John Sum

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 28

Top Topics

Learning Algorithm

Boltzmann Machines

Switching Costs

Noise Resistant

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

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)
Muideen Adegoke, Hiu Tung Wong, Andrew Chi-Sing Leung, John Sum
Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
Gary Sum, John Sum, Andrew Chi-Sing Leung, Janet C. C. Chang
A Distributed kWTA for Decentralized Auctions. ICONIP (8) (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)
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)
Wenhao Lu, Chi-Sing Leung, John Sum
Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model. ICONIP (4) (2022)
John Sum, Janet C. C. Chang
On Gradient Descent for On-Chip Learning. TAAI (2021)
Wenhao Lu, Chi-Sing Leung, John Sum
Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines. IEEE Access 9 (2021)
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)
John Sum, Chi-Sing Leung, Kevin Ho
A Limitation of Gradient Descent Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
John Sum, Chi-Sing Leung
Analysis on Dropout Regularization. ICONIP (5) (2019)
Muideen Adegoke, Chi-Sing Leung, John Sum
Fault Tolerant Broad Learning System. ICONIP (4) (2019)
Hiu Tung Wong, Zhenni Wang, Chi-Sing Leung, John Sum
Explicit Center Selection and Training for Fault Tolerant RBF Networks. ICONIP (2) (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)
Muideen Adegoke, Andrew Chi-Sing Leung, John Sum
Fault-Resistant Algorithms for Single Layer Neural Networks. ICONIP (2) (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)
Hao Wang, Andrew Chi-Sing Leung, John Sum
MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers. ICONIP (2) (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)
Muideen Adegoke, Andrew Chi-Sing Leung, John Sum
A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements. ICONIP (2) (2018)
Kevin I.-J. Ho, John Sum
Scheduling jobs with multitasking and asymmetric switching costs. SMC (2017)
John Sum, Andrew Chi-Sing Leung
Editorial for Special Issue on ICONIP 2014. Neural Process. Lett. 45 (3) (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)
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)
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)
John Sum, Kevin Ho
Analysis on the Effect of Multitasking. SMC (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)
Chi-Sing Leung, John Sum, Anthony G. Constantinides
Recurrent networks for compressive sampling. Neurocomputing 129 (2014)
Andrew Chi-Sing Leung, John Sum, Hing-Cheung So, Anthony G. Constantinides, Frankie K. W. Chan
Lagrange programming neural networks for time-of-arrival-based source localization. Neural Comput. Appl. 24 (1) (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)
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)
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)
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, John Sum
RBF Networks Under the Concurrent Fault Situation. IEEE Trans. Neural Networks Learn. Syst. 23 (7) (2012)
Kevin I.-J. Ho, Wei-Bin Lee, Siu-Chung Lau, John Sum
Convergence Time of Wang's kWTA Network with Stochastic Output Nodes. MUSIC (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)
Kevin Ho, Andrew Chi-Sing Leung, John Sum
Training RBF network to tolerate single node fault. Neurocomputing 74 (6) (2011)
Chi-Sing Leung, John Sum, Ping-Man Lam, Anthony G. Constantinides
Recovery of Sparse Signal from an Analog Network Model. ICONIP (3) (2011)
Chi-Sing Leung, John Sum
Regularizer for Co-existing of Open Weight Fault and Multiplicative Weight Noise. ICONIP (3) (2011)
John Sum, Chi-Sing Leung, Kevin Ho
Analysis on Wang's kWTA with Stochastic Output Nodes. ICONIP (3) (2011)
Tommy W. S. Chow, John Sum
Guest editorial: special issue on the emerging applications of neural networks. Neural Comput. Appl. 20 (7) (2011)
Kevin Ho, Chi-Sing Leung, John Sum
Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs. IEEE Trans. Neural Networks 22 (2) (2011)
Andrew Chi-Sing Leung, Hongjiang Wang, John Sum
On the selection of weight decay parameter for faulty networks. IEEE Trans. Neural Networks 21 (8) (2010)
Chi-Sing Leung, John Sum, Shue Kwan Mak
Generalization Error of Faulty MLPs with Weight Decay Regularizer. ICONIP (2) (2010)
Ping-Man Lam, Chi-Sing Leung, John Sum, Anthony G. Constantinides
Lagrange Programming Neural Networks for Compressive Sampling. ICONIP (2) (2010)
Kevin I.-J. Ho, Chi-Sing Leung, John Sum
Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks. IEEE Trans. Neural Networks 21 (6) (2010)
John Sum, Kevin Ho
SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training. ICONIP (1) (2009)
Kevin Ho, Chi-Sing Leung, John Sum
On Weight-Noise-Injection Training. ICONIP (2) (2008)
John Sum, Wun-He Luo, Yung-Fa Huang, You-Ting Jheng
Equivalence between Weight Decay Learning and Explicit Regularization to Improve Fault Tolerance of RBF. ISDA (1) (2008)
John Sum, Chi-Sing Leung, Kevin Ho
On Node-Fault-Injection Training of an RBF Network. ICONIP (2) (2008)
Kevin Ho, Jie Wu, John Sum
On the session lifetime distribution of Gnutella. Int. J. Parallel Emergent Distributed Syst. 23 (1) (2008)
Chi-Sing Leung, John Sum, Herbert Chan
Improved transmission of vector quantized data over noisy channels. Neural Comput. Appl. 17 (1) (2008)
John Sum, Andrew Chi-Sing Leung
Prediction error of a fault tolerant neural network. Neurocomputing 72 (1-3) (2008)
John Sum, Jie Wu, Kevin Ho
Analysis on a Localized Pruning Method for Connected Dominating Sets. J. Inf. Sci. Eng. 23 (4) (2007)
Yung-Fa Huang, Wun-He Luo, John Sum, Lin-Huang Chang, Chih-Wei Chang, Rung Ching Chen
Lifetime Performance of an Energy Efficient Clustering Algorithm for Cluster-Based Wireless Sensor Networks. ISPA Workshops (2007)
Yung-Fa Huang, Ching-Mu Chen, Tsair-Rong Chen, Jong-Shin Chen, John Sum
Fault Tolerance of Connectivity Performance in CDMA-Based Wireless Sensor Networks. ISPA Workshops (2007)
Kevin Ho, John Sum, Gilbert H. Young
Pricing Web Services. GPC (2006)
John Sum, Kevin Ho
On-line estimation of the final prediction error via recursive least-squares method. Neurocomputing 69 (16-18) (2006)
John Sum, Andrew Chi-Sing Leung, Kevin Ho
Prediction Error of a Fault Tolerant Neural Network. ICONIP (1) (2006)
Wenyu Qu, Hong Shen, John Sum
New analysis on mobile agents based network routing. Appl. Soft Comput. 6 (1) (2005)
John Sum, Kevin Ho, Chung W. Ng, C. S. Wong, Gilbert H. Young
Analysis on the Session Life Time Distribution of Gnutella. PDPTA (2005)
Wenyu Qu, Hong Shen, John Sum
Stochastic analysis of mobile agent-based e-shopping. Int. J. Electron. Bus. 3 (3/4) (2005)
Andrew Chi-Sing Leung, John Sum, Hong Shen, Jie Wu, Gilbert H. Young
Analysis and Design of an Agent Searching Algorithm for e-Marketplaces. Clust. Comput. 7 (1) (2004)
Wenyu Qu, Hong Shen, John Sum
Further Analysis on the Application of Mobile Agents in Network Routing. ICETE (1) (2004)
John Sum, Mingshu Li, Chung W. Ng, Tony Wong, Gilbert H. Young
A Study of the Connectedness of Gnutella. PDPTA (2004)
John Sum, Siu-Chung Lau
A Novel Connection Algorithm for P2P Network. PDPTA (2004)
John Sum, Hong Shen, Andrew Chi-Sing Leung, Gilbert H. Young
Analysis on a Mobile Agent-Based Algorithm for Network Routing and Management. IEEE Trans. Parallel Distributed Syst. 14 (3) (2003)
John Sum, Hong Shen, Gilbert H. Young, Jie Wu, Chi-Sing Leung
Analysis on Extended Ant Routing Algorithms for Network Routing and Management. J. Supercomput. 24 (3) (2003)
John Sum, Jie Wu
On Two Allocation Methods for Web Services. PDPTA (2003)
John Sum, Jie Wu
Asymptotic Analysis on an Unbounded Zero-One Knapsack with Discrete-Sized Objects. PDPTA (2003)
John Sum
Two alternative soft self-organizing maps: their algorithms and applications. SMC (2003)
Sheng-Jiang Chang, Andrew Chi-Sing Leung, Kwok-Wo Wong, John Sum
A Local Training and Pruning Approach for Neural Networks. Int. J. Neural Syst. 10 (6) (2000)
Hong Shen, John Sum, Gilbert H. Young, Susumu Horiguchi
Efficient Algorithms for On-line Communication in Optical WDM Networks (Preliminary Version). PDPTA (2000)
Hong Shen, John Sum, Gilbert H. Young, Susumu Horiguchi
Efficient Dynamic Group Membership Updating for On-Line Communication in Optical WDM Networks (Preliminary Version). PDPTA (2000)
John Sum, Chi-Sing Leung, Gilbert H. Young, Wing-Kay Kan
On the Kalman filtering method in neural network training and pruning. IEEE Trans. Neural Networks 10 (1) (1999)
Chi-Sing Leung, Gilbert H. Young, John Sum, Wing-Kay Kan
On the regularization of forgetting recursive least square. IEEE Trans. Neural Networks 10 (6) (1999)
John Sum, Andrew Chi-Sing Leung, Gilbert H. Young, Lai-Wan Chan, Wing-Kay Kan
An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment. Neural Comput. 11 (4) (1999)
John Sum, Lai-Wan Chan, Andrew Chi-Sing Leung, Gilbert H. Young
Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks. Neural Comput. 10 (6) (1998)
John Sum, Chi-Sing Leung, Lai-Wan Chan, Lei Xu
Yet another algorithm which can generate topography map. IEEE Trans. Neural Networks 8 (5) (1997)
Chi-Sing Leung, Lai-Wan Chan, John Sum
Attraction Basin of Bidirectional Associative Memories. Int. J. Neural Syst. 7 (6) (1996)
Andrew Chi-Sing Leung, Lai-Wan Chan, John Sum
Storage behavior and error correction capability of bidirectional associative memory under forgetting learning. Neural Parallel Sci. Comput. 4 (2) (1996)