John Sum

90 papers B 3C 1Misc 7Journal 48Unranked 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scheduling with Multitasking and Outsourcing.
Algorithms
John Sum, Kevin I.-J. Ho
2025 J jnl
A Fast Distributed Algorithm for Uniform Price Auction with Bidding Information Protection.
Comput.
John Sum, Chi-Sing Leung, Janet C. C. Chang
2025 J jnl
A Fast Wang kWTA With Application in Sealed-Bid Uniform Price Auction.
IEEE Trans. Neural Networks Learn. Syst.
John Sum, Chi-Sing Leung, Janet C. C. Chang
2025 J jnl
Analysis and Design of a Distributed kWTA With Application in Sealed-Bid Auctions With Bidding Price Privacy Protection.
IEEE Trans. Neural Networks Learn. Syst.
John Sum, Chi-Sing Leung, Janet C. C. Chang
2024 — conf
A Leaky Wang kWTA.
ICONIP (4)
John Sum, Andrew Chi-Sing Leung, Janet C. C. Chang
2024 J jnl
Influence of Imperfections on the Operational Correctness of DNN-kWTA Model.
IEEE Trans. Neural Networks Learn. Syst.
Wenhao Lu, Chi-Sing Leung, John Sum
2024 — conf
Outlier-Robust Range-Based Method for Estimating the Location and Velocity of a Moving Source Using LPNN.
ICONIP (2)
Wenxin Xiong, Keyuan Hu, Jiajun He, Chi-Sing Leung, Hing Cheung So, John Sum
2023 — conf
A Distributed kWTA for Decentralized Auctions.
ICONIP (8)
Gary Sum, John Sum, Andrew Chi-Sing Leung, Janet C. C. Chang
2023 J jnl
A Globally Stable LPNN Model for Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst.
Hao Wang, Ruibin Feng, Chi-Sing Leung, John Sum, Anthony G. Constantinides
2023 J jnl
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
John Sum, Chi-Sing Leung
2023 J jnl
Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks.
J. Ambient Intell. Humaniz. Comput.
Muideen Adegoke, Hiu Tung Wong, Andrew Chi-Sing Leung, John Sum
2022 J jnl
DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units.
IEEE Trans. Neural Networks Learn. Syst.
Wenhao Lu, Chi-Sing Leung, John Sum, Yi Xiao
2022 — conf
Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model.
ICONIP (4)
Wenhao Lu, Chi-Sing Leung, John Sum
2021 J jnl
Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines.
IEEE Access
Wenhao Lu, Chi-Sing Leung, John Sum
2021 — conf
On Gradient Descent for On-Chip Learning.
TAAI
John Sum, Janet C. C. Chang
2020 J jnl
A Limitation of Gradient Descent Learning.
IEEE Trans. Neural Networks Learn. Syst.
John Sum, Chi-Sing Leung, Kevin Ho
2020 — conf
Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function.
ICONIP (3)
Wenhao Lu, Chi-Sing Leung, John Sum
2020 — conf
Constrained Center Loss for Image Classification.
ICONIP (5)
Zhanglei Shi, Hao Wang, Chi-Sing Leung, John Sum
2019 — conf
Analysis on Dropout Regularization.
ICONIP (5)
John Sum, Chi-Sing Leung
2019 — conf
Explicit Center Selection and Training for Fault Tolerant RBF Networks.
ICONIP (2)
Hiu Tung Wong, Zhenni Wang, Chi-Sing Leung, John Sum
2019 — conf
Fault Tolerant Broad Learning System.
ICONIP (4)
Muideen Adegoke, Chi-Sing Leung, John Sum
2019 J jnl
Learning Algorithm for Boltzmann Machines With Additive Weight and Bias Noise.
IEEE Trans. Neural Networks Learn. Syst.
John Sum, Chi-Sing Leung
2018 — conf
A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements.
ICONIP (2)
Muideen Adegoke, Andrew Chi-Sing Leung, John Sum
2018 — conf
Fault-Resistant Algorithms for Single Layer Neural Networks.
ICONIP (2)
Muideen Adegoke, Andrew Chi-Sing Leung, John Sum
2018 — conf
MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers.
ICONIP (2)
Hao Wang, Andrew Chi-Sing Leung, John Sum
2018 J jnl
On Wang k WTA With Input Noise, Output Node Stochastic, and Recurrent State Noise.
IEEE Trans. Neural Networks Learn. Syst.
John Sum, Chi-Sing Leung, Kevin I.-J. Ho
2018 J jnl
Robustness Analysis on Dual Neural Network-based k WTA With Input Noise.
IEEE Trans. Neural Networks Learn. Syst.
Ruibin Feng, Chi-Sing Leung, John Sum
2017 J jnl
Editorial for Special Issue on ICONIP 2014.
Neural Process. Lett.
John Sum, Andrew Chi-Sing Leung
2017 B conf
Scheduling jobs with multitasking and asymmetric switching costs.
SMC
Kevin I.-J. Ho, John Sum
2016 — conf
Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units.
ICONIP (4)
Ruibin Feng, Chi-Sing Leung, John Sum
2016 J jnl
Objective Function and Learning Algorithm for the General Node Fault Situation.
IEEE Trans. Neural Networks Learn. Syst.
Yi Xiao, Ruibin Feng, Chi-Sing Leung, John Sum
2015 B conf
Analysis on the Effect of Multitasking.
SMC
John Sum, Kevin Ho
2015 — conf
Noise on Gradient Systems with Forgetting.
ICONIP (3)
Chang Su, John Sum, Chi-Sing Leung, Kevin I.-J. Ho
2015 — conf
Non-Line-of-Sight Mitigation via Lagrange Programming Neural Networks in TOA-Based Localization.
ICONIP (3)
Zi-Fa Han, Chi-Sing Leung, Hing-Cheung So, John Sum, Anthony G. Constantinides
2015 J jnl
Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks.
IEEE Trans. Neural Networks Learn. Syst.
Ruibin Feng, Chi-Sing Leung, John Sum, Yi Xiao
2014 J jnl
An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network.
Cogn. Comput.
Ruibin Feng, Yi Xiao, Chi-Sing Leung, Peter W. M. Tsang, John Sum
2014 J jnl
Lagrange programming neural networks for time-of-arrival-based source localization.
Neural Comput. Appl.
Andrew Chi-Sing Leung, John Sum, Hing-Cheung So, Anthony G. Constantinides, Frankie K. W. Chan
2014 J jnl
Recurrent networks for compressive sampling.
Neurocomputing
Chi-Sing Leung, John Sum, Anthony G. Constantinides
2014 — conf
The Performance of the Stochastic DNN-kWTA Network.
ICONIP (1)
Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng, John Sum
2013 J jnl
Effect of Input Noise and Output Node Stochastic on Wang's kWTA.
IEEE Trans. Neural Networks Learn. Syst.
John Sum, Chi-Sing Leung, Kevin I.-J. Ho
2013 J jnl
HEALPIX DCT technique for compressing PCA-based illumination adjustable images.
Neural Comput. Appl.
John Sum, Chi-Sing Leung, Ray C. C. Cheung, Tze-Yui Ho
2012 J jnl
Convergence Analyses on On-Line Weight Noise Injection-Based Training Algorithms for MLPs.
IEEE Trans. Neural Networks Learn. Syst.
John Sum, Chi-Sing Leung, Kevin Ho
2012 — conf
Convergence Time of Wang's kWTA Network with Stochastic Output Nodes.
MUSIC
Kevin I.-J. Ho, Wei-Bin Lee, Siu-Chung Lau, John Sum
2012 J jnl
On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst.
John Sum, Chi-Sing Leung, Kevin I.-J. Ho
2012 J jnl
RBF Networks Under the Concurrent Fault Situation.
IEEE Trans. Neural Networks Learn. Syst.
Chi-Sing Leung, John Sum
2011 — conf
Analysis on Wang's kWTA with Stochastic Output Nodes.
ICONIP (3)
John Sum, Chi-Sing Leung, Kevin Ho
2011 J jnl
Guest editorial: special issue on the emerging applications of neural networks.
Neural Comput. Appl.
Tommy W. S. Chow, John Sum
2011 J jnl
Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs.
IEEE Trans. Neural Networks
Kevin Ho, Chi-Sing Leung, John Sum
2011 — conf
Recovery of Sparse Signal from an Analog Network Model.
ICONIP (3)
Chi-Sing Leung, John Sum, Ping-Man Lam, Anthony G. Constantinides
2011 — conf
Regularizer for Co-existing of Open Weight Fault and Multiplicative Weight Noise.
ICONIP (3)
Chi-Sing Leung, John Sum
2011 J jnl
Training RBF network to tolerate single node fault.
Neurocomputing
Kevin Ho, Andrew Chi-Sing Leung, John Sum
2010 J jnl
Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks.
IEEE Trans. Neural Networks
Kevin I.-J. Ho, Chi-Sing Leung, John Sum
2010 — conf
Generalization Error of Faulty MLPs with Weight Decay Regularizer.
ICONIP (2)
Chi-Sing Leung, John Sum, Shue Kwan Mak
2010 — conf
Lagrange Programming Neural Networks for Compressive Sampling.
ICONIP (2)
Ping-Man Lam, Chi-Sing Leung, John Sum, Anthony G. Constantinides
2010 J jnl
On the selection of weight decay parameter for faulty networks.
IEEE Trans. Neural Networks
Andrew Chi-Sing Leung, Hongjiang Wang, John Sum
2009 — conf
SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training.
ICONIP (1)
John Sum, Kevin Ho
2008 — conf
Equivalence between Weight Decay Learning and Explicit Regularization to Improve Fault Tolerance of RBF.
ISDA (1)
John Sum, Wun-He Luo, Yung-Fa Huang, You-Ting Jheng
2008 J jnl
Improved transmission of vector quantized data over noisy channels.
Neural Comput. Appl.
Chi-Sing Leung, John Sum, Herbert Chan
2008 — conf
On Node-Fault-Injection Training of an RBF Network.
ICONIP (2)
John Sum, Chi-Sing Leung, Kevin Ho
2008 — conf
On Weight-Noise-Injection Training.
ICONIP (2)
Kevin Ho, Chi-Sing Leung, John Sum
2008 J jnl
On the session lifetime distribution of Gnutella.
Int. J. Parallel Emergent Distributed Syst.
Kevin Ho, Jie Wu, John Sum
2008 J jnl
Prediction error of a fault tolerant neural network.
Neurocomputing
John Sum, Andrew Chi-Sing Leung
2007 J jnl
Analysis on a Localized Pruning Method for Connected Dominating Sets.
J. Inf. Sci. Eng.
John Sum, Jie Wu, Kevin Ho
2007 — conf
Fault Tolerance of Connectivity Performance in CDMA-Based Wireless Sensor Networks.
ISPA Workshops
Yung-Fa Huang, Ching-Mu Chen, Tsair-Rong Chen, Jong-Shin Chen, John Sum
2007 — conf
Lifetime Performance of an Energy Efficient Clustering Algorithm for Cluster-Based Wireless Sensor Networks.
ISPA Workshops
Yung-Fa Huang, Wun-He Luo, John Sum, Lin-Huang Chang, Chih-Wei Chang, Rung Ching Chen
2006 J jnl
On-line estimation of the final prediction error via recursive least-squares method.
Neurocomputing
John Sum, Kevin Ho
2006 — conf
Prediction Error of a Fault Tolerant Neural Network.
ICONIP (1)
John Sum, Andrew Chi-Sing Leung, Kevin Ho
2006 C conf
Pricing Web Services.
GPC
Kevin Ho, John Sum, Gilbert H. Young
2005 Misc conf
Analysis on the Session Life Time Distribution of Gnutella.
PDPTA
John Sum, Kevin Ho, Chung W. Ng, C. S. Wong, Gilbert H. Young
2005 J jnl
New analysis on mobile agents based network routing.
Appl. Soft Comput.
Wenyu Qu, Hong Shen, John Sum
2005 J jnl
Stochastic analysis of mobile agent-based e-shopping.
Int. J. Electron. Bus.
Wenyu Qu, Hong Shen, John Sum
2004 Misc conf
A Novel Connection Algorithm for P2P Network.
PDPTA
John Sum, Siu-Chung Lau
2004 Misc conf
A Study of the Connectedness of Gnutella.
PDPTA
John Sum, Mingshu Li, Chung W. Ng, Tony Wong, Gilbert H. Young
2004 J jnl
Analysis and Design of an Agent Searching Algorithm for e-Marketplaces.
Clust. Comput.
Andrew Chi-Sing Leung, John Sum, Hong Shen, Jie Wu, Gilbert H. Young
2004 — conf
Further Analysis on the Application of Mobile Agents in Network Routing.
ICETE (1)
Wenyu Qu, Hong Shen, John Sum
2003 J jnl
Analysis on Extended Ant Routing Algorithms for Network Routing and Management.
J. Supercomput.
John Sum, Hong Shen, Gilbert H. Young, Jie Wu, Chi-Sing Leung
2003 J jnl
Analysis on a Mobile Agent-Based Algorithm for Network Routing and Management.
IEEE Trans. Parallel Distributed Syst.
John Sum, Hong Shen, Andrew Chi-Sing Leung, Gilbert H. Young
2003 Misc conf
Asymptotic Analysis on an Unbounded Zero-One Knapsack with Discrete-Sized Objects.
PDPTA
John Sum, Jie Wu
2003 Misc conf
On Two Allocation Methods for Web Services.
PDPTA
John Sum, Jie Wu
2003 B conf
Two alternative soft self-organizing maps: their algorithms and applications.
SMC
John Sum
2000 J jnl
A Local Training and Pruning Approach for Neural Networks.
Int. J. Neural Syst.
Sheng-Jiang Chang, Andrew Chi-Sing Leung, Kwok-Wo Wong, John Sum
2000 Misc conf
Efficient Algorithms for On-line Communication in Optical WDM Networks (Preliminary Version).
PDPTA
Hong Shen, John Sum, Gilbert H. Young, Susumu Horiguchi
2000 Misc conf
Efficient Dynamic Group Membership Updating for On-Line Communication in Optical WDM Networks (Preliminary Version).
PDPTA
Hong Shen, John Sum, Gilbert H. Young, Susumu Horiguchi
1999 J jnl
An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment.
Neural Comput.
John Sum, Andrew Chi-Sing Leung, Gilbert H. Young, Lai-Wan Chan, Wing-Kay Kan
1999 J jnl
On the Kalman filtering method in neural network training and pruning.
IEEE Trans. Neural Networks
John Sum, Chi-Sing Leung, Gilbert H. Young, Wing-Kay Kan
1999 J jnl
On the regularization of forgetting recursive least square.
IEEE Trans. Neural Networks
Chi-Sing Leung, Gilbert H. Young, John Sum, Wing-Kay Kan
1998 J jnl
Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks.
Neural Comput.
John Sum, Lai-Wan Chan, Andrew Chi-Sing Leung, Gilbert H. Young
1997 J jnl
Yet another algorithm which can generate topography map.
IEEE Trans. Neural Networks
John Sum, Chi-Sing Leung, Lai-Wan Chan, Lei Xu
1996 J jnl
Attraction Basin of Bidirectional Associative Memories.
Int. J. Neural Syst.
Chi-Sing Leung, Lai-Wan Chan, John Sum
1996 J jnl
Storage behavior and error correction capability of bidirectional associative memory under forgetting learning.
Neural Parallel Sci. Comput.
Andrew Chi-Sing Leung, Lai-Wan Chan, John Sum