Ying Tan, ProfessorPh.D. Supervisor

National Laboratory on Machine Perception
Department of Intelligence Science
School of Electronic Engineering and Computer Science
Peking University, Beijing 100837, CHINA
Tel: 86-10-62767611
Fax: 86-10-62767611
Mobile: 86-13581667196
E-mail: ytan@pku.edu.cn



Research Interests

1. Computational Intelligence

2. Intelliption (Intelligent Perception) 

3. Signal/Image/Intelligent Info. Processing

4. Pattern Recognition

5. Data Mining and Knowledge Discovery


Student Recruitment

Welcome students from universities and institutes worldwide in major of electronics, information technology, computer science and mathematics, etc., to join us. 


Postdoc Position

Welcome Ph.D. holder in the research directions of computational intelligence, AIS and its application in computer security, etc., from universities and institutes worldwide to do postdoc research in our group. 


 

Courses

1. Machine Learning(slides.ppt), Undergraduate.

(Time: 10:10-12:00am, Friday, Nov.25, 2005, Location: Room C109, International Relation Building)

2. Intelligent Information Processing, Undergraduate.

(Time:  Sept., 2007, Location: Room C109, International Relation Building)

3. Modeling Immune System and Artificial Immunocomputing (slides.ppt), Graduates.

(Time: Friday, Dec.12, 2005, Location: Room 2306, No. 2 Science Builing)

4. Computational Intelligence (slides.ppt, Course outline), M.S.& Ph.D. students

 (Time: Each Evening Thirsday, Feb., 2006, Location: Room 2306, No. 2 Science Builing) 


Selected Publications (as First Author)

A Support Vector Network with Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension, IEEE Trans. On Knowledge and Data Engineering, Vol., No.2, pp.385-395, April 2004.

A Neural Network Approach for Signal Detection in Digital Communications, Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Vol. 32, No. 2, 2002, pp. 45-54.

Nonlinear Blind Separation Using Higher-Order Statistics and A Genetic Algorithm, IEEE Transaction on Evolutionary Computation, Vol.5, No.6, pp. 600-612, Dec. 2001.

Nonlinear Blind Source Separation Using Radial Basis Function Networks, IEEE Transaction on Neural Networks, Vol.12, No.1, pp.124-134, Jan. 2001.

Solving for a Quadratic Programming with a Quadratic Constraint Based on a Neural Network Frame, Neurocomputing, Vol. 30, pp.117-128, 2000.

A Unified Framework for Synthesis of Cosine-modulated Filter Banks and Corresponding Wavelets, Springer-Verlag, Lecture Notes on Computer Science 3888, Proceedings of 2005 InternationalSymposium on Neural Networks, (ISNN2005), Chongqing, China, May 30-June 1, 2005.

Algorithms of Non-self Detector by Negative Selection Principle in Artificial Immune System. Springer-Verlag, Lecture Notes on Computer Science 3611, ICNC (2) 2005: 867-875.

An RBF Network Method For Blind Signal Separation, Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN2002)---2002 World Congress on Computational Intelligence (WCCI2002), Hawaii, U.S.A., May 2002.

A Fast Searching Algorithm of Symmetrical Period Modulation Pattern Based on Accumulative Transformation Technique. Springer-Verlag, Lecture Notes on Computer Science 3611, ICNC (2) 2005: 493-500

An NN-based Malicious Executables Detection Algorithm based on Immune Principles, Springer-Verlag, Lecture Notes on Computer Science 3174, ISNN2004, Dalian, China, pp. 675-680, August 2004.

Visited London University, U.K.