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)-2788 7378 Email: eeleungc@cityu.edu.hk

Course Page

EE5410

Research Interests

Signal Processing for Communications
Neural Networks
Pattern Recognition
Computer Graphics

Selected Publications:

1.	Chi-Wing Fu, Liang Wan, Tien-Tsin~Wong, and Chi-Sing~Leung, “The Rhombic Dodecahedron Map: An Efficient Scheme for Encoding Panoramic Video,” *IEEE Transactions on Multimedia,* (accepted)
2.	X. Liu, Liang Wan, Y. Q, T.T. Wong, S. Lin, C.S. Leung, P.A. Heng, “Intrinsic Colorization,” ACM Transactions on Graphics, Vol. 27, No. 5, 2008.
3.	X. Xu, L. Wan, X. Liu, T.T. Wong, L.Wang, and C.S. Leung, “Animating Animal Motion from Still,” ACM Transactions on Graphics, Vol. 27, No. 5, December 2008.
4.	P.M. Lam+, C.S. Leung, and T.T. Wong, “Noise-resistant fitting for spherical harmonics,” *IEEE Transactions on Visualization and Computer Graphics*, vol.12, 2006, pp. 254-265.
5.	Liang Wan, Tien-Tsin Wong, Chi-Sing Leung, “Isocube: Exploiting the Cubemap Hardware,” *IEEE Transactions on Visualization and Computer Graphics*, Volume 13, Issue 4, July-Aug. 2007 Page(s):720 – 731.
6.	C.S. Leung, T.T. Wong, P.M. Lam+, and K.H. Choy+, “An RBF-based image compression method for image-based rendering", *IEEE Transactions on Image Processing*, vol. 15, 2006, pp. 1031-1041.
7.	P.M. Ho+, T.T. Wong, and C.S. Leung, “Compressing the illumination-adjustable images with principal component analysis,” *IEEE Transactions on Circuits and Systems for Video Technology*, March 2005, pp. 355-364.
8.	T.T. Wong, and C.S. Leung, “Compression of illumination adjustable image,” *IEEE Transactions on Circuits and Systems for Video Technology*, vol. 13, Nov. 2003, pp. 1107 -1118.
9.	T.T. Wong, C.S. Leung, P.A. Heng, J. Wang, “Discrete Wavelet Transform on Consumer-Level Graphics Hardware,” *IEEE Transactions on Multimedia.* Volume 9, Issue 3, April 2007, pp. 668-673. .
10.	T.T.Wong, C.W. Fu+, P.A. Heng, C.S. Leung, “The plenoptic-illumination function,” *IEEE Transactions on Multimedia,* vol. 3, 2002, pp. 361-371. (IEEE Transactions on Multimedia 2005 Prize Paper Award)
11.	C.S. Leung, “Optimum learning for bidirectional associative memory in the sense of capacity,” *IEEE Transactions on Systems, Man, and Cybernetics*, vol.24, 1994, pp.791-796.
12.	C.S. Leung, L.W. Chan, and Edmund Lai, “Stability, capacity, and statistical dynamics of second-order bidirectional associative memory,” *IEEE Transactions on Systems, Man, and Cybernetics*, vol.25, 1995, pp.1414-1423.
13.	C.S. Leung, “Encoding method for bidirectional associative memory using projection on convex sets,” *IEEE Transactions on Neural Networks*, vol.4, 1993, pp.879-881.
14.	C.S. Leung, L.W. Chan, and Edmund Lai, “Stability and statistical properties of second-order bidirectional associative memory,” *IEEE Transactions on Neural Networks*, vol.8, 1997, pp.267-277.
15.	J. Sum+, Chi Sing Leung, L.W. Chan, L. Xu, “Yet another algorithm which can generate topography map,” *IEEE Transactions on Neural Networks*, Vol. 8, 1997, pp. 1204-1207.
16.	C.S. Leung and L.W. Chan, “Transmission of vector quantization data over a noisy channel,” *IEEE Transactions on Neural Networks*, vol.8, 1997, pp.582-589.
17.	John Sum+, C.S. Leung, P.K.S. Tam, G.H. Young, W.K. Kan, and L.W. Chan, “Analysis for a class of WTA model,” *IEEE Transactions on Neural Networks*, vol.10 1999, pp.64-71.
18.	John Sum+, C.S. Leung, G.H. Young, and W.K. Kan, “On the Kalman filtering method in neural networks training and pruning,” *IEEE Transactions on Neural Networks*, vol.10, 1999, pp.161-165.
19.	C.S. Leung, G.H. Young, John Sum+, and W.K. Kan, “On the regularization of forgetting recursive least square,” *IEEE Transactions on Neural Networks*, vol. 10 , 1999, pp. 1482 –1486.
20.	C.S. Leung, A.C. Tsoi, and L.W. Chan “Two regularizers for RLS algorithms in feedforward multilayered neural networks,” *IEEE Transactions on Neural Networks*, vol. 12, 2001, pp. 1314-1332.
21.	Yong Xu+, K.W. Wong, and C.S. Leung, “Generalized RLS Approach to the Training of Neural Networks,” *IEEE Transactions on Neural Networks*, vol. 17, 2006, pp. 19-34.
22.	Chi Sing Leung and John Sum, “A Fault-Tolerant Regularizer for RBF Networks,” *IEEE Transactions on Neural Networks*, Volume 19, Issue 3, March 2008 Page(s):493 – 507.
23.	John Sum, Chi Sing Leung, and Kelvin Ho, “On objective function, regularizer and prediction error of a learning algorithm for dealing with multiplicative weight noise,” *IEEE Transactions on Neural Networks*, accepted for publications.
24.	C.S. Leung and L.W. Chan, “An error control scheme for the transmission of vector quantized data over noisy channels,” *IEEE Transactions on Signal Processing*, vol.40, 1998, pp.2767-2780.
25.	John Sum+, Hong Shen, C.S. Leung, and G.H. Young, “Analysis on a mobile agent based algorithm for network routing and management,” *IEEE Transactions on Parallel and Distributed Systems*, vol.14, 2003, pp. 192-202.
26.	Sen Jiang+, P. Li, Hong Sun, and C.S.Leung, “Modified LMMSE Turbo Equalization,” *IEEE Communications Letters*, vol. 8 March 2004, pp. 174 – 176.
27.	C.S. Leung and L.W. Chan, “The behaviour of forgetting learning in bidirectional associative memory,” *Neural Computation*, vol.9, 1997, pp.385-402.
28.	John Sum+, L.W. Chan, C.S. Leung, G. Young, “Extended kalman filter based pruning method for recurrent neural networks,” *Neural Computation*, vol.10, 1998, pp.1481-1505.
29.	John Sum+, C.S. Leung, L.W. Chan, W.K. Kan, and G. Young, “An adaptive Bayesain pruning for neural network in nonstationary environment,” *Neural Computation*, vol. 11, 1999, pp. 965-976.
30.	C.S. Leung and L.W. Chan, “Design of trellis vetor quantizers using Kohonen maps,” *Neural Networks*, vol. 12, 1999, pp. 907-914.
31.	C.S. Leung, K.W. Wong, John Sum+, and L.W. Chan, “A pruning method for recursive least square algorithm,” *Neural Networks*, vol. 14, 2001, pp. 147-174.
32.	C.S. Leung, “Letter to Editor,” *Neural Networks*, vol. 15, 2002, pp. 299.
33.	C.S. Leung and L.W. Chan, “Dual extended Kalman filtering algorithm in recurrent neural networks,” *Neural Networks*, vol. 16, 2003, pp. 223-239.
34.	Ze Wang+, C.S. Leung, Y.S. Zhu and T.T. Wong, “Data Compression with spherical wavelets and Wavelets for the Image-Based Relighting,” *Computer Vision and Image Understanding*, vol. 96, Dec, 2004, pp. 327-344.
35.	Ze Wang+, C.S. Leung, T. T. Wong, and Y.S. Zhu, “Eigen-image based compression for the image-based relighting with cascade RLS networks,” *Pattern Recognition*, vol. 37, 2004, pp. 1219-1231.
36.	Tze-Yui Ho, Ping-Man Lam, and Chi-Sing Leung, “Parallelization of Cellular Neural Networks on GPU,” *Pattern Recognition* Volume 41 , Issue 8 (August 2008) table of contents. Pages 2684-2692.
37.	Chi-Sing Leung, Ping-Man Lam a, Tien-Tsin Wong , “A GPU favor representation method for plenoptic-illumination function based on an efficient spherical partition scheme,” *Signal Processing: Image Communication (accepted).*
38.	Ping-Man Lam, Tze-Yui Ho, Chi-Sing Leung and Tien-Tsin Wong, “Noise-proofing the doubly SH-projected coefficients for synthesizing images under environment lighting,” *Signal Processing: Image Communication*, Volume 22, Issue 5, June 2007, Pages 466-479.
39.	T.Y. Ho+, P.M. Lam+, C.S. Leung, and T.T. Wong, “GPU-friendly rendering for illumination adjustable images,” *Signal Processing: Image Communications*, Volume 21 , Issue 10 (November 2006) Pages 919-933 .
40.	P.M. Lam+, C.S. Leung, and T.T. Wong, “A compression method for a massive image data set in image based rendering,” *Signal Processing: Image Communications*, vol. 19, Issue 8, Sept, 2004, pp. 741-754.
41.	Ze Wang+, C.S. Leung, Y.S. Zhu and T.T. Wong, “Data compression on the illumination adjustable images by PCA and ICA,” *Signal Processing: Image Communications*, vol. 19, Nov, 2004, pp. 939-954.
42.	X. Liao+, K.W. Wong, C.S. Leung, and Z. Wu, “Hopf bifurcation and chaos in a single delayed neuron equation with non-monotonic activation function,” *Chaos, Solitons & Fractals*, vol. 12, 2001, pp. 1535-1547.
43.	C.S. Leung, K.W. Wong and A.C. Tsoi, “Recursive algorithms for principal component extraction,” *Network: Computation in Neural Systems*, vol.8, 1997, pp.323-334.
44.	C.S. Leung, K.W. Wong, John Sum+, and L.W. Chan, “On-line training and pruning for RLS algorithms,” *Electronics Letters*, vol.32, 1996, pp.2152-2153.
45.	Arnold S.Y. Wong+,K.W. Wong, and C.S. Leung, “Recursive least squares approach to combining principal and minor components analyses,” *Electronics Letters*, 1998, vol. 34, pp.1074-1076.
46.	S.J. Chang+, K.W. Wong, and C.S. Leung, “Periodic activation function for fast on-line EKF training and pruning,” *Electronics Letters*, vol. 34, 1998, pp.2255-2256.
47.	S. J. Chang+, John Sum, K, W. Wong and C.S.Leung, “Adaptive training and pruning in feedforward networks” *Electronics Letters*, vol. 37, 2001, pp. 106 –107.
48.	Sen Jiang+,B.M. Bai^,+ C.S. Leung, Ping Li, and Hong Sun, “TTCM Schemes based on the time-varying trellis approach,” *Electronics Letters*, vol. 38, 2002, pp. 1694-1696.
49.	John Sum and Chi-sing Leung, “Prediction error of a fault tolerant neural network,” accepted in *Neurocomputing*.
50.	C.S. Leung, Herbert Chan+, and W.H. Mow, “Soft-Decoding SOM for VQ Over Wireless Channels,” *Neural Processing Letters*, vol. 24, 2006, pp. 179–192.
51.	K.W. Wong and C.S. Leung, “On-line successive synthesis of wavelet networks,” *Neural Processing Letters*, vol.7, 1998, pp.91-100.
52.	Arnold S.Y. Wong+, K.W. Wong, and C.S. Leung, “A practical sequential method for principal component analysis,” *Neural Processing Letters*, vol. 11, 2000, pp. 107-112.
53.	S. J. Chang+, K, W. Wong and C.S.Leung, “Combining DEKF algorithm and trace rule for fast on-line invariance extraction and recognition,” *Pattern Recognition Letters*, vol. 21, 2001, pp. 493-501.
54.	Ze Wang+, Y. Lee, S. Fior, C.S. Leung, and Y.S. Zhu, “An improved sequential method for principal components analysis,” *Pattern Recognition Letters*, vol. 24, 2003, pp. 1405-1415.
55.	Ze Wang+, Y. Lee, C.S Leung, T.T Wong and Y-S Zhu , “An improved optimal bit allocation method for sub-band coding,” *Pattern Recognition Letters*, vol. 24, December 2003, pp. 3007-3013.
56.	John Sum+, Hong Shen, Jie Wu, G.H. Young and C.S. Leung, “Analysis on extended ant routing algorithm for network routing and management,” *Journal of Supercomputing*, vol. 24, 2003, pp. 327-340.
57.	C.S. Leung, John Sum+, and Herbert Chan+, “Improved transmission of vector quantized data over noisy channels,” *Neural Computing and Applications*, Volume 17 , Issue 1 (November 2007) Pages: 1 – 9.
58.	C.S. Leung and A.C. Tsoi, “Combine learning and pruning for recurrent radial basis function networks based on recursive least Square algorithm,” *Neural Computing and Applications*, vol. 15, 2006, pp. 62-79.
59.	K.W. Wong and C.S. Leung, “Use of periodic and monotonic activation functions in multi-layer feedforward neural networks trained by extended Kalman filtering algorithm,” *IEE* *Proceedings - Vision, Image and Signal Processing*, vol.149, 2002, pp. 217 -224.
60.	Ze Wang+, C.S. Leung, T. T. Wong, P.M. Lam, and Y.S. Zhu, “Compressing an image-based relighting data set using eigen–analysis and wavelets,” *IEE* *Proceedings - Vision, Image and Signal Processing*, vol. 151, Issue 5, OCT, 2004, pp. 378 – 388.