Attraction Basin of Bidirectional Associative Memories. - Chi-Sing Leung; Lai-Wan Chan; John Sum (Int. J. Neural Syst., 1996)

Note on the Maxnet Dynamics. - J. P. F. Sum; Peter Kwong-Shun Tam (Neural Comput., 1996)

Storage behavior and error correction capability of bidirectional associative memory under forgetting learning. - Andrew Chi-Sing Leung; Lai-Wan Chan; John Sum (Neural Parallel Sci. Comput., 1996)

Yet another algorithm which can generate topography map. - John Sum; Chi-Sing Leung; Lai-Wan Chan; Lei Xu 001 (IEEE Trans. Neural Networks, 1997)

Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks. - John Sum; Lai-Wan Chan; Andrew Chi-Sing Leung; Gilbert H. Young (Neural Comput., 1998)

Extended Kalman filter based pruning algorithms and several aspects of neural network learning. - Pui-Fai Sum (1998)

A Note on the Equivalence of NARX and RNN. - J. P. F. Sum; Wing-Kay Kan; Gilbert H. Young (Neural Comput. Appl., 1999)

An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment. - John Sum; Andrew Chi-Sing Leung; Gilbert H. Young; Lai-Wan Chan; Wing-Kay Kan (Neural Comput., 1999)

On the regularization of forgetting recursive least square. - Chi-Sing Leung; Gilbert H. Young; John Sum; Wing-Kay Kan (IEEE Trans. Neural Networks, 1999)

Analysis for a class of winner-take-all model. - J. P. F. Sum; Chi-Sing Leung; Peter Kwong-Shun Tam; Gilbert H. Young; Wing-Kay Kan; Lai-Wan Chan (IEEE Trans. Neural Networks, 1999)

On the Kalman filtering method in neural network training and pruning. - John Sum; Chi-Sing Leung; Gilbert H. Young; Wing-Kay Kan (IEEE Trans. Neural Networks, 1999)

Efficient Dynamic Group Membership Updating for On-Line Communication in Optical WDM Networks (Preliminary Version). - Hong Shen 001; John Sum; Gilbert H. Young; Susumu Horiguchi (PDPTA, 2000)

Efficient Algorithms for On-line Communication in Optical WDM Networks (Preliminary Version). - Hong Shen 001; John Sum; Gilbert H. Young; Susumu Horiguchi (PDPTA, 2000)

A Local Training and Pruning Approach for Neural Networks. - Sheng-Jiang Chang; Andrew Chi-Sing Leung; Kwok-Wo Wong; John Sum (Int. J. Neural Syst., 2000)

A pruning method for the recursive least squared algorithm. - Chi-Sing Leung; Kwok-Wo Wong; Pui-Fai Sum; Lai-Wan Chan (Neural Networks, 2001)

On Two Allocation Methods for Web Services. - John Sum; Jie Wu 001 (PDPTA, 2003)

Asymptotic Analysis on an Unbounded Zero-One Knapsack with Discrete-Sized Objects. - John Sum; Jie Wu 001 (PDPTA, 2003)

Two alternative soft self-organizing maps: their algorithms and applications. - John Sum (SMC, 2003)

Analysis on Extended Ant Routing Algorithms for Network Routing and Management. - John Sum; Hong Shen 001; Gilbert H. Young; Jie Wu 001; Chi-Sing Leung (J. Supercomput., 2003)

Analysis on a Mobile Agent-Based Algorithm for Network Routing and Management. - John Sum; Hong Shen 001; Andrew Chi-Sing Leung; Gilbert H. Young (IEEE Trans. Parallel Distributed Syst., 2003)

Further Analysis on the Application of Mobile Agents in Network Routing. - Wenyu Qu; Hong Shen 001; John Sum (ICETE (1), 2004)

A Novel Connection Algorithm for P2P Network. - John Sum; Siu-Chung Lau (PDPTA, 2004)

A Study of the Connectedness of Gnutella. - John Sum; Mingshu Li; Chung W. Ng; Tony Wong; Gilbert H. Young (PDPTA, 2004)

Analysis and Design of an Agent Searching Algorithm for e-Marketplaces. - Andrew Chi-Sing Leung; John Sum; Hong Shen 001; Jie Wu 001; Gilbert H. Young (Clust. Comput., 2004)

Analysis on the Session Life Time Distribution of Gnutella. - John Sum; Kevin Ho; Chung W. Ng; C. S. Wong; Gilbert H. Young (PDPTA, 2005)

New analysis on mobile agents based network routing. - Wenyu Qu; Hong Shen 001; John Sum (Appl. Soft Comput., 2005)

Stochastic analysis of mobile agent-based e-shopping. - Wenyu Qu; Hong Shen 001; John Sum (Int. J. Electron. Bus., 2005)

Pricing Web Services. - Kevin Ho; John Sum; Gilbert H. Young (GPC, 2006)

Prediction Error of a Fault Tolerant Neural Network. - John Sum; Andrew Chi-Sing Leung; Kevin Ho (ICONIP (1), 2006)

On-line estimation of the final prediction error via recursive least-squares method. - John Sum; Kevin Ho (Neurocomputing, 2006)

Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise. - Chi-Sing Leung; Pui-Fai Sum; Tien-Tsin Wong (ICONIP (1), 2007)

Fault Tolerance of Connectivity Performance in CDMA-Based Wireless Sensor Networks. - Yung-Fa Huang; Ching-Mu Chen; Tsair-Rong Chen; Jong-Shin Chen; John Sum (ISPA Workshops, 2007)

Lifetime Performance of an Energy Efficient Clustering Algorithm for Cluster-Based Wireless Sensor Networks. - Yung-Fa Huang; Wun-He Luo; John Sum; Lin-Huang Chang; Chih-Wei Chang; Rung Ching Chen (ISPA Workshops, 2007)

Analysis on a Localized Pruning Method for Connected Dominating Sets. - John Sum; Jie Wu 001; Kevin Ho (J. Inf. Sci. Eng., 2007)

On Weight-Noise-Injection Training. - Kevin Ho; Chi-Sing Leung; John Sum (ICONIP (2), 2008)

Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer. - Chi-Sing Leung; Pui-Fai Sum; Hongjiang Wang (ICONIP (2), 2008)

On Node-Fault-Injection Training of an RBF Network. - John Sum; Chi-Sing Leung; Kevin Ho (ICONIP (2), 2008)

Equivalence between Weight Decay Learning and Explicit Regularization to Improve Fault Tolerance of RBF. - John Sum; Wun-He Luo; Yung-Fa Huang; You-Ting Jheng (ISDA (1), 2008)

Prediction error of a fault tolerant neural network. - John Sum; Andrew Chi-Sing Leung (Neurocomputing, 2008)

Improved transmission of vector quantized data over noisy channels. - Chi-Sing Leung; John Sum; Herbert Chan (Neural Comput. Appl., 2008)

On the session lifetime distribution of Gnutella. - Kevin Ho; Jie Wu 001; John Sum (Int. J. Parallel Emergent Distributed Syst., 2008)

A Fault-Tolerant Regularizer for RBF Networks. - Chi-Sing Leung; J. P. F. Sum (IEEE Trans. Neural Networks, 2008)

Fault Tolerant Regularizers for Multilayer Feedforward Networks. - Deng-yu Qiao; Chi-Sing Leung; Pui-Fai Sum (ICONIP (1), 2009)

SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training. - John Sum; Kevin Ho (ICONIP (1), 2009)

On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise. - J. P. F. Sum; Chi-Sing Leung; Kevin I.-J. Ho (IEEE Trans. Neural Networks, 2009)

Lagrange Programming Neural Networks for Compressive Sampling. - Ping-Man Lam; Chi-Sing Leung; John Sum; Anthony G. Constantinides (ICONIP (2), 2010)

Generalization Error of Faulty MLPs with Weight Decay Regularizer. - Chi-Sing Leung; John Sum; Shue Kwan Mak (ICONIP (2), 2010)

Kernel Width Optimization for Faulty RBF Neural Networks with Multi-node Open Fault. - Hongjiang Wang; Chi-Sing Leung; Pui-Fai Sum; Gang Wei (Neural Process. Lett., 2010)

Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks. - Kevin I.-J. Ho; Chi-Sing Leung; John Sum (IEEE Trans. Neural Networks, 2010)

On the selection of weight decay parameter for faulty networks. - Andrew Chi-Sing Leung; Hongjiang Wang; John Sum (IEEE Trans. Neural Networks, 2010)

Regularizer for Co-existing of Open Weight Fault and Multiplicative Weight Noise. - Chi-Sing Leung; John Sum (ICONIP (3), 2011)

Recovery of Sparse Signal from an Analog Network Model. - Chi-Sing Leung; John Sum; Ping-Man Lam; Anthony G. Constantinides (ICONIP (3), 2011)

Analysis on Wang's kWTA with Stochastic Output Nodes. - John Sum; Chi-Sing Leung; Kevin Ho (ICONIP (3), 2011)

Training RBF network to tolerate single node fault. - Kevin Ho; Andrew Chi-Sing Leung; John Sum (Neurocomputing, 2011)

Regularizers for fault tolerant multilayer feedforward networks. - Shue Kwan Mak; Pui-Fai Sum; Chi-Sing Leung (Neurocomputing, 2011)

Guest editorial: special issue on the emerging applications of neural networks. - Tommy W. S. Chow; John Sum (Neural Comput. Appl., 2011)

The effect of weight fault on associative networks. - Andrew Chi-Sing Leung; Pui-Fai Sum; Kevin Ho (Neural Comput. Appl., 2011)

Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs. - Kevin Ho; Chi-Sing Leung; John Sum (IEEE Trans. Neural Networks, 2011)

On the Objective Function and Learning Algorithm for Concurrent Open Node Fault. - Chi-Sing Leung; Pui-Fai Sum; Kai-Tat Ng (ICONIP (3), 2012)

Convergence Time of Wang's kWTA Network with Stochastic Output Nodes. - Kevin I.-J. Ho; Wei-Bin Lee; Siu-Chung Lau; John Sum (MUSIC, 2012)

Optimization of tuning parameters for open node fault regularizer. - Chi-Sing Leung; Pui-Fai Sum; Yuxin Liu 008 (Neurocomputing, 2012)

RBF Networks Under the Concurrent Fault Situation. - Chi-Sing Leung; John Sum (IEEE Trans. Neural Networks Learn. Syst., 2012)

On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis. - John Sum; Chi-Sing Leung; Kevin I.-J. Ho (IEEE Trans. Neural Networks Learn. Syst., 2012)

Convergence Analyses on On-Line Weight Noise Injection-Based Training Algorithms for MLPs. - John Sum; Chi-Sing Leung; Kevin Ho (IEEE Trans. Neural Networks Learn. Syst., 2012)

Analysis on the Convergence Time of Dual Neural Network-Based WTA. - Yi Xiao 004; Yuxin Liu 008; Chi-Sing Leung; Pui-Fai Sum; Kevin Ho (IEEE Trans. Neural Networks Learn. Syst., 2012)

GPU Accelerated Spherical K-Means Training. - Yi Xiao 004; Ruibin Feng; Chi-Sing Leung; Pui-Fai Sum (ICONIP (2), 2013)

HEALPIX DCT technique for compressing PCA-based illumination adjustable images. - John Sum; Chi-Sing Leung; Ray C. C. Cheung; Tze-Yui Ho (Neural Comput. Appl., 2013)

Effect of Input Noise and Output Node Stochastic on Wang's kWTA. - John Sum; Chi-Sing Leung; Kevin I.-J. Ho (IEEE Trans. Neural Networks Learn. Syst., 2013)

The Performance of the Stochastic DNN-kWTA Network. - Ruibin Feng; Chi-Sing Leung; Kai-Tat Ng; John Sum (ICONIP (1), 2014)

An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network. - Ruibin Feng; Yi Xiao 004; Chi-Sing Leung; Peter W. M. Tsang; John Sum (Cogn. Comput., 2014)

Recurrent networks for compressive sampling. - Chi-Sing Leung; John Sum; Anthony G. Constantinides (Neurocomputing, 2014)

Lagrange programming neural networks for time-of-arrival-based source localization. - Andrew Chi-Sing Leung; John Sum; Hing-Cheung So; Anthony G. Constantinides; Frankie K. W. Chan (Neural Comput. Appl., 2014)

Non-Line-of-Sight Mitigation via Lagrange Programming Neural Networks in TOA-Based Localization. - Zi-Fa Han; Chi-Sing Leung; Hing-Cheung So; John Sum; Anthony G. Constantinides (ICONIP (3), 2015)

Noise on Gradient Systems with Forgetting. - Chang Su; John Sum; Chi-Sing Leung; Kevin I.-J. Ho (ICONIP (3), 2015)

Analysis on the Effect of Multitasking. - John Sum; Kevin Ho (SMC, 2015)

Online Training for Open Faulty RBF Networks. - Yi Xiao 004; Ruibin Feng; Chi-Sing Leung; Pui-Fai Sum (Neural Process. Lett., 2015)

Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks. - Ruibin Feng; Chi-Sing Leung; John Sum; Yi Xiao 004 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units. - Ruibin Feng; Chi-Sing Leung; John Sum (ICONIP (4), 2016)

Objective Function and Learning Algorithm for the General Node Fault Situation. - Yi Xiao 004; Ruibin Feng; Chi-Sing Leung; John Sum (IEEE Trans. Neural Networks Learn. Syst., 2016)

Scheduling jobs with multitasking and asymmetric switching costs. - Kevin I.-J. Ho; John Sum (SMC, 2017)

Editorial for Special Issue on ICONIP 2014. - John Sum; Andrew Chi-Sing Leung (Neural Process. Lett., 2017)

A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements. - Muideen Adegoke; Andrew Chi-Sing Leung; John Sum (ICONIP (2), 2018)

Fault-Resistant Algorithms for Single Layer Neural Networks. - Muideen Adegoke; Andrew Chi-Sing Leung; John Sum (ICONIP (2), 2018)

MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers. - Hao Wang 075; Andrew Chi-Sing Leung; John Sum (ICONIP (2), 2018)

Robustness Analysis on Dual Neural Network-based k WTA With Input Noise. - Ruibin Feng; Chi-Sing Leung; John Sum (IEEE Trans. Neural Networks Learn. Syst., 2018)

On Wang k WTA With Input Noise, Output Node Stochastic, and Recurrent State Noise. - John Sum; Chi-Sing Leung; Kevin I.-J. Ho (IEEE Trans. Neural Networks Learn. Syst., 2018)

Fault Tolerant Broad Learning System. - Muideen Adegoke; Chi-Sing Leung; John Sum (ICONIP (4), 2019)

Analysis on Dropout Regularization. - John Sum; Chi-Sing Leung (ICONIP (5), 2019)

Explicit Center Selection and Training for Fault Tolerant RBF Networks. - Hiu Tung Wong; Zhenni Wang; Chi-Sing Leung; John Sum (ICONIP (2), 2019)

Learning Algorithm for Boltzmann Machines With Additive Weight and Bias Noise. - John Sum; Chi-Sing Leung (IEEE Trans. Neural Networks Learn. Syst., 2019)

Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function. - Wenhao Lu; Chi-Sing Leung; John Sum (ICONIP (3), 2020)

Constrained Center Loss for Image Classification. - Zhanglei Shi; Hao Wang 075; Chi-Sing Leung; John Sum (ICONIP (5), 2020)

A Limitation of Gradient Descent Learning. - John Sum; Chi-Sing Leung; Kevin Ho (IEEE Trans. Neural Networks Learn. Syst., 2020)

On Gradient Descent for On-Chip Learning. - John Sum; Janet C. C. Chang (TAAI, 2021)

Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines. - Wenhao Lu; Chi-Sing Leung; John Sum (IEEE Access, 2021)

Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model. - Wenhao Lu; Chi-Sing Leung; John Sum (ICONIP (4), 2022)

DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units. - Wenhao Lu; Chi-Sing Leung; John Sum; Yi Xiao 004 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Distributed kWTA for Decentralized Auctions. - Gary Sum; John Sum; Andrew Chi-Sing Leung; Janet C. C. Chang (ICONIP (8), 2023)

Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm. - John Sum; Chi-Sing Leung (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Globally Stable LPNN Model for Sparse Approximation. - Hao Wang 075; Ruibin Feng; Chi-Sing Leung; John Sum; Anthony G. Constantinides (IEEE Trans. Neural Networks Learn. Syst., 2023)

Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks. - Muideen Adegoke; Hiu Tung Wong; Andrew Chi-Sing Leung; John Sum (J. Ambient Intell. Humaniz. Comput., 2023)

A Leaky Wang kWTA. - John Sum; Andrew Chi-Sing Leung; Janet C. C. Chang (ICONIP (4), 2024)

Outlier-Robust Range-Based Method for Estimating the Location and Velocity of a Moving Source Using LPNN. - Wenxin Xiong; Keyuan Hu; Jiajun He 001; Chi-Sing Leung; Hing Cheung So; John Sum (ICONIP (2), 2024)

Influence of Imperfections on the Operational Correctness of DNN-kWTA Model. - Wenhao Lu; Chi-Sing Leung; John Sum (IEEE Trans. Neural Networks Learn. Syst., 2024)