Shang Lifeng (尚利峰)

Computational Intelligence Lab

University of Electronic Science and Technology

Contact Information:

Address:

Phone: 86 - 13882278071

211 Hall, Room 1003

Email: lifengshang@gmail.com

Cheng Du, China

Education:

·         University of Electronic Science and Technology, China (UESTC), Chengdu, Sichuan.

School of Applied Mathematics (B.S., Graduated: Jul. 2004)

·         University of Electronic Science and Technology, China (UESTC), Chengdu, Sichuan.

School of Computer Science and Engineering (M.S., Graduation (expected): May 2007)

·         Member of CILAB, supervised by Professor Zhang Yi

Research Interests:

NEURAL NETWORK AND ITS APPLICATIONS

1.         Pulse Coupled Neural Network And Its Application

2.         Behavior of Pulse Coupled Neural Networks

PATTERN RECOGNITION

1.         Automatic Chinese Seal Verification

2.         Fingerprint Identification by PCNN Methods

IMAGE PROCESSING

1.         Extract Specified Geometric Images From Complex Background

2.         Image Segmentation Based on PDE Method

Selected Publications:

1.        Lifeng Shang and Zhang Yi, A Class of Binary Images Thinning Using Two PCNNs, Neurocomputing, vol. 70, pp. 1096-1101, Jan. 2007. (PDF)

2.         Lifeng Shang, Jian Cheng Lv and Zhang Yi, Rigid Medical Image Registration Using PCA Neural Network, Neurocomputing, vol. 69, pp. 1717-1722, Aug. 2006. (PDF)

3.        Lifeng Shang, Zhang Yi and Luping Ji, Binary Image Thinning Using Autowaves Generated by PCNN, Neural Processing Letters, vol. 25, pp. 49-62, Feb. 2007. (PDF)

4.        Ji Luping, Lifeng Shang and Guisong Liu, On High Dimensional Pulse Coupled Neural Network, Dynamics of Continuous, Discrete and Impulsive Systems, Series B: Applications & Theory (Accepted). (PDF)

5.        Lifeng Shang, Zhang Yi and Quanfang Zhang A Novel Seal Imprint Extraction Method Based on PCNN and Morphology, Neural Computing & Applications (Submitted).

6.        Ji Luping, Zhang Yi and Lifeng Shang, Binary Fingerprint Images Thinning using Templates-Based PCNNs, IEEE Trans. on Systems, Man and Cybernetics, Part B (Accepted).

7.        Ji Luping, Zhang Yi and Lifeng Shang, An Improved Pulse Coupled Neural Network for Image Processing, Neural Computing & Applications (Accepted).

Presentations:

·         PCNN’s and Its Applications in Image Processing, UESTC Computational Intelligence Lab, Jun

·         Fast Convergence of Spike Sequences to Periodic Patterns in Recurrent Networks, UESTC Computational Intelligence Lab, Dec. 2004

Some Links:

CILAB UESTC

CVGPR

为学之力，贵乎循序渐进，经久不辍