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ORCIDAndrew Chi-Sing Leung
Chi-Sing Leung – Chi Sing Leung
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- affiliation: City University of Hong Kong
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2020 – today
- 2024
[j162]Yin-Chi Chan
, Jingjin Wu, Eric W. M. Wong, Chi Sing Leung:
Integrating teletraffic theory with neural networks for quality-of-service evaluation in mobile networks. Appl. Soft Comput. 152: 111208 (2024)- [j161]Zhenni Wang, Tze-Yui Ho, Yi Xiao, Chi Sing Leung:
Temporal vectorized visibility for direct illumination of animated models. Comput. Vis. Media 10(6): 1045-1062 (2024) - [j160]Wenxin Xiong, Jiajun He, Hing Cheung So, Chi-Sing Leung:
An ADMM approach for elliptic positioning in non-line-of-sight environments. Digit. Signal Process. 154: 104653 (2024) - [j159]Wenxin Xiong, Jiajun He, Keyuan Hu, Hing Cheung So, Chi-Sing Leung:
Robust Multidimensional Similarity Analysis for IoT Localization With SαS Distributed Errors. IEEE Internet Things J. 11(21): 35492-35504 (2024) - [j158]Xiao Peng Li, Chi-Sing Leung, Hing Cheung So:
Sparse recovery under nonnegativity and sum-to-one constraints. Inf. Sci. 679: 121059 (2024) - [j157]Wenxin Xiong, Jiajun He, Hing Cheung So, Junli Liang, Chi-Sing Leung:
ℓp-norm minimization for outlier-resistant elliptic positioning in α-stable impulsive interference. J. Frankl. Inst. 361(1): 21-31 (2024) - [j156]Wenxin Xiong, Yuming Chen, Jiajun He, Zhang-Lei Shi, Keyuan Hu, Hing Cheung So, Chi-Sing Leung:
A semidefinite programming approach for robust elliptic localization. J. Frankl. Inst. 361(18): 107237 (2024) - [j155]Xiao-Peng Li, Zhang-Lei Shi, Chi-Sing Leung, Hing Cheung So:
Projected gradient descent method for cardinality-constrained portfolio optimization. J. Frankl. Inst. 361(18): 107267 (2024) - [j154]Yuqi Xiao, Muideen Adegoke, Chi-Sing Leung, Kwok Wa Leung:
Robust noise-aware algorithm for randomized neural network and its convergence properties. Neural Networks 173: 106202 (2024) - [j153]Hiu-Tung Wong, Jiajie Mai, Zhenni Wang, Chi-Sing Leung:
Generalized M-sparse algorithms for constructing fault tolerant RBF networks. Neural Networks 180: 106633 (2024) - [j152]Qingping Sun, Zhenni Wang, Chi-Sing Leung, Yi Xiao:
Real-Time Lighting Effects for Consumer-Grade Mobile Graphics Hardware. IEEE Trans. Consumer Electron. 70(1): 338-349 (2024) - [j151]Yiu Yu Chan, Xiao Peng Li, Jiajie Mai, Chi-Sing Leung, Hing Cheung So:
Sparse Unmixing in the Presence of Mixed Noise Using ℓ0-Norm Constraint and Log-Cosh Loss. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j150]Hao Wang, Jinpeng Cao, Zhanglei Shi, Chi-Sing Leung, Ruibin Feng, Wenming Cao, Yuxin He:
Image Classification on Hypersphere Loss. IEEE Trans. Ind. Informatics 20(4): 6531-6541 (2024) - [j149]Zhanglei Shi, Xiao Peng Li, Chi-Sing Leung, Hing Cheung So:
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2901-2909 (2024) - [j148]Wenhao Lu, Chi-Sing Leung, John Sum:
Influence of Imperfections on the Operational Correctness of DNN-kWTA Model. IEEE Trans. Neural Networks Learn. Syst. 35(10): 15021-15029 (2024) - [j147]Wenhao Lu, Yuanjin Zheng, Chi-Sing Leung:
Effect of Time-Varying Multiplicative Noise on DNN-kWTA Model. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18922-18930 (2024) - [j146]Keyuan Hu, Wenxin Xiong, Zhi-Yong Wang, Hing Cheung So, Chi-Sing Leung:
Robust 3-D AOA Localization Based on Maximum Correntropy Criterion With Variable Center. IEEE Trans. Signal Process. 72: 5021-5035 (2024) - [c68]Qingping Sun, Yanjun Wang, Ailing Zeng, Wanqi Yin, Chen Wei, Wenjia Wang, Haiyi Mei, Chi-Sing Leung, Ziwei Liu, Lei Yang, Zhongang Cai:
AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation. CVPR 2024: 1834-1843 - [i4]Qingping Sun, Yanjun Wang, Ailing Zeng, Wanqi Yin, Chen Wei, Wenjia Wang, Haiyi Mei, Chi Sing Leung, Ziwei Liu, Lei Yang, Zhongang Cai:
AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation. CoRR abs/2403.17934 (2024) - [i3]Xiaobao Song, Hao Wang, Liwei Deng, Yuxin He, Wenming Cao, Chi-Sing Leung:
D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding. CoRR abs/2409.11024 (2024) - 2023
- [j145]Yang Jing, Xuhui Fan, Jian Li, Hing Cheung So, Chi-Sing Leung:
Phase retrieval via Lagrange programming neural network. Digit. Signal Process. 143: 104231 (2023) - [j144]Zhaofeng Liu, Chi-Sing Leung, Hing Cheung So:
Formal convergence analysis on deterministic ℓ1-regularization based mini-batch learning for RBF networks. Neurocomputing 532: 77-93 (2023) - [j143]Hao Wang, Chi-Sing Leung, Andy Hau-Ping Chan, Anthony G. Constantinides, Wenming Cao:
Two analog neural models with the controllability on number of assets for sparse portfolio design. Neurocomputing 558: 126728 (2023) - [j142]Muideen Adegoke, Hiu Tung Wong, Andrew Chi-Sing Leung, John Sum:
Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks. J. Ambient Intell. Humaniz. Comput. 14(12): 15643-15657 (2023) - [j141]Keyuan Hu, Wenxin Xiong, Jiajun He, Chi-Sing Leung, Hing Cheung So:
Maximum Correntropy Criterion With Variable Center for Robust Passive Multistatic Localization. IEEE Signal Process. Lett. 30: 1407-1411 (2023) - [j140]Qingping Sun, Yi Xiao, Jie Zhang, Shizhe Zhou, Chi-Sing Leung, Xin Su:
A Local Correspondence-Aware Hybrid CNN-GCN Model for Single-Image Human Body Reconstruction. IEEE Trans. Multim. 25: 4679-4690 (2023) - [j139]Zhanglei Shi, Hao Wang, Chi-Sing Leung:
Constrained Center Loss for Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1080-1088 (2023) - [j138]John Sum, Chi-Sing Leung:
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2619-2632 (2023) - [j137]Hao Wang, Ruibin Feng, Chi-Sing Leung, John Sum, Anthony G. Constantinides:
A Globally Stable LPNN Model for Sparse Approximation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5218-5226 (2023) - [j136]Xiao Peng Li, Zhanglei Shi, Chi-Sing Leung, Hing Cheung So:
Sparse Index Tracking With K-Sparsity or ϵ-Deviation Constraint via ℓ0-Norm Minimization. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10930-10943 (2023) - [c67]Jie Zhang, Yi Xiao, Yan Zheng, Zhenni Wang, Chi-Sing Leung:
Semantic-Aware Gated Fusion Network For Interactive Colorization. ICASSP 2023: 1-5 - [c66]Gary Sum, John Sum, Andrew Chi-Sing Leung, Janet C. C. Chang:
A Distributed kWTA for Decentralized Auctions. ICONIP (8) 2023: 136-147 - [c65]Jiajie Mai, Chi-Sing Leung:
Robust Iterative Hard Thresholding Algorithm for Fault Tolerant RBF Network. ICONIP (7) 2023: 238-251 - [c64]Yiu Yu Chan, Chi-Sing Leung:
A Revamped Sparse Index Tracker Leveraging K-Sparsity and Reduced Portfolio Reshuffling. ICONIP (12) 2023: 499-512 - [c63]Qingping Sun, Yanjun Wang, Zhenni Wang, Chi-Sing Leung:
Learning Dense UV Completion for 3D Human Mesh Recovery. ICONIP (9) 2023: 558-569 - 2022
- [j135]Hiu Tung Wong, Ho-Chun Leung, Chi-Sing Leung, Eric Wing Ming Wong:
Noise/fault aware regularization for incremental learning in extreme learning machines. Neurocomputing 486: 200-214 (2022) - [j134]Hiu Tung Wong, Chi-Sing Leung, Sam Kwong:
Convergence analysis on the deterministic mini-batch learning algorithm for noise resilient radial basis function networks. Int. J. Mach. Learn. Cybern. 13(9): 2677-2690 (2022) - [j133]Wenhao Lu, Chi-Sing Leung, John Sum, Yi Xiao:
DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3184-3192 (2022) - [j132]Yi Xiao, Jin Wu, Jie Zhang, Peiyao Zhou, Yan Zheng, Chi-Sing Leung, Ladislav Kavan:
Interactive Deep Colorization and its Application for Image Compression. IEEE Trans. Vis. Comput. Graph. 28(3): 1557-1572 (2022) - [c62]Jie Zhang, Yi Xiao, Guo Chen, Qingping Sun, Fangqiang Xu, Chi-Sing Leung:
Histogram-Guided Semantic-Aware Colorization. ICASSP 2022: 2549-2553 - [c61]Hao Wang, Desmond Hui, Chi-Sing Leung:
Lagrange Programming Neural Networks for Sparse Portfolio Design. ICONIP (2) 2022: 37-48 - [c60]Wenhao Lu, Chi-Sing Leung, John Sum:
Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model. ICONIP (4) 2022: 202-214 - [c59]Muideen Adegoke, Yuqi Xiao, Chi-Sing Leung, Kwok Wa Leung:
A Robust ELM Algorithm for Compensating the Effect of Node Fault and Weight Noise. SCDM 2022: 69-78 - 2021
- [j131]Muideen Adegoke, Hiu Tung Wong, Chi Sing Leung:
A Fault Aware Broad Learning System for Concurrent Network Failure Situations. IEEE Access 9: 46129-46142 (2021) - [j130]Ho-Chun Leung, Zhenni Wang, Tze-Yui Ho, Chi Sing Leung, Eric Wing Ming Wong:
All Frequency Direct Illumination Using Visibility Correspondence Generated With Spherical Voronoi Diagrams. IEEE Access 9: 81296-81313 (2021) - [j129]Wenhao Lu, Chi-Sing Leung, John Sum:
Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines. IEEE Access 9: 112955-112965 (2021) - [j128]Yin-Chi Chan, Eric W. M. Wong, Chi Sing Leung:
Evaluating Non-Hierarchical Overflow Loss Systems Using Teletraffic Theory and Neural Networks. IEEE Commun. Lett. 25(5): 1486-1490 (2021) - [j127]Hiu Tung Wong, Chi-Sing Leung, Derek Ho:
Theoretical analysis and image reconstruction for multi-bit quanta image sensors. Signal Process. 185: 108087 (2021) - [c58]Jun Xia, Guanghua Tan, Yi Xiao, Fangqiang Xu, Chi-Sing Leung:
Edge-Aware Multi-Scale Progressive Colorization. ICASSP 2021: 1655-1659 - 2020
- [j126]Zhanglei Shi, Hao Wang, Chi-Sing Leung, Hing Cheung So, Junli Liang, Kim Fung Tsang, Anthony G. Constantinides:
Robust ellipse fitting based on Lagrange programming neural network and locally competitive algorithm. Neurocomputing 399: 399-413 (2020) - [j125]Xianyi Zhu, Yi Xiao, Guanghua Tan, Shizhe Zhou, Chi-Sing Leung, Yan Zheng:
GPU-accelerated 2D OTSU and 2D entropy-based thresholding. J. Real Time Image Process. 17(4): 993-1005 (2020) - [j124]John Sum, Chi-Sing Leung, Kevin Ho:
A Limitation of Gradient Descent Learning. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2227-2232 (2020) - [c57]Zhanglei Shi, Hao Wang, Chi-Sing Leung, John Sum:
Constrained Center Loss for Image Classification. ICONIP (5) 2020: 70-78 - [c56]Wenhao Lu, Chi-Sing Leung, John Sum:
Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function. ICONIP (3) 2020: 162-171 - [c55]Ersi Cha, Chi-Sing Leung, Eric Wing Ming Wong:
Convergence of Mini-Batch Learning for Fault Aware RBF Networks. ICONIP (5) 2020: 545-553 - [e21]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part IV. Communications in Computer and Information Science 1332, Springer 2020, ISBN 978-3-030-63819-1 [contents] - [e20]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V. Communications in Computer and Information Science 1333, Springer 2020, ISBN 978-3-030-63822-1 [contents] - [e19]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12532, Springer 2020, ISBN 978-3-030-63829-0 [contents] - [e18]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12533, Springer 2020, ISBN 978-3-030-63832-0 [contents] - [e17]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12534, Springer 2020, ISBN 978-3-030-63835-1 [contents]
2010 – 2019
- 2019
- [j123]Shuo Li, Ho-Chun Leung, Eric Wing Ming Wong, Chi Sing Leung:
Enhancement of Extreme Learning Machine for Estimating Blocking Probability of OCS Networks With Fixed-Alternate Routing. IEEE Access 7: 52319-52330 (2019) - [j122]Hao Wang, Zhanglei Shi, Hiu Tung Wong, Chi-Sing Leung, Hing Cheung So, Ruibin Feng:
An ℓ0-Norm-Based Centers Selection for Failure Tolerant RBF Networks. IEEE Access 7: 151902-151914 (2019) - [j121]Ho-Chun Leung, Chi Sing Leung, Eric Wing Ming Wong:
Fault and Noise Tolerance in the Incremental Extreme Learning Machine. IEEE Access 7: 155171-155183 (2019) - [j120]Zhenni Wang, Tze-Yui Ho, Chi Sing Leung, Eric Wing Ming Wong:
Seamless Mipmap Filtering for Dual Paraboloid Maps. Comput. Graph. Forum 38(7): 437-448 (2019) - [j119]Jing Dong, Yuxin Zhao, Chang Liu, Zi-Fa Han, Chi-Sing Leung:
Orthogonal least squares based center selection for fault-tolerant RBF networks. Neurocomputing 339: 217-231 (2019) - [j118]Junli Liang, Pengliang Li, Deyun Zhou, Hing-Cheung So, Ding Liu, Chi-Sing Leung, Liansheng Sui:
Robust ellipse fitting via alternating direction method of multipliers. Signal Process. 164: 30-40 (2019) - [j117]John Sum, Chi-Sing Leung:
Learning Algorithm for Boltzmann Machines With Additive Weight and Bias Noise. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3200-3204 (2019) - [c54]Yi Xiao, Peiyao Zhou, Yan Zheng, Chi-Sing Leung:
Interactive Deep Colorization Using Simultaneous Global and Local Inputs. ICASSP 2019: 1887-1891 - [c53]Muideen Adegoke, Chi-Sing Leung, John Sum:
Fault Tolerant Broad Learning System. ICONIP (4) 2019: 95-103 - [c52]John Sum, Chi-Sing Leung:
Analysis on Dropout Regularization. ICONIP (5) 2019: 253-261 - [c51]Hiu Tung Wong, Zhenni Wang, Chi-Sing Leung, John Sum:
Explicit Center Selection and Training for Fault Tolerant RBF Networks. ICONIP (2) 2019: 273-285 - 2018
- [j116]Hao Wang, Ruibin Feng, Andrew Chi-Sing Leung, Kim Fung Tsang:
Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization. Cogn. Comput. 10(1): 23-34 (2018) - [j115]Liang Wan, Yi Xiao, Ning Dou, Chi-Sing Leung, Yu-Kun Lai:
Scribble-based gradient mesh recoloring. Multim. Tools Appl. 77(11): 13753-13771 (2018) - [j114]Hao Wang, Ching Man Lee, Ruibin Feng, Chi Sing Leung:
An analog neural network approach for the least absolute shrinkage and selection operator problem. Neural Comput. Appl. 29(9): 389-400 (2018) - [j113]Ruibin Feng, Chi-Sing Leung, John Sum:
Robustness Analysis on Dual Neural Network-based k WTA With Input Noise. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1082-1094 (2018) - [j112]Hao Wang, Ruibin Feng, Zi-Fa Han, Chi-Sing Leung:
ADMM-Based Algorithm for Training Fault Tolerant RBF Networks and Selecting Centers. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3870-3878 (2018) - [j111]Zi-Fa Han, Chi Sing Leung, Hing-Cheung So, Anthony G. Constantinides:
Augmented Lagrange Programming Neural Network for Localization Using Time-Difference-of-Arrival Measurements. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3879-3884 (2018) - [j110]John Sum, Chi-Sing Leung, Kevin I.-J. Ho:
On Wang k WTA With Input Noise, Output Node Stochastic, and Recurrent State Noise. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4212-4222 (2018) - [j109]Yi Xiao, Tze-Yui Ho, Chi-Sing Leung:
Summed Area Tables for Cube Maps. IEEE Trans. Vis. Comput. Graph. 24(10): 2773-2786 (2018) - [c50]Muideen Adegoke, Andrew Chi-Sing Leung, John Sum:
A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements. ICONIP (2) 2018: 308-320 - [c49]Hao Wang, Andrew Chi-Sing Leung, John Sum:
MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers. ICONIP (2) 2018: 668-679 - [c48]Muideen Adegoke, Andrew Chi-Sing Leung, John Sum:
Fault-Resistant Algorithms for Single Layer Neural Networks. ICONIP (2) 2018: 680-689 - [e16]Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11301, Springer 2018, ISBN 978-3-030-04166-3 [contents] - [e15]Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11302, Springer 2018, ISBN 978-3-030-04178-6 [contents] - [e14]Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11303, Springer 2018, ISBN 978-3-030-04181-6 [contents] - [e13]Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11304, Springer 2018, ISBN 978-3-030-04211-0 [contents] - [e12]Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part V. Lecture Notes in Computer Science 11305, Springer 2018, ISBN 978-3-030-04220-2 [contents] - [e11]Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part VI. Lecture Notes in Computer Science 11306, Springer 2018, ISBN 978-3-030-04223-3 [contents] - [e10]Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part VII. Lecture Notes in Computer Science 11307, Springer 2018, ISBN 978-3-030-04238-7 [contents] - [i2]Hao Wang, Ruibin Feng, Chi-Sing Leung:
Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework. CoRR abs/1805.11949 (2018) - [i1]Hao Wang, Chi-Sing Leung, Hing-Cheung So, Ruibin Feng, Zi-Fa Han:
l0-norm Based Centers Selection for Failure Tolerant RBF Networks. CoRR abs/1805.11987 (2018) - 2017
- [j108]Ruibin Feng, Zi-Fa Han, Wai-Yan Wan, Chi-Sing Leung:
Properties and learning algorithms for faulty RBF networks with coexistence of weight and node failures. Neurocomputing 224: 166-176 (2017) - [j107]Chi Sing Leung:
Special issue on ACML 2015. Neurocomputing 258: 1-2 (2017) - [j106]Ho-Chun Leung, Chi Sing Leung, Eric W. M. Wong, Shuo Li:
Extreme Learning Machine for Estimating Blocking Probability of Bufferless OBS/OPS Networks. JOCN 9(8): 682-692 (2017) - [j105]John Sum, Andrew Chi-Sing Leung:
Editorial for Special Issue on ICONIP 2014. Neural Process. Lett. 45(3): 727-728 (2017) - [j104]Zi-Fa Han, Chi-Sing Leung, Long-Ting Huang, Hing-Cheung So:
Sparse and Truncated Nuclear Norm Based Tensor Completion. Neural Process. Lett. 45(3): 729-743 (2017) - [j103]Chi-Sing Leung, Wai-Yan Wan, Ruibin Feng:
A Regularizer Approach for RBF Networks Under the Concurrent Weight Failure Situation. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1360-1372 (2017) - [j102]Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides, Wen-Jun Zeng:
Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2395-2407 (2017) - [c47]Hiu Tung Wong, Chi-Sing Leung, Sam Kwong:
A Generalized I-ELM Algorithm for Handling Node Noise in Single-Hidden Layer Feedforward Networks. ICONIP (1) 2017: 424-433 - [c46]Hao Wang, Ruibin Feng, Chi-Sing Leung, Hing-Cheung So:
A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting. ICONIP (3) 2017: 686-696 - [c45]Yik Lam Lui, Hiu Tung Wong, Chi-Sing Leung, Sam Kwong:
Noise Resistant Training for Extreme Learning Machine. ISNN (2) 2017: 257-265 - [e9]Fengyu Cong, Andrew Chi-Sing Leung, Qinglai Wei:
Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10261, Springer 2017, ISBN 978-3-319-59071-4 [contents] - [e8]Fengyu Cong, Andrew Chi-Sing Leung, Qinglai Wei:
Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10262, Springer 2017, ISBN 978-3-319-59080-6 [contents] - 2016
- [j101]Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides:
LCA based RBF training algorithm for the concurrent fault situation. Neurocomputing 191: 341-351 (2016) - [j100]Yi Xiao, Ruibin Feng, Chi-Sing Leung, John Sum:
Objective Function and Learning Algorithm for the General Node Fault Situation. IEEE Trans. Neural Networks Learn. Syst. 27(4): 863-874 (2016) - [j99]Junli Liang, Chi-Sing Leung, Hing Cheung So:
Lagrange Programming Neural Network Approach for Target Localization in Distributed MIMO Radar. IEEE Trans. Signal Process. 64(6): 1574-1585 (2016) - [c44]Ho-Chun Leung, Chi-Sing Leung, Eric W. M. Wong:
Fault-Tolerant Incremental Learning for Extreme Learning Machines. ICONIP (2) 2016: 168-176 - [c43]Ruibin Feng, Chi-Sing Leung, John Sum:
Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units. ICONIP (4) 2016: 270-278 - [c42]Hao Wang, Ruibin Feng, Chi-Sing Leung:
A Robust TOA Source Localization Algorithm Based on LPNN. ICONIP (1) 2016: 367-375 - 2015
- [j98]Yi Xiao, Liang Wan, Chi-Sing Leung, Yu-Kun Lai, Tien-Tsin Wong:
Optimization-Based Gradient Mesh Colour Transfer. Comput. Graph. Forum 34(6): 123-134 (2015) - [j97]Zi-Fa Han, Ruibin Feng, Wai-Yan Wan, Chi-Sing Leung:
Online training and its convergence for faulty networks with multiplicative weight noise. Neurocomputing 155: 53-61 (2015) - [j96]Chi Sing Leung:
Editorial for special issue on ICONIP 2013. Neurocomputing 165: 1-2 (2015) - [j95]Junli Liang, Hing Cheung So, Chi-Sing Leung, Jian Li, Alfonso Farina:
Waveform Design With Unit Modulus and Spectral Shape Constraints via Lagrange Programming Neural Network. IEEE J. Sel. Top. Signal Process. 9(8): 1377-1386 (2015) - [j94]Minho Lee, Andrew Chi-Sing Leung:
Editorial for Special Issue on ICONIP 2013. Neural Process. Lett. 41(3): 309-310 (2015) - [j93]Yi Xiao, Ruibin Feng, Zi-Fa Han, Chi-Sing Leung:
GPU Accelerated Self-Organizing Map for High Dimensional Data. Neural Process. Lett. 41(3): 341-355 (2015) - [j92]Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum:
Online Training for Open Faulty RBF Networks. Neural Process. Lett. 42(2): 397-416 (2015) - [j91]Ruibin Feng, Chi-Sing Leung, John Sum, Yi Xiao:
Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2188-2193 (2015) - [j90]Tze-Yui Ho, Yi Xiao, Ruibin Feng, Andrew Chi-Sing Leung, Tien-Tsin Wong:
All-Frequency Direct Illumination with Vectorized Visibility. IEEE Trans. Vis. Comput. Graph. 21(8): 945-958 (2015) - [c41]Ruibin Feng, Chi-Sing Leung, Peter Wai-Ming Tsang:
Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization. ICONIP (2) 2015: 79-86 - [c40]Ching Man Lee, Ruibin Feng, Chi-Sing Leung:
Lagrange Programming Neural Network for the l_1 -norm Constrained Quadratic Minimization. ICONIP (3) 2015: 119-126 - [c39]Zi-Fa Han, Chi-Sing Leung, Hing-Cheung So, John Sum, Anthony G. Constantinides:
Non-Line-of-Sight Mitigation via Lagrange Programming Neural Networks in TOA-Based Localization. ICONIP (3) 2015: 190-197 - [c38]Chang Su, John Sum, Chi-Sing Leung, Kevin I.-J. Ho:
Noise on Gradient Systems with Forgetting. ICONIP (3) 2015: 479-487 - 2014
- [j89]Ruibin Feng, Yi Xiao, Chi-Sing Leung, Peter W. M. Tsang, John Sum:
An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network. Cogn. Comput. 6(3): 293-303 (2014) - [j88]Chi-Sing Leung, John Sum, Anthony G. Constantinides:
Recurrent networks for compressive sampling. Neurocomputing 129: 298-305 (2014) - [j87]Chi-Sing Leung, Tingwen Huang:
Special issue on ICONIP 2012 "Learning Algorithms and Applications". Neurocomputing 134: 181 (2014) - [j86]Andrew Chi-Sing Leung, John Sum, Hing-Cheung So, Anthony G. Constantinides, Frankie K. W. Chan:
Lagrange programming neural networks for time-of-arrival-based source localization. Neural Comput. Appl. 24(1): 109-116 (2014) - [c37]Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides:
An analog network approach to train RBF networks based on sparse recovery. DSP 2014: 903-908 - [c36]Wai-Yan Wan, Chi-Sing Leung, Zi-Fa Han, Ruibin Feng:
Online Learning for Faulty RBF Networks with the Concurrent Fault. ICONIP (1) 2014: 271-278 - [c35]Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng, John Sum:
The Performance of the Stochastic DNN-kWTA Network. ICONIP (1) 2014: 279-286 - [c34]Peter Wai-Ming Tsang, Chi-Sing Leung:
A Line-Partitioned Heteroassociative Memory for Storing Binary Fresnel Hologram. ICONIP (1) 2014: 312-318 - [c33]Zi-Fa Han, Ruibin Feng, Longting Huang, Yi Xiao, Chi-Sing Leung, Hing-Cheung So:
Tensor Completion Based on Structural Information. ICONIP (2) 2014: 479-486 - 2013
- [j85]Yi Xiao, Chi-Sing Leung, Tze-Yui Ho, Liang Wan, Tien-Tsin Wong:
Concentric Spherical Representation for Omnidirectional Soft Shadow. Comput. Graph. Forum 32(6): 201-213 (2013) - [j84]Chi Sing Leung:
Editorial for special issue on ICONIP2011 "Advances in Learning Algorithms". Neural Comput. Appl. 22(7-8): 1259-1260 (2013) - [j83]John Sum, Chi-Sing Leung, Ray C. C. Cheung, Tze-Yui Ho:
HEALPIX DCT technique for compressing PCA-based illumination adjustable images. Neural Comput. Appl. 22(7-8): 1291-1300 (2013) - [j82]Yau-King Lam, Peter Wai-Ming Tsang, Chi-Sing Leung:
PSO-based K-Means clustering with enhanced cluster matching for gene expression data. Neural Comput. Appl. 22(7-8): 1349-1355 (2013) - [j81]Yi Xiao, Liang Wan, Chi-Sing Leung, Yu-Kun Lai, Tien-Tsin Wong:
Example-Based Color Transfer for Gradient Meshes. IEEE Trans. Multim. 15(3): 549-560 (2013) - [j80]John Sum, Chi-Sing Leung, Kevin I.-J. Ho:
Effect of Input Noise and Output Node Stochastic on Wang's kWTA. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1472-1478 (2013) - [c32]Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum:
GPU Accelerated Spherical K-Means Training. ICONIP (2) 2013: 392-399 - [c31]Yau-King Lam, Peter W. M. Tsang, Chi-Sing Leung:
Enhanced GPU Accelerated K-Means Algorithm for Gene Clustering Based on a Merging Thread Strategy. ICONIP (2) 2013: 713-720 - 2012
- [j79]Chi-Sing Leung, Pui-Fai Sum, Yuxin Liu:
Optimization of tuning parameters for open node fault regularizer. Neurocomputing 94: 32-45 (2012) - [j78]Andrew Chi-Sing Leung:
Editorial for special issue on ICONIP2010 "applications of neural information processing". Neural Comput. Appl. 21(4): 611-612 (2012) - [j77]Yi Xiao, Chi-Sing Leung, Ping-Man Lam, Tze-Yui Ho:
Self-organizing map-based color palette for high-dynamic range texture compression. Neural Comput. Appl. 21(4): 639-647 (2012) - [j76]Andrew Chi-Sing Leung, Yi Xiao, Yong Xu, Kwok-Wo Wong:
Decouple implementation of weight decay for recursive least square. Neural Comput. Appl. 21(7): 1709-1716 (2012) - [j75]John Sum, Chi-Sing Leung, Kevin I.-J. Ho:
On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis. IEEE Trans. Neural Networks Learn. Syst. 23(2): 211-222 (2012) - [j74]Yi Xiao, Yuxin Liu, Chi-Sing Leung, Pui-Fai Sum, Kevin Ho:
Analysis on the Convergence Time of Dual Neural Network-Based WTA. IEEE Trans. Neural Networks Learn. Syst. 23(4): 676-682 (2012) - [j73]Chi-Sing Leung, John Sum:
RBF Networks Under the Concurrent Fault Situation. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1148-1155 (2012) - [j72]John Sum, Chi-Sing Leung, Kevin Ho:
Convergence Analyses on On-Line Weight Noise Injection-Based Training Algorithms for MLPs. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1827-1840 (2012) - [j71]Chi-Sing Leung, Ping-Man Lam, Peter Wai-Ming Tsang, Wuchao Situ:
A Graphics Processing Unit Accelerated Genetic Algorithm for Affine Invariant Matching of Broken Contours. J. Signal Process. Syst. 66(2): 105-111 (2012) - [c30]Peter Wai-Ming Tsang, W. C. Situ, Chi-Sing Leung, Kai-Tat Ng:
Fast Affine Invariant Shape Matching from 3D Images Based on the Distance Association Map and the Genetic Algorithm. ICONIP (4) 2012: 204-211 - [c29]Chi-Sing Leung, Pui-Fai Sum, Kai-Tat Ng:
On the Objective Function and Learning Algorithm for Concurrent Open Node Fault. ICONIP (3) 2012: 208-216 - [c28]Chi-Sing Leung, Hing-Cheung So, Frankie K. W. Chan, Anthony G. Constantinides:
Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements. ICONIP (2) 2012: 234-241 - [e7]Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi-Sing Leung:
Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7663, Springer 2012, ISBN 978-3-642-34474-9 [contents] - [e6]Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi-Sing Leung:
Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7664, Springer 2012, ISBN 978-3-642-34480-0 [contents] - [e5]Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi-Sing Leung:
Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III. Lecture Notes in Computer Science 7665, Springer 2012, ISBN 978-3-642-34486-2 [contents] - [e4]Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi-Sing Leung:
Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV. Lecture Notes in Computer Science 7666, Springer 2012, ISBN 978-3-642-34477-0 [contents] - [e3]Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi-Sing Leung:
Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part V. Lecture Notes in Computer Science 7667, Springer 2012, ISBN 978-3-642-34499-2 [contents] - 2011
- [j70]Kevin Ho, Andrew Chi-Sing Leung, John Sum:
Training RBF network to tolerate single node fault. Neurocomputing 74(6): 1046-1052 (2011) - [j69]Chi-Sing Leung:
Special issue on ICONIP2009 "Learning algorithm and mathematic modeling". Neurocomputing 74(11): 1915 (2011) - [j68]Shue Kwan Mak, Pui-Fai Sum, Chi-Sing Leung:
Regularizers for fault tolerant multilayer feedforward networks. Neurocomputing 74(11): 2028-2040 (2011) - [j67]Andrew Chi-Sing Leung, Pui-Fai Sum, Kevin Ho:
The effect of weight fault on associative networks. Neural Comput. Appl. 20(1): 113-121 (2011) - [j66]Peter Wai-Ming Tsang, Wai Keung Cheung, Andrew Chi-Sing Leung:
Decoding ambisonic signals to irregular quad loudspeaker configuration based on hybrid ANN and modified tabu search. Neural Comput. Appl. 20(7): 983-991 (2011) - [j65]Yi Xiao, Andrew Chi-Sing Leung, Tze-Yui Ho, Ping-Man Lam:
A GPU implementation for LBG and SOM training. Neural Comput. Appl. 20(7): 1035-1042 (2011) - [j64]Kevin Ho, Chi-Sing Leung, John Sum:
Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs. IEEE Trans. Neural Networks 22(2): 317-323 (2011) - [j63]Tze-Yui Ho, Liang Wan, Chi-Sing Leung, Ping-Man Lam, Tien-Tsin Wong:
Unicube for Dynamic Environment Mapping. IEEE Trans. Vis. Comput. Graph. 17(1): 51-63 (2011) - [j62]Liang Wan, Shue Kwan Mak, Tien-Tsin Wong, Chi-Sing Leung:
Spatiotemporal Sampling of Dynamic Environment Sequences. IEEE Trans. Vis. Comput. Graph. 17(10): 1499-1509 (2011) - [c27]John Sum, Chi-Sing Leung, Kevin Ho:
Analysis on Wang's kWTA with Stochastic Output Nodes. ICONIP (3) 2011: 268-275 - [c26]Chi-Sing Leung, John Sum:
Regularizer for Co-existing of Open Weight Fault and Multiplicative Weight Noise. ICONIP (3) 2011: 276-283 - [c25]Chi-Sing Leung, John Sum, Ping-Man Lam, Anthony G. Constantinides:
Recovery of Sparse Signal from an Analog Network Model. ICONIP (3) 2011: 373-380 - [c24]Yau-King Lam, Peter Wai-Ming Tsang, Chi-Sing Leung:
Improved Gene Clustering Based on Particle Swarm Optimization, K-Means, and Cluster Matching. ICONIP (1) 2011: 654-661 - [c23]Yau-King Lam, Wuchao Situ, Peter Wai-Ming Tsang, Chi-Sing Leung, Yi Xiao:
Comparison between the Applications of Fragment-Based and Vertex-Based GPU Approaches in K-Means Clustering of Time Series Gene Expression Data. ICONIP (1) 2011: 662-667 - 2010
- [j61]Ping-Man Lam, Chi-Sing Leung, Tien-Tsin Wong, Chi-Wing Fu:
Uniformly sampling multi-resolution analysis for image-based relighting. J. Vis. Commun. Image Represent. 21(7): 693-706 (2010) - [j60]Hongjiang Wang, Chi-Sing Leung, Pui-Fai Sum, Gang Wei:
Kernel Width Optimization for Faulty RBF Neural Networks with Multi-node Open Fault. Neural Process. Lett. 32(1): 97-107 (2010) - [j59]Kevin I.-J. Ho, Chi-Sing Leung, John Sum:
Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks. IEEE Trans. Neural Networks 21(6): 938-947 (2010) - [j58]Andrew Chi-Sing Leung, Hongjiang Wang, John Sum:
On the selection of weight decay parameter for faulty networks. IEEE Trans. Neural Networks 21(8): 1232-1244 (2010) - [j57]Ping-Man Lam, Tze-Yui Ho, Chi-Sing Leung, Tien-Tsin Wong:
All-Frequency Lighting with Multiscale Spherical Radial Basis Functions. IEEE Trans. Vis. Comput. Graph. 16(1): 43-56 (2010) - [j56]Liang Wan, Xiaopei Liu, Tien-Tsin Wong, Chi-Sing Leung:
Evolving Mazes from Images. IEEE Trans. Vis. Comput. Graph. 16(2): 287-297 (2010) - [c22]Deng-yu Qiao, Wai Ho Mow, Chi-Sing Leung:
Scalar Quantizers with Uniform Encoders and Channel-Optimized Decoders for M-PSK Schemes. GLOBECOM 2010: 1-5 - [c21]Chi-Sing Leung, John Sum, Shue Kwan Mak:
Generalization Error of Faulty MLPs with Weight Decay Regularizer. ICONIP (2) 2010: 160-167 - [c20]Ping-Man Lam, Chi-Sing Leung, John Sum, Anthony G. Constantinides:
Lagrange Programming Neural Networks for Compressive Sampling. ICONIP (2) 2010: 177-184 - [p2]Andrew Chi-Sing Leung, Tze-Yui Ho, Yi Xiao:
GPU Color Quantization. GPU Pro 2010: 3-13 - [p1]Tze-Yui Ho, Ping-Man Lam, Chi-Sing Leung:
Parallelized Implementation of Universal Visual Computer. GPU Pro 2010: 613-622
2000 – 2009
- 2009
- [j55]Chi-Wing Fu, Liang Wan, Tien-Tsin Wong, Chi-Sing Leung:
The Rhombic Dodecahedron Map: An Efficient Scheme for Encoding Panoramic Video. IEEE Trans. Multim. 11(4): 634-644 (2009) - [j54]J. P. F. Sum, Chi-Sing Leung, Kevin I.-J. Ho:
On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise. IEEE Trans. Neural Networks 20(1): 124-138 (2009) - [j53]Tze-Yui Ho, Chi-Sing Leung, Ping-Man Lam, Tien-Tsin Wong:
Efficient Relighting of RBF-Based Illumination Adjustable Images. IEEE Trans. Neural Networks 20(12): 1987-1993 (2009) - [c19]Peter Wai-Ming Tsang, Wai Keung Cheung, Chi-Sing Leung:
Decoding Ambisonic Signals to Irregular Loudspeaker Configuration Based on Artificial Neural Networks. ICONIP (2) 2009: 273-280 - [c18]Deng-yu Qiao, Chi-Sing Leung, Pui-Fai Sum:
Fault Tolerant Regularizers for Multilayer Feedforward Networks. ICONIP (1) 2009: 277-284 - [e2]Chi-Sing Leung, Minho Lee, Jonathan Hoyin Chan:
Neural Information Processing, 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part I. Lecture Notes in Computer Science 5863, Springer 2009, ISBN 978-3-642-10676-7 [contents] - [e1]Chi-Sing Leung, Minho Lee, Jonathan Hoyin Chan:
Neural Information Processing, 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part II. Lecture Notes in Computer Science 5864, Springer 2009, ISBN 978-3-642-10682-8 [contents] - 2008
- [j52]John Sum, Andrew Chi-Sing Leung:
Prediction error of a fault tolerant neural network. Neurocomputing 72(1-3): 653-658 (2008) - [j51]Chi-Sing Leung, John Sum, Herbert Chan:
Improved transmission of vector quantized data over noisy channels. Neural Comput. Appl. 17(1): 1-9 (2008) - [j50]Tze-Yui Ho, Ping-Man Lam, Chi-Sing Leung:
Parallelization of cellular neural networks on GPU. Pattern Recognit. 41(8): 2684-2692 (2008) - [j49]Chi-Sing Leung, Ping-Man Lam, Tien-Tsin Wong:
A GPU favor representation method for plenoptic-illumination function based on an efficient spherical partition scheme. Signal Process. Image Commun. 23(8): 624-636 (2008) - [j48]Chi-Sing Leung, J. P. F. Sum:
A Fault-Tolerant Regularizer for RBF Networks. IEEE Trans. Neural Networks 19(3): 493-507 (2008) - [j47]Xuemiao Xu, Liang Wan, Xiaopei Liu, Tien-Tsin Wong, Liansheng Wang, Chi-Sing Leung:
Animating animal motion from still. ACM Trans. Graph. 27(5): 117 (2008) - [j46]Xiaopei Liu, Liang Wan, Yingge Qu, Tien-Tsin Wong, Stephen Lin, Chi-Sing Leung, Pheng-Ann Heng:
Intrinsic colorization. ACM Trans. Graph. 27(5): 152 (2008) - [c17]Chi-Sing Leung, Pui-Fai Sum, Hongjiang Wang:
Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer. ICONIP (2) 2008: 316-323 - [c16]John Sum, Chi-Sing Leung, Kevin Ho:
On Node-Fault-Injection Training of an RBF Network. ICONIP (2) 2008: 324-331 - [c15]Kevin Ho, Chi-Sing Leung, John Sum:
On Weight-Noise-Injection Training. ICONIP (2) 2008: 919-926 - 2007
- [j45]Chi-Sing Leung, Frank H. F. Leung:
Editorial for ICONIP 2006. Neural Comput. Appl. 16(6): 503-504 (2007) - [j44]Ping-Man Lam, Tze-Yui Ho, Chi-Sing Leung, Tien-Tsin Wong:
Noise-proofing the doubly SH-projected coefficients for synthesizing images under environment lighting. Signal Process. Image Commun. 22(5): 466-479 (2007) - [j43]Tien-Tsin Wong, Chi-Sing Leung, Pheng-Ann Heng, Jianqing Wang:
Discrete Wavelet Transform on Consumer-Level Graphics Hardware. IEEE Trans. Multim. 9(3): 668-673 (2007) - [j42]Liang Wan, Tien-Tsin Wong, Chi-Sing Leung:
Isocube: Exploiting the Cubemap Hardware. IEEE Trans. Vis. Comput. Graph. 13(4): 720-731 (2007) - [c14]Chi-Sing Leung, Pui-Fai Sum, Tien-Tsin Wong:
Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise. ICONIP (1) 2007: 289-298 - [c13]Chi-Sing Leung, Kwok-Wo Wong, Yong Xu:
The Local True Weight Decay Recursive Least Square Algorithm. ICONIP (1) 2007: 456-465 - 2006
- [j41]Chi-Sing Leung, Ah Chung Tsoi:
Combined learning and pruning for recurrent radial basis function networks based on recursive least square algorithms. Neural Comput. Appl. 15(1): 62-78 (2006) - [j40]Chi-Sing Leung, Herbert Chan, Wai Ho Mow:
Soft-Decoding SOM for VQ Over Wireless Channels. Neural Process. Lett. 24(2): 179-192 (2006) - [j39]Tze-Yui Ho, Ping-Man Lam, Chi-Sing Leung, Tien-Tsin Wong:
GPU-friendly rendering for illumination adjustable images. Signal Process. Image Commun. 21(10): 919-933 (2006) - [j38]Chi-Sing Leung, Tien-Tsin Wong, Ping-Man Lam, Kwok-Hung Choy:
An RBF-based compression method for image-based relighting. IEEE Trans. Image Process. 15(4): 1031-1041 (2006) - [j37]Yong Xu, Kwok-Wo Wong, Chi-Sing Leung:
Generalized RLS approach to the training of neural networks. IEEE Trans. Neural Networks 17(1): 19-34 (2006) - [j36]Ping-Man Lam, Chi-Sing Leung, Tien-Tsin Wong:
Noise-Resistant Fitting for Spherical Harmonics. IEEE Trans. Vis. Comput. Graph. 12(2): 254-265 (2006) - [c12]Si Ai, Shu-Hung Leung, Chi-Sing Leung:
A Novel Synchronization Scheme for OFDM Over Fading Channels. ICASSP (4) 2006: 401-404 - [c11]Si Ai, Shu-hung Leung, Chi-Sing Leung, Rongfang Song:
A Novel Adaptive OFDM Receiver with Second Order Polynomial Nyquist Window Function. ICC 2006: 2875-2880 - [c10]John Sum, Andrew Chi-Sing Leung, Kevin Ho:
Prediction Error of a Fault Tolerant Neural Network. ICONIP (1) 2006: 521-528 - [c9]Xiaolin Shi, Shu-hung Leung, Chi-Sing Leung:
Mean square error analysis of RLS algorithm for WSSUS fading channels. ISCAS 2006 - 2005
- [j35]Pun-Mo Ho, Tien-Tsin Wong, Chi-Sing Leung:
Compressing the illumination-adjustable images with principal component analysis. IEEE Trans. Circuits Syst. Video Technol. 15(3): 355-364 (2005) - [c8]Liang Wan, Tien-Tsin Wong, Chi-Sing Leung:
Spherical Q2-tree for Sampling Dynamic Environment Sequences. Rendering Techniques 2005: 21-30 - 2004
- [j34]Andrew Chi-Sing Leung, John Sum, Hong Shen, Jie Wu, Gilbert H. Young:
Analysis and Design of an Agent Searching Algorithm for e-Marketplaces. Clust. Comput. 7(1): 85-90 (2004) - [j33]Ze Wang, Chi-Sing Leung, Yisheng Zhu, Tien-Tsin Wong:
Data compression with spherical wavelets and wavelets for the image-based relighting. Comput. Vis. Image Underst. 96(3): 327-344 (2004) - [j32]Sen Jiang, Li Ping, Hong Ping Hong Sun, Chi Sing Leung:
Modified LMMSE turbo equalization. IEEE Commun. Lett. 8(3): 174-176 (2004) - [j31]Ze Wang, Andrew Chi-Sing Leung, Tien-Tsin Wong, Yisheng Zhu:
Eigen-image based compression for the image-based relighting with cascade recursive least squared networks. Pattern Recognit. 37(6): 1219-1231 (2004) - [j30]Ping-Man Lam, Chi-Sing Leung, Tien-Tsin Wong:
A compression method for a massive image data set in image-based rendering. Signal Process. Image Commun. 19(8): 741-754 (2004) - [j29]Ze Wang, Chi-Sing Leung, Yisheng Zhu, Tien-Tsin Wong:
Data compression on the illumination adjustable images by PCA and ICA. Signal Process. Image Commun. 19(10): 939-954 (2004) - 2003
- [j28]Andrew Chi-Sing Leung, Ping-Man Lam:
A Local Training-Pruning Approach for Recurrent Neural Networks. Int. J. Neural Syst. 13(1): 25-38 (2003) - [j27]Chi-Sing Leung, Lai-Wan Chan:
Dual extended Kalman filtering in recurrent neural networks. Neural Networks 16(2): 223-239 (2003) - [j26]Ze Wang, Yin Lee, Simone G. O. Fiori, Andrew Chi-Sing Leung, Yisheng Zhu:
An improved sequential method for principal component analysis. Pattern Recognit. Lett. 24(9-10): 1409-1415 (2003) - [j25]Ze Wang, Yin Lee, Andrew Chi-Sing Leung, Tien-Tsin Wong, Yisheng Zhu:
An improved optimal bit allocation method for sub-band coding. Pattern Recognit. Lett. 24(16): 3007-3013 (2003) - [j24]Tien-Tsin Wong, Chi-Sing Leung:
Compression of illumination-adjustable images. IEEE Trans. Circuits Syst. Video Technol. 13(11): 1107-1118 (2003) - [j23]John Sum, Hong Shen, Gilbert H. Young, Jie Wu, Chi-Sing Leung:
Analysis on Extended Ant Routing Algorithms for Network Routing and Management. J. Supercomput. 24(3): 327-340 (2003) - [j22]John Sum, Hong Shen, Andrew Chi-Sing Leung, Gilbert H. Young:
Analysis on a Mobile Agent-Based Algorithm for Network Routing and Management. IEEE Trans. Parallel Distributed Syst. 14(3): 193-202 (2003) - [c7]Andrew Chi-Sing Leung, Ping-Man Lam, Tien-Tsin Wong:
Data Compression for a Massive Image Data Set in IBMR. Computer Graphics International 2003: 68-73 - [c6]Pun-Mo Ho, Tien-Tsin Wong, Kwok-Hung Choy, Chi-Sing Leung:
PCA-based compression for image-based relighting. ICME 2003: 473-476 - 2002
- [j21]Tien-Tsin Wong, Chi-Wing Fu, Pheng-Ann Heng, Chi-Sing Leung:
The plenoptic illumination function. IEEE Trans. Multim. 4(3): 361-371 (2002) - [c5]Kwok-Wo Wong, Chi-Sing Leung, Sheng-Jiang Chang:
Handwritten Digit Recognition Using Multi-Layer Feedforward Neural Networks with Periodic and Monotonic Activation Functions. ICPR (3) 2002: 106-109 - 2001
- [j20]Chi-Sing Leung, Kwok-Wo Wong, Pui-Fai Sum, Lai-Wan Chan:
A pruning method for the recursive least squared algorithm. Neural Networks 14(2): 147-174 (2001) - [j19]Chi-Sing Leung, Ah Chung Tsoi, Lai-Wan Chan:
Two regularizers for recursive least squared algorithms in feedforward multilayered neural networks. IEEE Trans. Neural Networks 12(6): 1314-1332 (2001) - 2000
- [j18]Sheng-Jiang Chang, Andrew Chi-Sing Leung, Kwok-Wo Wong, John Sum:
A Local Training and Pruning Approach for Neural Networks. Int. J. Neural Syst. 10(6): 425-438 (2000) - [j17]Sheng-Jiang Chang, Kwok-Wo Wong, Andrew Chi-Sing Leung:
Combining DEKF algorithm and trace rule for fast on-line invariance extraction and recognition. Pattern Recognit. Lett. 21(6-7): 493-501 (2000)
1990 – 1999
- 1999
- [j16]John Sum, Andrew Chi-Sing Leung, Gilbert H. Young, Lai-Wan Chan, Wing-Kay Kan:
An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment. Neural Comput. 11(4): 965-976 (1999) - [j15]Andrew Chi-Sing Leung, Lai-Wan Chan:
Design of trellis coded vector quantizers using Kohonen maps. Neural Networks 12(6): 907-914 (1999) - [j14]J. P. F. Sum, Chi-Sing Leung, Peter Kwong-Shun Tam, Gilbert H. Young, Wing-Kay Kan, Lai-Wan Chan:
Analysis for a class of winner-take-all model. IEEE Trans. Neural Networks 10(1): 64-71 (1999) - [j13]John Sum, Chi-Sing Leung, Gilbert H. Young, Wing-Kay Kan:
On the Kalman filtering method in neural network training and pruning. IEEE Trans. Neural Networks 10(1): 161-166 (1999) - [j12]Chi-Sing Leung, Gilbert H. Young, John Sum, Wing-Kay Kan:
On the regularization of forgetting recursive least square. IEEE Trans. Neural Networks 10(6): 1482-1486 (1999) - [c4]Kwok-Wo Wong, Sheng-Jiang Chang, Chi-Sing Leung:
Handwritten digit recognition using trace neural network with EKF training algorithm. ICECS 1999: 295-298 - [c3]Arnold Shu-Yan Wong, Kwok-Wo Wong, Chi Sing Leung:
A unified sequential method for PCA. ICECS 1999: 583-586 - 1998
- [j11]John Sum, Lai-Wan Chan, Andrew Chi-Sing Leung, Gilbert H. Young:
Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks. Neural Comput. 10(6): 1481-1505 (1998) - [j10]Kwok-Wo Wong, Andrew Chi-Sing Leung:
On-line Successive Synthesis of Wavelet Networks. Neural Process. Lett. 7(2): 91-100 (1998) - [j9]Chi-Sing Leung, Lai-Wan Chan:
An error control scheme for transmission of vector quantization data over noisy channels. IEEE Trans. Signal Process. 46(10): 2767-2780 (1998) - [c2]Arnold Shu-Yan Wong, Kwok-Wo Wong, Chi-Sing Leung:
Using recursive least square learning method for principal and minor components analysis. ICASSP 1998: 1089-1092 - [c1]Arnold Shu-Yan Wong, Kwok-Wo Wong, Chi Sing Leung:
Combining PCA and MCA by using recursive least square learning method. ICECS 1998: 121-124 - 1997
- [j8]Andrew Chi-Sing Leung, Lai-Wan Chan:
The Behavior of Forgetting Learning in Bidrectional Associative Memory. Neural Comput. 9(2): 385-401 (1997) - [j7]Chi-Sing Leung, Lai-Wan Chan, Edmund Man Kit Lai:
Stability and statistical properties of second-order bidirectional associative memory. IEEE Trans. Neural Networks 8(2): 267-277 (1997) - [j6]Chi-Sing Leung, Lai-Wan Chan:
Transmission of vector quantized data over a noisy channel. IEEE Trans. Neural Networks 8(3): 582-589 (1997) - [j5]John Sum, Chi-Sing Leung, Lai-Wan Chan, Lei Xu:
Yet another algorithm which can generate topography map. IEEE Trans. Neural Networks 8(5): 1204-1207 (1997) - 1996
- [j4]Chi-Sing Leung, Lai-Wan Chan, John Sum:
Attraction Basin of Bidirectional Associative Memories. Int. J. Neural Syst. 7(6): 715-726 (1996) - [j3]Andrew Chi-Sing Leung, Lai-Wan Chan, John Sum:
Storage behavior and error correction capability of bidirectional associative memory under forgetting learning. Neural Parallel Sci. Comput. 4(2): 141-156 (1996) - 1995
- [j2]Chi-Sing Leung, Lai-Wan Chan, Edmund Man Kit Lai:
Stability, capacity, and statistical dynamics of second-order bidirectional associative memory. IEEE Trans. Syst. Man Cybern. 25(10): 1414-1424 (1995) - 1994
- [j1]Chi Sing Leung:
Optimum Learning for Bidirectional Associative Memory in the Sense of Capacity. IEEE Trans. Syst. Man Cybern. Syst. 24(5): 791-796 (1994)
Coauthor Index
Kevin I.-J. Ho
aka: Kevin Ho
aka: Kevin Ho
Hing-Cheung So
aka: Hing Cheung So
aka: Hing Cheung So
[j148] [j142] [j138] [j137] [c66] [j133] [c60] [j129] [j124] [c57] [c56] [j117] [c53] [c52] [c51] [j113] [j110] [c50] [c49] [c48] [j105] [j100] [c43] [j92] [j91] [c39] [c38] [j89] [j88] [j86] [c35] [j83] [j80] [c32] [j79] [j75] [j74] [j73] [j72] [c29] [j70] [j68] [j67] [j64] [c27] [c26] [c25] [j60] [j59] [j58] [c21] [c20] [j54] [c18] [j52] [j51] [j48] [c17] [c16] [c15] [c14] [c10] [j34] [j23] [j22] [j20] [j18] [j16] [j14] [j13] [j12] [j11] [j5] [j4] [j3]
Peter Wai-Ming Tsang
aka: Peter W. M. Tsang
aka: Peter W. M. Tsang
Eric Wing Ming Wong
aka: Eric W. M. Wong
aka: Eric W. M. Wong
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Unpaywalled article links
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Archived links via Wayback Machine
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Reference lists
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Citation data
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load citations from opencitations.net
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OpenAlex data
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last updated on 2025-01-21 00:10 CET by the dblp team
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