John Sum

发表

Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function

Wenhao Lu, Andrew Chi-Sing Leung, John Sum, 2020, ICONIP.

The Performance of the Stochastic DNN-kWTA Network

Andrew Chi-Sing Leung, John Sum, Ruibin Feng, 2014, ICONIP.

Lagrange programming neural networks for time-of-arrival-based source localization

Andrew Chi-Sing Leung, John Sum, Anthony G. Constantinides, 2013, Neural Computing and Applications.

Note on the Maxnet Dynamics

John Sum, Peter Kwong-Shun Tam, 1996, Neural Computation.

Convergence Analyses on On-Line Weight Noise Injection-Based Training Algorithms for MLPs

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Kernel Width Optimization for Faulty RBF Neural Networks with Multi-node Open Fault

Andrew Chi-Sing Leung, John Sum, Gang Wei, 2010, Neural Processing Letters.

On Node-Fault-Injection Training of an RBF Network

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2009, ICONIP.

Convergence Analysis of Node Fault Injection During Training

John Sum, Kevin Ho, Chi-sing Leung, 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.

A Study of the Connectedness of Gnutella

John Sum, Tony Wong, Gilbert H. Young, 2004, International Conference on Parallel and Distributed Processing Techniques and Applications.

Regularizer for Co-existing of Open Weight Fault and Multiplicative Weight Noise

Andrew Chi-Sing Leung, John Sum, J. Sum, 2011, ICONIP.

On Weight-Noise-Injection Training

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2009, ICONIP.

Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units

Andrew Chi-Sing Leung, John Sum, Ruibin Feng, 2016, ICONIP.

Analysis and Design of an Agent Searching Algorithm for e-Marketplaces

Jie Wu, Andrew Chi-Sing Leung, John Sum, 2004, Cluster Computing.

Attraction Basin of Bidirectional Associative Memories

Andrew Chi-Sing Leung, John Sum, Lai-Wan Chan, 1996, Int. J. Neural Syst..

Equivalence between Weight Decay Learning and Explicit Regularization to Improve Fault Tolerance of RBF

John Sum, Yung-Fa Huang, You-Ting Jheng, 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

Efficient Algorithms for On-line Communication in Optical WDM Networks (Preliminary Version)

John Sum, Hong Shen, Susumu Horiguchi, 2000, PDPTA.

On the Kalman filtering method in neural network training and pruning

Andrew Chi-Sing Leung, John Sum, Gilbert H. Young, 1999, IEEE Trans. Neural Networks.

Fault Tolerant Learning for Neural Networks: Survey, Framework and Future Work

John Sum, J. Sum, 2009 .

An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network

Andrew Chi-Sing Leung, John Sum, Peter Wai-Ming Tsang, 2013, Cognitive Computation.

Prediction error of a fault tolerant neural network

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2006, Neurocomputing.

Yet another algorithm which can generate topography map

Andrew Chi-Sing Leung, John Sum, Lai-Wan Chan, 1997, IEEE Trans. Neural Networks.

Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise

Andrew Chi-Sing Leung, John Sum, Tien-Tsin Wong, 2007, ICONIP.

Recurrent networks for compressive sampling

Andrew Chi-Sing Leung, John Sum, Anthony G. Constantinides, 2014, Neurocomputing.

Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer

Andrew Chi-Sing Leung, John Sum, Hongjiang Wang, 2009, ICONIP.

Extended Kalman filter based pruning algorithms and several aspects of neural network learning

John Sum, J. Sum, 1998 .

Properties and Performance of Imperfect Dual Neural Network-Based $k$ WTA Networks

Andrew Chi-Sing Leung, John Sum, Ruibin Feng, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Online Training for Open Faulty RBF Networks

Andrew Chi-Sing Leung, John Sum, Ruibin Feng, 2014, Neural Processing Letters.

On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2009, IEEE Transactions on Neural Networks.

Storage behavior and error correction capability of bidirectional associative memory under forgetting learning

Andrew Chi-Sing Leung, John Sum, Lai-Wan Chan, 1996, Neural Parallel Sci. Comput..

Fault-Resistant Algorithms for Single Layer Neural Networks

Andrew Chi-Sing Leung, John Sum, Muideen Adegoke, 2018, ICONIP.

Recovery of Sparse Signal from an Analog Network Model

Andrew Chi-Sing Leung, John Sum, Anthony G. Constantinides, 2011, ICONIP.

Constrained Center Loss for Image Classification

Andrew Chi-Sing Leung, John Sum, Hao Wang, 2020, ICONIP.

Fuzzy self-organizing map: mechanism and convergence

John Sum, Lai-Wan Chan, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

On the Objective Function and Learning Algorithm for Concurrent Open Node Fault

Andrew Chi-Sing Leung, John Sum, Kai Tat Ng, 2012, ICONIP.

A Novel Connection Algorithm for P2P Network

John Sum, Siu-Chung Lau, 2004, PDPTA.

Asymptotic Analysis on an Unbounded Zero-One Knapsack with Discrete-Sized Objects

Jie Wu, John Sum, 2003, PDPTA.

Noise on Gradient Systems with Forgetting

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2015, ICONIP.

Prediction error of a fault tolerant neural network

Andrew Chi-Sing Leung, John Sum, 2008, Neurocomputing.

Analysis on the Effect of Multitasking

John Sum, Kevin I.-J. Ho, J. Sum, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Editorial for Special Issue on ICONIP 2014

Andrew Chi-Sing Leung, John Sum, 2016, Neural Processing Letters.

A Note on the Equivalence of NARX and RNN

John Sum, Gilbert H. Young, Wing-Kay Kan, 1999, Neural Computing & Applications.

Convergence and Objective Functions of Some Fault/Noise-Injection-Based Online Learning Algorithms for RBF Networks

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2010, IEEE Transactions on Neural Networks.

Fault Tolerant Regularizers for Multilayer Feedforward Networks

Andrew Chi-Sing Leung, John Sum, Deng-yu Qiao, 2009, ICONIP.

Comparative study on various pruning algorithms for RNN. II. Experimental results and comparative analysis

John Sum, Jung-seng Tjiang, J. Sum, 2002, Proceedings. International Conference on Machine Learning and Cybernetics.

Explicit Center Selection and Training for Fault Tolerant RBF Networks

Andrew Chi-Sing Leung, John Sum, Hiu Tung Wong, 2019, ICONIP.

Pricing Web Services

John Sum, Kevin I.-J. Ho, Gilbert H. Young, 2006, GPC.

Analysis on Wang's kWTA with Stochastic Output Nodes

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2011, ICONIP.

On-line estimation of the final prediction error via recursive least-squares method

John Sum, Kevin I.-J. Ho, J. Sum, 2006, Neurocomputing.

Learning Algorithm for Boltzmann Machines With Additive Weight and Bias Noise

John Sum, Chi-Sing Leung, J. Sum, 2019, IEEE Transactions on Neural Networks and Learning Systems.

The effect of weight fault on associative networks

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2011, Neural Computing and Applications.

Analysis on a Mobile Agent-Based Algorithm for Network Routing and Management

Andrew Chi-Sing Leung, John Sum, Hong Shen, 2003, IEEE Trans. Parallel Distributed Syst..

An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment

Andrew Chi-Sing Leung, John Sum, Lai-Wan Chan, 1999, Neural Computation.

Effect of Input Noise and Output Node Stochastic on Wang's k WTA

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Stochastic analysis of mobile agent-based e-shopping

John Sum, Hong Shen, Wenyu Qu, 2005, Int. J. Electron. Bus..

Training RBF network to tolerate single node fault

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2011, Neurocomputing.

Fault Tolerance of Connectivity Performance in CDMA-Based Wireless Sensor Networks

John Sum, Tsair-Rong Chen, Yung-Fa Huang, 2007, ISPA Workshops.

Analysis on Extended Ant Routing Algorithms for Network Routing and Management

Jie Wu, Andrew Chi-Sing Leung, John Sum, 2003, The Journal of Supercomputing.

Scheduling jobs with multitasking and asymmetric switching costs

John Sum, Kevin I.-J. Ho, J. Sum, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Two alternative soft self-organizing maps: their algorithms and applications

John Sum, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Fault Tolerant Broad Learning System

Andrew Chi-Sing Leung, John Sum, Muideen Adegoke, 2019, ICONIP.

Analysis on Dropout Regularization

Andrew Chi-Sing Leung, John Sum, 2019, ICONIP.

A Local Training and Pruning Approach for Neural Networks

Kwok-Wo Wong, Andrew Chi-Sing Leung, John Sum, 2000, Int. J. Neural Syst..

On Two Allocation Methods for Web Services

Jie Wu, John Sum, 2003, PDPTA.

Objective Function and Learning Algorithm for the General Node Fault Situation

Andrew Chi-Sing Leung, John Sum, Ruibin Feng, 2016, IEEE Transactions on Neural Networks and Learning Systems.

On the Selection of Weight Decay Parameter for Faulty Networks

Andrew Chi-Sing Leung, John Sum, Hongjiang Wang, 2010, IEEE Transactions on Neural Networks.

Analysis on the Convergence Time of Dual Neural Network-Based WTA

Andrew Chi-Sing Leung, John Sum, Yuxin Liu, 2012, IEEE Trans. Neural Networks Learn. Syst..

Optimization of tuning parameters for open node fault regularizer

Andrew Chi-Sing Leung, John Sum, Yuxin Liu, 2012, Neurocomputing.

GPU Accelerated Spherical K-Means Training

Andrew Chi-Sing Leung, John Sum, Ruibin Feng, 2013, ICONIP.

Guest editorial: special issue on the emerging applications of neural networks

Tommy W. S. Chow, John Sum, 2010, Neural Computing and Applications.

Regularizers for fault tolerant multilayer feedforward networks

Andrew Chi-Sing Leung, John Sum, Shue Kwan Mak, 2011, Neurocomputing.

ICONIP 2009 Intelligent Liar Competition: Liar Dice (Individual Hand)

John Sum, 2009 .

HEALPIX DCT technique for compressing PCA-based illumination adjustable images

Andrew Chi-Sing Leung, John Sum, Ray C. C. Cheung, 2013, Neural Computing and Applications.

A pruning method for the recursive least squared algorithm

Kwok-Wo Wong, Andrew Chi-Sing Leung, John Sum, 2001, Neural Networks.

Improved transmission of vector quantized data over noisy channels

Andrew Chi-Sing Leung, John Sum, Herbert Chan, 2007, Neural Computing and Applications.

Extended Kalman filter in recurrent neural network training and pruning

John Sum, Lai-Wan Chan, Cyril S. K. Leung, 1996 .

Lagrange Programming Neural Networks for Compressive Sampling

Andrew Chi-Sing Leung, John Sum, Anthony G. Constantinides, 2010, ICONIP.

Further Analysis on the Application of Mobile Agents in Network Routing

John Sum, Hong Shen, Wenyu Qu, 2004, ICETE.

Generalization Error of Faulty MLPs with Weight Decay Regularizer

Andrew Chi-Sing Leung, John Sum, Shue Kwan Mak, 2010, ICONIP.

On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Analysis on a Simulated Model for Gnutell a Topology: Connectedness and Extension

John Sum, Jie Wu, Chi-Sing Leung, 2008 .

A Fault-Tolerant Regularizer for RBF Networks

Andrew Chi-Sing Leung, John Sum, J. Sum, 2008, IEEE Transactions on Neural Networks.

On the regularization of forgetting recursive least square

Andrew Chi-Sing Leung, John Sum, Gilbert H. Young, 1999, IEEE Trans. Neural Networks.

SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training

John Sum, Kevin I.-J. Ho, J. Sum, 2009, ICONIP.

Non-Line-of-Sight Mitigation via Lagrange Programming Neural Networks in TOA-Based Localization

Andrew Chi-Sing Leung, John Sum, Anthony G. Constantinides, 2015, ICONIP.

Convergence Time of Wang's kWTA Network with Stochastic Output Nodes

John Sum, Kevin I.-J. Ho, Wei-Bin Lee, 2012, 2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing.

Analysis for a class of winner-take-all model

Andrew Chi-Sing Leung, John Sum, Lai-Wan Chan, 1999, IEEE Trans. Neural Networks.

Network response time for a general class of WTA

John Sum, Lai-Wan Chan, Peter Kwong-Shun Tam, 1996 .

A Limitation of Gradient Descent Learning

John Sum, Chi-Sing Leung, Kevin Ho, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks

John Sum, Hiu Tung Wong, Andrew Chi Sing Leung, 2019, Journal of Ambient Intelligence and Humanized Computing.

Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs

Andrew Chi-Sing Leung, John Sum, Kevin I.-J. Ho, 2011, IEEE Transactions on Neural Networks.

International Journal of Parallel, Emergent and Distributed Systems on the Session Lifetime Distribution of Gnutella on the Session Lifetime Distribution of Gnutella

Jie Wu, John Sum, Kevin I.-J. Ho, 2022 .

Analysis on a Localized Pruning Method for Connected Dominating Sets

Jie Wu, John Sum, Kevin I.-J. Ho, 2007, J. Inf. Sci. Eng..

Analysis on the Session Life Time Distribution of Gnutella

John Sum, Kevin I.-J. Ho, C. S. Wong, 2005, PDPTA.

RBF Networks Under the Concurrent Fault Situation

Andrew Chi-Sing Leung, John Sum, J. Sum, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Lifetime Performance of an Energy Efficient Clustering Algorithm for Cluster-Based Wireless Sensor Networks

Rung Ching Chen, John Sum, Chih-Wei Chang, 2007, ISPA Workshops.

MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers

Andrew Chi-Sing Leung, John Sum, Hao Wang, 2018, ICONIP.

Efficient Dynamic Group Membership Updating for On-Line Communication in Optical WDM Networks (Preliminary Version)

John Sum, Hong Shen, Susumu Horiguchi, 2000, PDPTA.

Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks

Andrew Chi-Sing Leung, John Sum, Gilbert H. Young, 1998, Neural Comput..

A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements

Andrew Chi-Sing Leung, John Sum, Muideen Adegoke, 2018, ICONIP.

Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines

Wenhao Lu, John Sum, Chi-Sing Leung, 2021, IEEE Access.

Convergence of one-dimensional self-organizing map

John Sum, Lai-Wan Chan, 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

Convergence Analysis of Multiplicative Weight Noise Injection During Training

John Sum, Chi-sing Leung, Siu-chung Lau, 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.