR
detector [7]
and the MSPCR method are also shown to be performing well on other bench-mark
object recognition datasets. Recently, I developed a new discriminative visual
dictionary learning algorithm [5]
based on EM-DD algorithm and ensemble of decision lists, and reached
performance even close to that of experienced entomologists. And I am also
working on Diverse Density evaluation of interest region detectors for object
recognition inspired by the successful studies in Multiple-Instance Learning
(MIL).
Face Recognition:
Summary: From 2003 to 2004, I researched
extensively on Machine Learning, Face Recognition and Data Mining in Xi’an
Jiaotong University.
Topics: My topics were focused on supervised
and unsupervised dimension reduction algorithms like Principal Component
Analysis (PCA), Discriminant Analysis (DA) etc; “Kernel Tricks” in dimension
reduction and classification; and the application of machine learning in
extracting facial features for classification.
Achievements: Cooperating with Dr. Congde Lu, we contributed Three Papers on reputed publications. Comparative study of linear and kernel-based classification algorithms for face recognition was given in [11]; a novel binary classifier based on Support Vector Domain Description (SVDD) was proposed in [12]; and a nonlinear symmetrical PCA algorithm introduced in [13]. My M.S. thesis on the research of face recognition algorithms and facial image datasets was highly evaluated by the department.
System-on-Chip (SoC) and Graphic User Interface (GUI) Design:
Summary: From 2000 to 2003, my research area
was focused on the architecture and design of on-chip systems and graphic user
interfaces for commercial communication instruments.
Projects and Achievements:
(1) For my bachelor final project in
XJTU, I designed the interactive GUI for a large-scale auto-control system
using C language, and implemented “Socket Communication” between servers and
clients in LINUX environment. My thesis was evaluated as “Excellent” by the
department.
(2) In 2002, I attended the 4th Motorola
Embedded Processor (MCU/DSP) Design Contest. Our product is "A 2M
Transmission Quality Measurement Equipment Based on DSP Technology" [15].
I was in charge of the design of the whole SoC, and the debugging of LCD
Display,
Keyboard Interrupt and FLASH Memories. We won
the 1st place in the DSP groups after beaten hundreds of other
teams. I also published a paper [14] about a novel FLASH memory management
method developed in this contest.
EDUCATION
· Ph.D. (2004-) Oregon State University (OSU), USA. GPA: 3.8
School of Electrical Engineering and Computer Science
Advisor: Professor Thomas G. Dietterich
Qualifier Exam Topic: “Constellation
Models for Recognition of Generic Objects”.
Ph.D Preliminary Exam Topic: “Fusing Learning
into Low-level and Mid-Level Vision”.
· M.S. (2001-2004) Xi’an Jiaotong University (XJTU), China. GPA: 3.5
School of Electronic & Information Engineering
Advisor: Professor Taiyi Zhang
Thesis Topic: “Research on Face
Recognition Methods and Their Relations with Face
Databases”.
· B.E. (1997-2001) Xi’an Jiaotong University (XJTU), China. GPA: 3.5
School of Electronic & Information Engineering
Thesis Topic: “Design of Graphic User
Interface and Network Communication in Linux”.
PUBLICATIONS
[1]
Wei Zhang,
Takashi Matsumoto, Juan Liu, Maurice Chu, Bo Begole. “An
Intelligent Fitting Room Using Multi-Camera Perception”. 2008 International Conference on Intelligent
User Interface (IUI 2008).
[2]
Wei Zhang,
Nick Yee, Juan Liu, Maurice Chu, Bo Begole. “Augmented
Fashion Exploration Based on Clothes Recognition”. Accepted to Advanced Concepts for Intelligent Vision Systems 2008
(ACIVS-2008).
[3] Bo Begole, Takashi
Matsumoto, Wei Zhang, Juan Liu. “Responsive
mirror: fitting information for fitting rooms”. To appear in Workshop on Ambient Persuasion at CHI 2008.
[4]
Wei Zhang,
Bo Begole, Maurice Chu, Juan Liu, Nick Yee. “Real-Time
Clothes Comparison Based on Multi-View Vision”. Accepted to 2nd ACM/IEEE International Conference on Distributed
Smart Cameras (ICDSC-2008).
[5] Wei Zhang, Thomas G. Dietterich. “Learning
Visual Dictionaries and Decision Lists for Object Recognition”. Accepted to
19th International Conference on Pattern
Recognition (ICPR-2008).
[6] Wei Zhang, Hongli Deng. “Understanding
Visual Dictionaries via Maximum Mutual Information Curves”. Accepted to 19th International Conference on Pattern
Recognition (ICPR-2008).
[7] Hongli Deng, Wei Zhang, Thomas G. Dietterich and Eric N. Mortensen. “Principal
Curvature-Based Region Detector for Object Recognition”. IEEE Computer Society Conference on Computer
Vision and Pattern Recognition (CVPR) 2007, oral paper.
[8] Wei Zhang,
Hongli Deng, Thomas G. Dietterich, Eric N. Mortensen. “A
Hierarchical Object Recognition System Based on Multi-scale Principal Curvature
Regions”. Proceedings of the
International Conference on Pattern Recognition (ICPR’06), Vol. I. 778-782,
2006.
[9] Enrique Larios, Hongli Deng, Wei Zhang, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew
Moldenke, David Lytle, Salvador Ruiz Correa, Eric Mortensen, Linda Shapiro, Tom
Dietterich (submitted). “Automated
Insect Identification through Concatenated Histograms of Local Appearance
Features”. Machine Vision and
Application (MVA), 2006.
[10] Eric N. Mortensen, Enrique L. Delgado,
Hongli Deng, David Lytle, Andrew Moldenke, Robert K. Paasch, Linda
Shapiro, Pengcheng Wu, Wei Zhang,
Thomas G. Dietterich (in press). “Pattern Recognition for Ecological Science
and Environmental Monitoring: An Initial Report”. In N. MacLeod and M. O'Neill (Eds.) Algorithmic Approaches to the Identification
Problem in Systematics.
[11] Congde Lu, Taiyi Zhang, Wei Zhang and Guang Yang. “An
Experimental Evaluation of Linear and Kernel-based Classifiers for Face Recognition”.
Lecture Notes in Computer Science,
ISNN (2) 2005:
124-130.
[12] Congde Lu, Taiyi Zhang and Wei Zhang. “Support
Vector Domain Classifier Based on Multiplicative Updates”. IEICE TRANSACTIONS on Fundamentals of
Electronics, Communications and Computer Sciences. 2004, Vol.E87-A No.8 pp.2051-2053.
[13] Congde Lu, Chunmei Zhang, Taiyi Zhang, and
Wei Zhang. “Kernel
Based Symmetrical Principal Component Analysis for Face Classification”. Neurocomputing. 2007.
[14] Wei Zhang,
Taiyi Zhang, Zhigang Chen and Na Lv “The Erasing and Writing of Off-chip FLASH
Memories using Memory Imaging”. Semiconductor
Technology, Vol 28 No 07, 2003.
[15] Wei Luo, Zhigang Chen, Cong Xi and Wei Zhang, “A