LEUNG, Chi-Sing

B.Sc.(CUHK) M.Phil.(CUHK) Ph.D.(CUHK)

Chi-Sing Leung has been working on image-based rendering and neural networks for 20 years. He has published over 60 international journal papers and 10 book chapters.  He received the IEEE Transactions on Multimedia 2005 Prize Paper Award for the paper titled,  “The Plenoptic Illumination Function” in IEEE Trans. on Multimedia, Vol. 4, Issue 3, September, 2002.  He proposed a two-level compression mjthod for illumination adjustable images and the corresponding real-time rendering methods. He has written several game development related articles in Shader X3, Shader X4, and Shader X6 . Since 2000, he has been providing programming consultancy services to Development Bank of Singapore (Hong Kong). In 2007, he gave a lecture, “Is there anything comparable to spherical harmonics but simpler?,  in Game Developers Conference 2007 San Francisco. He is also a governing board member of the Asian Pacific Neural Network Assembly (APNNA).

 


Phone: (852)-3442 7378 Email: eeleungc@cityu.edu.hk


Research Interests


Vacancies

*       Full-time research student positions

I would like to recruit graduate students who have strong interests in pursuing their Ph.D. in the area of machine learning, neural networks, signal processing, computer graphics, and computer vision. Potential candidates should possess a first-class honor (or average marks >85 or GPA > 3.5)  master degree in Electronic Engineering, Computer Engineering or other relevant disciplines.

If you are interested, please send me an email with a brief resume.

*       Postdoctoral fellow position

*   I would like to recruit a postdoctoral fellow who has strong background on mathematics and statistics. It is expected that the postdoctoral fellow will perform research on fault tolerant neural networks. Potential candidates should possess a Ph.D. in Electronic Engineering, Computer Engineering or other relevant disciplines.

If you are interested, please send me an email with a brief resume. Interested candidates from mainland can apply for the Hong Kong Scholars Program.

 


Selected Publications:

1

Chi Sing Leung and John Sum, “RBF Networks Under the Concurrent Fault Situation,  accepted for publication in IEEE Transactions on Neural Networks and Learning Systems [Previous name is IEEE Transactions on Neural Networks].

 

2

John Sum, Chi Sing Leung and K. Ho,  Convergence analyses on on-line weight noise injection-based training algorithms for MLPs,”  accepted for publication in IEEE Transactions on Neural Networks and Learning Systems [Previous name is IEEE Transactions on Neural Networks].

 

3

Yi Xiao , Yuxin Liu, Chi-Sing Leung, John Sum, K. Ho, “Analysis on the Convergence Time of Dual Neural Network-Based KWTA,” IEEE Transactions on Neural Networks and Learning Systems, 23 (4), 676-682, April 2012. [Previous name is IEEE Transactions on Neural Networks]

 

4

Yi Xiao, Liang Wan, Chi-Sing Leung, Yu-Kun Lai, and Tien-Tsin Wong, “Example-based Color Transfer for Gradient Meshes,” accepted for publication in IEEE Transactions on Multimedia.

 

5

John Sum, Chi-Sing Leung,  K. Ho, “On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis ,” IEEE Transactions on Neural Networks and Learning Systems, 23 (2), 211-222, Feb 2012. [Previous name is  IEEE Transactions on Neural Networks]

 

6

Liang Wan, Shue-Kwan Mak, Tien-Tsin Wong, Chi-Sing Leung, “Spatio-Temporal Sampling of Dynamic Environment Sequences,” IEEE Transactions on Visualization and Computer Graphic, 17 (10), pp. 1499-1509, Oct 2011.

 

7

K. Ho,  Chi Sing Leung, and J. Sum, J., “Objective functions of online weight noise injection training algorithms for MLPs,” IEEE Transactions on Neural Networks, 22(2), pp 317-323, Feb 2011.

 

8

T.Y. Ho, L. Wan, Chi Sing Leung, P.M. Lam, and T.-T. Wong, “Unicube for dynamic environment mapping,IEEE Transactions on Visualization and Computer Graphics, 17(1), pp 51-63, Jan 2011.

 

9

K. HO, Chi Sing Leung, and John SUM, “Convergence and Objective Functions of Some Fault/Noise-Injection-Based Online Learning,” IEEE Transactions on Neural Networks,  vol. 21,  6, JUNE 2010, 938-947.  

 

10

Chi Sing Leung, H.J. Wang, and J. Sum, “On the selection of weight decay parameter for faulty networks,” IEEE Transactions on Neural Networks, 21(8), pp 1232-1244, Aug 2010.