| Personal
Info |
|
 |
Professor, Dept of Automation, Tsinghua University; |
| Associate Editor, Pattern Recognition ; |
| Associate Editor, Jisuanji Xuebao; |
| Member of the Standing Council, Chinese Association of Artificial Intelligence; |
| |
| Contact |
| Email: |
zcs@mail.tsinghua.edu.cn |
| Tel: |
86-010-62782455(office) |
| 86-010-62782447(office) |
| Fax: |
86-010-62786911 |
| Mailing Address: |
Dept of Automation, Tsinghua University, Beijing,100084£¬China |
| |
Main
Experience
I received my B.S.degree in Mathematics from Beijing University
in 1986. Then I studied in the Department of Automation in Tsinghua University
and got my Ph.D degree there in 1992. Since July 1992, I worked as a teacher in
the Department of Automation in Tsinghua University.
Research Interests
My interests
are Pattern Recognition,Machine Learning, Artificial Intelligence, Computer Vision, Image Processing, Evolutional Computing, Complex Network etc. and collaborate with industrial community.
Research
Projects
The projects
I have worked on and I am working on:
Automated Fingerprint Identification System, Face Recognition, Biometrics, Thin File Circuit Automated Inspecting, Analysis of Reply Network in Bulletin Boards System, etc.
Curriculum
|
Undergraduate
Course
|
| Subject |
Introduction |
| Artificial
Intelligence |
A required course for senior students in Dept.Automation. |
|
|
|
Graduate
Course |
| Subject |
Introduction |
| Pattern
Recognition |
Pattern recognition focuses on the method of getting features in data and the analysis method of patterns.This course
introduces fundamental concepts, theories and algorithms
for pattern recognition which can be utilized in various fields to solve real problems.
Topics include: Bayesian Decision Theory, Parametric and non-parametric Learning, EM and GMM, Linear Discrimination Function, Support Vector Machine, KL Transform, Fuzzy Clustering, Fusion of Classifiers, Hidden Markov Model, etc. |
| Special
Topics on Intelligent Technology |
This course introduces some most important theories in intelligent technology. Students are requied to read papers and complete some projects.The contents include: Principal Component Analysis, Kernel based PCA, Kernel Based Techniques, ISOMAP & LLE, Active Learning; Intelligent Optimization Technology: Genetic Algorithm, MCMC; Multi-Agent and Distributed AI: Bayesion Network, etc. |
Published
Books
| 1. |
Artificial Neural Network And Computing On The Simulation Of Evolution,By
YanPingfan,ZhangChangshui,Tsinghua University Press,2000,November(In Chinese) |
| 2. |
Intelligent Infomation Processing And Intelligent Control, Coeditor,ZheJiang
Science and Technology Press(In Chinese) |
| 3. |
David Zhang,Automated Biometrics: Technologies and Systems,
Kluwer Acdemic Publisher, USA, June,2000 |
¡¡
Published
Papers
Papers
Published
recently (2002- )
List of Old Papers(1991-2001)
|