John Sum

Orcid: 0000-0002-6965-4219

Affiliations:
  • Hong Kong Baptist University, Hong Kong


According to our database1, John Sum authored at least 101 papers between 1996 and 2023.

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Bibliography

2023
Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks.
J. Ambient Intell. Humaniz. Comput., December, 2023

A Globally Stable LPNN Model for Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

A Distributed kWTA for Decentralized Auctions.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units.
IEEE Trans. Neural Networks Learn. Syst., 2022

Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines.
IEEE Access, 2021

On Gradient Descent for On-Chip Learning.
Proceedings of the 2021 International Conference on Technologies and Applications of Artificial Intelligence, 2021

2020
A Limitation of Gradient Descent Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Constrained Center Loss for Image Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Learning Algorithm for Boltzmann Machines With Additive Weight and Bias Noise.
IEEE Trans. Neural Networks Learn. Syst., 2019

Explicit Center Selection and Training for Fault Tolerant RBF Networks.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Analysis on Dropout Regularization.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Fault Tolerant Broad Learning System.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
On Wang k WTA With Input Noise, Output Node Stochastic, and Recurrent State Noise.
IEEE Trans. Neural Networks Learn. Syst., 2018

Robustness Analysis on Dual Neural Network-based k WTA With Input Noise.
IEEE Trans. Neural Networks Learn. Syst., 2018

MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Fault-Resistant Algorithms for Single Layer Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Editorial for Special Issue on ICONIP 2014.
Neural Process. Lett., 2017

Scheduling jobs with multitasking and asymmetric switching costs.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016
Objective Function and Learning Algorithm for the General Node Fault Situation.
IEEE Trans. Neural Networks Learn. Syst., 2016

Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks.
IEEE Trans. Neural Networks Learn. Syst., 2015

Online Training for Open Faulty RBF Networks.
Neural Process. Lett., 2015

Analysis on the Effect of Multitasking.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Noise on Gradient Systems with Forgetting.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Non-Line-of-Sight Mitigation via Lagrange Programming Neural Networks in TOA-Based Localization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Lagrange programming neural networks for time-of-arrival-based source localization.
Neural Comput. Appl., 2014

Recurrent networks for compressive sampling.
Neurocomputing, 2014

An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network.
Cogn. Comput., 2014

The Performance of the Stochastic DNN-kWTA Network.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Effect of Input Noise and Output Node Stochastic on Wang's kWTA.
IEEE Trans. Neural Networks Learn. Syst., 2013

HEALPIX DCT technique for compressing PCA-based illumination adjustable images.
Neural Comput. Appl., 2013

GPU Accelerated Spherical K-Means Training.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Analysis on the Convergence Time of Dual Neural Network-Based WTA.
IEEE Trans. Neural Networks Learn. Syst., 2012

Convergence Analyses on On-Line Weight Noise Injection-Based Training Algorithms for MLPs.
IEEE Trans. Neural Networks Learn. Syst., 2012

On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2012

RBF Networks Under the Concurrent Fault Situation.
IEEE Trans. Neural Networks Learn. Syst., 2012

Optimization of tuning parameters for open node fault regularizer.
Neurocomputing, 2012

Convergence Time of Wang's kWTA Network with Stochastic Output Nodes.
Proceedings of the Third FTRA International Conference on Mobile, 2012

On the Objective Function and Learning Algorithm for Concurrent Open Node Fault.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs.
IEEE Trans. Neural Networks, 2011

The effect of weight fault on associative networks.
Neural Comput. Appl., 2011

Guest editorial: special issue on the emerging applications of neural networks.
Neural Comput. Appl., 2011

Regularizers for fault tolerant multilayer feedforward networks.
Neurocomputing, 2011

Training RBF network to tolerate single node fault.
Neurocomputing, 2011

Analysis on Wang's kWTA with Stochastic Output Nodes.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Recovery of Sparse Signal from an Analog Network Model.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Regularizer for Co-existing of Open Weight Fault and Multiplicative Weight Noise.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
On the selection of weight decay parameter for faulty networks.
IEEE Trans. Neural Networks, 2010

Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks.
IEEE Trans. Neural Networks, 2010

Kernel Width Optimization for Faulty RBF Neural Networks with Multi-node Open Fault.
Neural Process. Lett., 2010

Generalization Error of Faulty MLPs with Weight Decay Regularizer.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Lagrange Programming Neural Networks for Compressive Sampling.
Proceedings of the Neural Information Processing. Models and Applications, 2010

2009
On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise.
IEEE Trans. Neural Networks, 2009

SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Fault Tolerant Regularizers for Multilayer Feedforward Networks.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
A Fault-Tolerant Regularizer for RBF Networks.
IEEE Trans. Neural Networks, 2008

On the session lifetime distribution of Gnutella.
Int. J. Parallel Emergent Distributed Syst., 2008

Improved transmission of vector quantized data over noisy channels.
Neural Comput. Appl., 2008

Prediction error of a fault tolerant neural network.
Neurocomputing, 2008

Equivalence between Weight Decay Learning and Explicit Regularization to Improve Fault Tolerance of RBF.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

On Node-Fault-Injection Training of an RBF Network.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

On Weight-Noise-Injection Training.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007
Analysis on a Localized Pruning Method for Connected Dominating Sets.
J. Inf. Sci. Eng., 2007

Lifetime Performance of an Energy Efficient Clustering Algorithm for Cluster-Based Wireless Sensor Networks.
Proceedings of the Frontiers of High Performance Computing and Networking ISPA 2007 Workshops, 2007

Fault Tolerance of Connectivity Performance in CDMA-Based Wireless Sensor Networks.
Proceedings of the Frontiers of High Performance Computing and Networking ISPA 2007 Workshops, 2007

Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
On-line estimation of the final prediction error via recursive least-squares method.
Neurocomputing, 2006

Prediction Error of a Fault Tolerant Neural Network.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Pricing Web Services.
Proceedings of the Advances in Grid and Pervasive Computing, 2006

2005
Stochastic analysis of mobile agent-based e-shopping.
Int. J. Electron. Bus., 2005

New analysis on mobile agents based network routing.
Appl. Soft Comput., 2005

Analysis on the Session Life Time Distribution of Gnutella.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2005

2004
Analysis and Design of an Agent Searching Algorithm for e-Marketplaces.
Clust. Comput., 2004

A Study of the Connectedness of Gnutella.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2004

A Novel Connection Algorithm for P2P Network.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2004

Further Analysis on the Application of Mobile Agents in Network Routing.
Proceedings of the ICETE 2004, 2004

2003
Analysis on a Mobile Agent-Based Algorithm for Network Routing and Management.
IEEE Trans. Parallel Distributed Syst., 2003

Analysis on Extended Ant Routing Algorithms for Network Routing and Management.
J. Supercomput., 2003

Two alternative soft self-organizing maps: their algorithms and applications.
Proceedings of the IEEE International Conference on Systems, 2003

Asymptotic Analysis on an Unbounded Zero-One Knapsack with Discrete-Sized Objects.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2003

On Two Allocation Methods for Web Services.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2003

2001
A pruning method for the recursive least squared algorithm.
Neural Networks, 2001

2000
A Local Training and Pruning Approach for Neural Networks.
Int. J. Neural Syst., 2000

Efficient Algorithms for On-line Communication in Optical WDM Networks (Preliminary Version).
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2000

Efficient Dynamic Group Membership Updating for On-Line Communication in Optical WDM Networks (Preliminary Version).
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2000

1999
On the Kalman filtering method in neural network training and pruning.
IEEE Trans. Neural Networks, 1999

Analysis for a class of winner-take-all model.
IEEE Trans. Neural Networks, 1999

On the regularization of forgetting recursive least square.
IEEE Trans. Neural Networks, 1999

An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment.
Neural Comput., 1999

A Note on the Equivalence of NARX and RNN.
Neural Comput. Appl., 1999

1998
Extended Kalman filter based pruning algorithms and several aspects of neural network learning.
PhD thesis, 1998

Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks.
Neural Comput., 1998

1997
Yet another algorithm which can generate topography map.
IEEE Trans. Neural Networks, 1997

1996
Storage behavior and error correction capability of bidirectional associative memory under forgetting learning.
Neural Parallel Sci. Comput., 1996

Note on the Maxnet Dynamics.
Neural Comput., 1996

Attraction Basin of Bidirectional Associative Memories.
Int. J. Neural Syst., 1996


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