Chi-Sing Leung

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 65

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Neurocomputing

ICONIP (1)

ICONIP (2)

Publications

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) (2024)
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 (2024)
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) (2024)
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) (2024)
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) (2024)
Xiao Peng Li, Chi-Sing Leung, Hing Cheung So
Sparse recovery under nonnegativity and sum-to-one constraints. Inf. Sci. 679 (2024)
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 (2024)
Jiajie Mai, Chi-Sing Leung
Robust Iterative Hard Thresholding Algorithm for Fault Tolerant RBF Network. ICONIP (7) (2023)
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 (2023)
Xiao Peng Li, Zhanglei Shi, Chi-Sing Leung, Hing Cheung So
-Norm Minimization. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
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 (2023)
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) (2023)
Zhaofeng Liu, Chi-Sing Leung, Hing Cheung So
Formal convergence analysis on deterministic ℓ1-regularization based mini-batch learning for RBF networks. Neurocomputing 532 (2023)
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 (2023)
Yiu Yu Chan, Chi-Sing Leung
A Revamped Sparse Index Tracker Leveraging K-Sparsity and Reduced Portfolio Reshuffling. ICONIP (12) (2023)
Jie Zhang, Yi Xiao, Yan Zhenga, Zhenni Wang, Chi-Sing Leung
Semantic-Aware Gated Fusion Network For Interactive Colorization. ICASSP (2023)
Qingping Sun, Yanjun Wang, Zhenni Wang, Chi-Sing Leung
Learning Dense UV Completion for 3D Human Mesh Recovery. ICONIP (9) (2023)
Zhanglei Shi, Hao Wang, Chi-Sing Leung
Constrained Center Loss for Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
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) (2023)
Yang Jing, Xuhui Fan, Jian Li, Hing Cheung So, Chi-Sing Leung
Phase retrieval via Lagrange programming neural network. Digit. Signal Process. 143 (2023)
Hao Wang, Desmond Hui, Chi-Sing Leung
Lagrange Programming Neural Networks for Sparse Portfolio Design. ICONIP (2) (2022)
Jie Zhang, Yi Xiao, Guo Chen, Qingping Sun, Fangqiang Xu, Chi-Sing Leung
Histogram-Guided Semantic-Aware Colorization. ICASSP (2022)
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) (2022)
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) (2022)
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) (2022)
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)
Wenhao Lu, Chi-Sing Leung, John Sum
Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model. ICONIP (4) (2022)
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 (2022)
Hiu Tung Wong, Chi-Sing Leung, Derek Ho
Theoretical analysis and image reconstruction for multi-bit quanta image sensors. Signal Process. 185 (2021)
Jun Xia, Guanghua Tan, Yi Xiao, Fangqiang Xu, Chi-Sing Leung
Edge-Aware Multi-Scale Progressive Colorization. ICASSP (2021)
Wenhao Lu, Chi-Sing Leung, John Sum
Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines. IEEE Access 9 (2021)
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 (2020)
Wenhao Lu, Chi-Sing Leung, John Sum
Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function. ICONIP (3) (2020)
Zhanglei Shi, Hao Wang, Chi-Sing Leung, John Sum
Constrained Center Loss for Image Classification. ICONIP (5) (2020)
Ersi Cha, Chi-Sing Leung, Eric Wing Ming Wong
Convergence of Mini-Batch Learning for Fault Aware RBF Networks. ICONIP (5) (2020)
John Sum, Chi-Sing Leung, Kevin Ho
A Limitation of Gradient Descent Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
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) (2020)
John Sum, Chi-Sing Leung
Analysis on Dropout Regularization. ICONIP (5) (2019)
Hao Wang, Zhanglei Shi, Hiu Tung Wong, Chi-Sing Leung, Hing Cheung So, Ruibin Feng
-Norm-Based Centers Selection for Failure Tolerant RBF Networks. IEEE Access 7 (2019)
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 (2019)
Muideen Adegoke, Chi-Sing Leung, John Sum
Fault Tolerant Broad Learning System. ICONIP (4) (2019)
Yi Xiao, Peiyao Zhou, Yan Zheng, Chi-Sing Leung
Interactive Deep Colorization Using Simultaneous Global and Local Inputs. ICASSP (2019)
Hiu Tung Wong, Zhenni Wang, Chi-Sing Leung, John Sum
Explicit Center Selection and Training for Fault Tolerant RBF Networks. ICONIP (2) (2019)
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 (2019)
John Sum, Chi-Sing Leung
Learning Algorithm for Boltzmann Machines With Additive Weight and Bias Noise. IEEE Trans. Neural Networks Learn. Syst. 30 (10) (2019)
Hao Wang, Ruibin Feng, Chi-Sing Leung
Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework. CoRR (2018)
Liang Wan, Yi Xiao, Ning Dou, Chi-Sing Leung, Yu-Kun Lai
Scribble-based gradient mesh recoloring. Multim. Tools Appl. 77 (11) (2018)
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) (2018)
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) (2018)
Yi Xiao, Tze-Yui Ho, Chi-Sing Leung
Summed Area Tables for Cube Maps. IEEE Trans. Vis. Comput. Graph. 24 (10) (2018)
Hao Wang, Chi-Sing Leung, Hing-Cheung So, Ruibin Feng, Zi-Fa Han
l0-norm Based Centers Selection for Failure Tolerant RBF Networks. CoRR (2018)
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) (2018)
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) (2017)
Hao Wang, Ruibin Feng, Chi-Sing Leung, Hing-Cheung So
A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting. ICONIP (3) (2017)
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 (2017)
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) (2017)
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)
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) (2017)
Yik Lam Lui, Hiu Tung Wong, Chi-Sing Leung, Sam Kwong
Noise Resistant Training for Extreme Learning Machine. ISNN (2) (2017)
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) (2016)
Hao Wang, Ruibin Feng, Chi-Sing Leung
A Robust TOA Source Localization Algorithm Based on LPNN. ICONIP (1) (2016)
Ho-Chun Leung, Chi-Sing Leung, Eric W. M. Wong
Fault-Tolerant Incremental Learning for Extreme Learning Machines. ICONIP (2) (2016)
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) (2016)
Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides
LCA based RBF training algorithm for the concurrent fault situation. Neurocomputing 191 (2016)
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)
Chang Su, John Sum, Chi-Sing Leung, Kevin I.-J. Ho
Noise on Gradient Systems with Forgetting. ICONIP (3) (2015)
Ching Man Lee, Ruibin Feng, Chi-Sing Leung
Lagrange Programming Neural Network for the l_1 -norm Constrained Quadratic Minimization. ICONIP (3) (2015)
Yi Xiao, Ruibin Feng, Zi-Fa Han, Chi-Sing Leung
GPU Accelerated Self-Organizing Map for High Dimensional Data. Neural Process. Lett. 41 (3) (2015)
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)
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) (2015)
Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum
Online Training for Open Faulty RBF Networks. Neural Process. Lett. 42 (2) (2015)
Ruibin Feng, Chi-Sing Leung, Peter Wai-Ming Tsang
Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization. ICONIP (2) (2015)
Yi Xiao, Liang Wan, Chi-Sing Leung, Yu-Kun Lai, Tien-Tsin Wong
Optimization-Based Gradient Mesh Colour Transfer. Comput. Graph. Forum 34 (6) (2015)
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) (2015)
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 (2015)
Zi-Fa Han, Ruibin Feng, Longting Huang, Yi Xiao, Chi-Sing Leung, Hing-Cheung So
Tensor Completion Based on Structural Information. ICONIP (2) (2014)
Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides
An analog network approach to train RBF networks based on sparse recovery. DSP (2014)
Peter Wai-Ming Tsang, Chi-Sing Leung
A Line-Partitioned Heteroassociative Memory for Storing Binary Fresnel Hologram. ICONIP (1) (2014)
Chi-Sing Leung, John Sum, Anthony G. Constantinides
Recurrent networks for compressive sampling. Neurocomputing 129 (2014)
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) (2014)
Wai-Yan Wan, Chi-Sing Leung, Zi-Fa Han, Ruibin Feng
Online Learning for Faulty RBF Networks with the Concurrent Fault. ICONIP (1) (2014)
Chi-Sing Leung, Tingwen Huang
Special issue on ICONIP 2012 "Learning Algorithms and Applications". Neurocomputing 134 (2014)
Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng, John Sum
The Performance of the Stochastic DNN-kWTA Network. ICONIP (1) (2014)
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) (2013)
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) (2013)
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)
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) (2013)
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) (2013)
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) (2013)
Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum
GPU Accelerated Spherical K-Means Training. ICONIP (2) (2013)
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) (2012)
Chi-Sing Leung, Pui-Fai Sum, Yuxin Liu
Optimization of tuning parameters for open node fault regularizer. Neurocomputing 94 (2012)
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) (2012)
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)
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)
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) (2012)
Chi-Sing Leung, John Sum
RBF Networks Under the Concurrent Fault Situation. IEEE Trans. Neural Networks Learn. Syst. 23 (7) (2012)
Chi-Sing Leung, Pui-Fai Sum, Kai-Tat Ng
On the Objective Function and Learning Algorithm for Concurrent Open Node Fault. ICONIP (3) (2012)
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) (2012)
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) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chi-Sing Leung