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John Sum
Pui-Fai Sum – J. P. F. Sum
Person information
- affiliation: Hong Kong Baptist University, Hong Kong
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2020 – today
- 2024
- [j56]Wenhao Lu
, Chi-Sing Leung
Influence of Imperfections on the Operational Correctness of DNN-kWTA Model. IEEE Trans. Neural Networks Learn. Syst. 35(10): 15021-15029 (2024) - 2023
- [j55]Muideen Adegoke
Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks. J. Ambient Intell. Humaniz. Comput. 14(12): 15643-15657 (2023) - [j54]John Sum
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2619-2632 (2023) - [j53]Hao Wang
A Globally Stable LPNN Model for Sparse Approximation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5218-5226 (2023) - [c45]Gary Sum, John Sum, Andrew Chi-Sing Leung, Janet C. C. Chang:
A Distributed kWTA for Decentralized Auctions. ICONIP (8) 2023: 136-147 - 2022
- [j52]Wenhao Lu
DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3184-3192 (2022) - [c44]Wenhao Lu, Chi-Sing Leung, John Sum:
Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model. ICONIP (4) 2022: 202-214 - 2021
- [j51]Wenhao Lu
Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines. IEEE Access 9: 112955-112965 (2021) - [c43]John Sum, Janet C. C. Chang:
On Gradient Descent for On-Chip Learning. TAAI 2021: 140-145 - 2020
- [j50]John Sum
A Limitation of Gradient Descent Learning. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2227-2232 (2020) - [c42]Zhanglei Shi
Constrained Center Loss for Image Classification. ICONIP (5) 2020: 70-78 - [c41]Wenhao Lu
Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function. ICONIP (3) 2020: 162-171
2010 – 2019
- 2019
- [j49]John Sum
Learning Algorithm for Boltzmann Machines With Additive Weight and Bias Noise. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3200-3204 (2019) - [c40]Muideen Adegoke
Fault Tolerant Broad Learning System. ICONIP (4) 2019: 95-103 - [c39]John Sum, Chi-Sing Leung:
Analysis on Dropout Regularization. ICONIP (5) 2019: 253-261 - [c38]Hiu Tung Wong, Zhenni Wang
Explicit Center Selection and Training for Fault Tolerant RBF Networks. ICONIP (2) 2019: 273-285 - 2018
- [j48]Ruibin Feng, Chi-Sing Leung
Robustness Analysis on Dual Neural Network-based k WTA With Input Noise. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1082-1094 (2018) - [j47]John Sum
On Wang k WTA With Input Noise, Output Node Stochastic, and Recurrent State Noise. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4212-4222 (2018) - [c37]Muideen Adegoke
A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements. ICONIP (2) 2018: 308-320 - [c36]Hao Wang, Andrew Chi-Sing Leung, John Sum:
MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers. ICONIP (2) 2018: 668-679 - [c35]Muideen Adegoke
Fault-Resistant Algorithms for Single Layer Neural Networks. ICONIP (2) 2018: 680-689 - 2017
- [j46]John Sum, Andrew Chi-Sing Leung
Editorial for Special Issue on ICONIP 2014. Neural Process. Lett. 45(3): 727-728 (2017) - [c34]Kevin I.-J. Ho, John Sum:
Scheduling jobs with multitasking and asymmetric switching costs. SMC 2017: 2927-2932 - 2016
- [j45]Yi Xiao, Ruibin Feng, Chi-Sing Leung
Objective Function and Learning Algorithm for the General Node Fault Situation. IEEE Trans. Neural Networks Learn. Syst. 27(4): 863-874 (2016) - [c33]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: 270-278 - 2015
- [j44]Yi Xiao, Ruibin Feng, Chi-Sing Leung
Online Training for Open Faulty RBF Networks. Neural Process. Lett. 42(2): 397-416 (2015) - [j43]Ruibin Feng, Chi-Sing Leung
Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2188-2193 (2015) - [c32]Zi-Fa Han, Chi-Sing Leung
Non-Line-of-Sight Mitigation via Lagrange Programming Neural Networks in TOA-Based Localization. ICONIP (3) 2015: 190-197 - [c31]Chang Su, John Sum, Chi-Sing Leung
Noise on Gradient Systems with Forgetting. ICONIP (3) 2015: 479-487 - [c30]John Sum, Kevin Ho:
Analysis on the Effect of Multitasking. SMC 2015: 204-209 - 2014
- [j42]Ruibin Feng, Yi Xiao, Chi-Sing Leung
An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network. Cogn. Comput. 6(3): 293-303 (2014) - [j41]Chi-Sing Leung
Recurrent networks for compressive sampling. Neurocomputing 129: 298-305 (2014) - [j40]Andrew Chi-Sing Leung
Lagrange programming neural networks for time-of-arrival-based source localization. Neural Comput. Appl. 24(1): 109-116 (2014) - [c29]Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng
The Performance of the Stochastic DNN-kWTA Network. ICONIP (1) 2014: 279-286 - 2013
- [j39]John Sum, Chi-Sing Leung
HEALPIX DCT technique for compressing PCA-based illumination adjustable images. Neural Comput. Appl. 22(7-8): 1291-1300 (2013) - [j38]John Sum, Chi-Sing Leung
Effect of Input Noise and Output Node Stochastic on Wang's kWTA. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1472-1478 (2013) - [c28]Yi Xiao, Ruibin Feng, Chi-Sing Leung
GPU Accelerated Spherical K-Means Training. ICONIP (2) 2013: 392-399 - 2012
- [j37]Chi-Sing Leung
Optimization of tuning parameters for open node fault regularizer. Neurocomputing 94: 32-45 (2012) - [j36]John Sum, Chi-Sing Leung
On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis. IEEE Trans. Neural Networks Learn. Syst. 23(2): 211-222 (2012) - [j35]Yi Xiao, Yuxin Liu, Chi-Sing Leung
Analysis on the Convergence Time of Dual Neural Network-Based WTA. IEEE Trans. Neural Networks Learn. Syst. 23(4): 676-682 (2012) - [j34]Chi-Sing Leung
RBF Networks Under the Concurrent Fault Situation. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1148-1155 (2012) - [j33]John Sum, Chi-Sing Leung
Convergence Analyses on On-Line Weight Noise Injection-Based Training Algorithms for MLPs. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1827-1840 (2012) - [c27]Chi-Sing Leung
On the Objective Function and Learning Algorithm for Concurrent Open Node Fault. ICONIP (3) 2012: 208-216 - [c26]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: 182-187 - 2011
- [j32]Kevin Ho, Andrew Chi-Sing Leung
Training RBF network to tolerate single node fault. Neurocomputing 74(6): 1046-1052 (2011) - [j31]Shue Kwan Mak, Pui-Fai Sum, Chi-Sing Leung
Regularizers for fault tolerant multilayer feedforward networks. Neurocomputing 74(11): 2028-2040 (2011) - [j30]Andrew Chi-Sing Leung
The effect of weight fault on associative networks. Neural Comput. Appl. 20(1): 113-121 (2011) - [j29]Tommy W. S. Chow, John Sum:
Guest editorial: special issue on the emerging applications of neural networks. Neural Comput. Appl. 20(7): 923-924 (2011) - [j28]Kevin Ho, Chi-Sing Leung
Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs. IEEE Trans. Neural Networks 22(2): 317-323 (2011) - [c25]John Sum, Chi-Sing Leung
Analysis on Wang's kWTA with Stochastic Output Nodes. ICONIP (3) 2011: 268-275 - [c24]Chi-Sing Leung
Regularizer for Co-existing of Open Weight Fault and Multiplicative Weight Noise. ICONIP (3) 2011: 276-283 - [c23]Chi-Sing Leung
Recovery of Sparse Signal from an Analog Network Model. ICONIP (3) 2011: 373-380 - 2010
- [j27]Hongjiang Wang, Chi-Sing Leung
Kernel Width Optimization for Faulty RBF Neural Networks with Multi-node Open Fault. Neural Process. Lett. 32(1): 97-107 (2010) - [j26]Kevin I.-J. Ho, Chi-Sing Leung
Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks. IEEE Trans. Neural Networks 21(6): 938-947 (2010) - [j25]Andrew Chi-Sing Leung
On the selection of weight decay parameter for faulty networks. IEEE Trans. Neural Networks 21(8): 1232-1244 (2010) - [c22]Chi-Sing Leung
Generalization Error of Faulty MLPs with Weight Decay Regularizer. ICONIP (2) 2010: 160-167 - [c21]Ping-Man Lam, Chi-Sing Leung
Lagrange Programming Neural Networks for Compressive Sampling. ICONIP (2) 2010: 177-184
2000 – 2009
- 2009
- [j24]J. P. F. Sum, Chi-Sing Leung
On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise. IEEE Trans. Neural Networks 20(1): 124-138 (2009) - [c20]Deng-yu Qiao, Chi-Sing Leung
Fault Tolerant Regularizers for Multilayer Feedforward Networks. ICONIP (1) 2009: 277-284 - [c19]John Sum, Kevin Ho:
SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training. ICONIP (1) 2009: 494-501 - 2008
- [j23]John Sum, Andrew Chi-Sing Leung
Prediction error of a fault tolerant neural network. Neurocomputing 72(1-3): 653-658 (2008) - [j22]Chi-Sing Leung
Improved transmission of vector quantized data over noisy channels. Neural Comput. Appl. 17(1): 1-9 (2008) - [j21]Kevin Ho, Jie Wu, John Sum:
On the session lifetime distribution of Gnutella. Int. J. Parallel Emergent Distributed Syst. 23(1): 1-15 (2008) - [j20]Chi-Sing Leung
A Fault-Tolerant Regularizer for RBF Networks. IEEE Trans. Neural Networks 19(3): 493-507 (2008) - [c18]Chi-Sing Leung
Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer. ICONIP (2) 2008: 316-323 - [c17]John Sum, Chi-Sing Leung
On Node-Fault-Injection Training of an RBF Network. ICONIP (2) 2008: 324-331 - [c16]Kevin Ho, Chi-Sing Leung
On Weight-Noise-Injection Training. ICONIP (2) 2008: 919-926 - [c15]John Sum, Wun-He Luo, Yung-Fa Huang
Equivalence between Weight Decay Learning and Explicit Regularization to Improve Fault Tolerance of RBF. ISDA (1) 2008: 152-157 - 2007
- [j19]John Sum, Jie Wu, Kevin Ho:
Analysis on a Localized Pruning Method for Connected Dominating Sets. J. Inf. Sci. Eng. 23(4): 1073-1086 (2007) - [c14]Chi-Sing Leung
Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise. ICONIP (1) 2007: 289-298 - [c13]Yung-Fa Huang
Fault Tolerance of Connectivity Performance in CDMA-Based Wireless Sensor Networks. ISPA Workshops 2007: 444-454 - [c12]Yung-Fa Huang
Lifetime Performance of an Energy Efficient Clustering Algorithm for Cluster-Based Wireless Sensor Networks. ISPA Workshops 2007: 455-464 - 2006
- [j18]John Sum, Kevin Ho:
On-line estimation of the final prediction error via recursive least-squares method. Neurocomputing 69(16-18): 2420-2424 (2006) - [c11]Kevin Ho, John Sum, Gilbert H. Young:
Pricing Web Services. GPC 2006: 147-156 - [c10]John Sum, Andrew Chi-Sing Leung, Kevin Ho:
Prediction Error of a Fault Tolerant Neural Network. ICONIP (1) 2006: 521-528 - 2005
- [j17]Wenyu Qu, Hong Shen, John Sum:
New analysis on mobile agents based network routing. Appl. Soft Comput. 6(1): 108-118 (2005) - [j16]Wenyu Qu, Hong Shen, John Sum:
Stochastic analysis of mobile agent-based e-shopping. Int. J. Electron. Bus. 3(3/4): 339-355 (2005) - [c9]John Sum, Kevin Ho, Chung W. Ng, C. S. Wong, Gilbert H. Young:
Analysis on the Session Life Time Distribution of Gnutella. PDPTA 2005: 1206-1214 - 2004
- [j15]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): 85-90 (2004) - [c8]Wenyu Qu, Hong Shen, John Sum:
Further Analysis on the Application of Mobile Agents in Network Routing. ICETE (1) 2004: 204-212 - [c7]John Sum, Mingshu Li, Chung W. Ng, Tony Wong, Gilbert H. Young:
A Study of the Connectedness of Gnutella. PDPTA 2004: 960-966 - [c6]John Sum, Siu-Chung Lau:
A Novel Connection Algorithm for P2P Network. PDPTA 2004: 967-972 - 2003
- [j14]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): 327-340 (2003) - [j13]John Sum, Hong Shen, Andrew Chi-Sing Leung
Analysis on a Mobile Agent-Based Algorithm for Network Routing and Management. IEEE Trans. Parallel Distributed Syst. 14(3): 193-202 (2003) - [c5]John Sum, Jie Wu:
On Two Allocation Methods for Web Services. PDPTA 2003: 1823-1828 - [c4]John Sum, Jie Wu:
Asymptotic Analysis on an Unbounded Zero-One Knapsack with Discrete-Sized Objects. PDPTA 2003: 1829-1831 - [c3]John Sum:
Two alternative soft self-organizing maps: their algorithms and applications. SMC 2003: 2587-2592 - 2001
- [j12]Chi-Sing Leung
A pruning method for the recursive least squared algorithm. Neural Networks 14(2): 147-174 (2001) - 2000
- [j11]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): 425-438 (2000) - [c2]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 - [c1]Hong Shen, John Sum, Gilbert H. Young, Susumu Horiguchi:
Efficient Algorithms for On-line Communication in Optical WDM Networks (Preliminary Version). PDPTA 2000
1990 – 1999
- 1999
- [j10]J. P. F. Sum, Wing-Kay Kan, Gilbert H. Young:
A Note on the Equivalence of NARX and RNN. Neural Comput. Appl. 8(1): 33-39 (1999) - [j9]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): 965-976 (1999) - [j8]J. P. F. Sum, Chi-Sing Leung
Analysis for a class of winner-take-all model. IEEE Trans. Neural Networks 10(1): 64-71 (1999) - [j7]John Sum, Chi-Sing Leung
On the Kalman filtering method in neural network training and pruning. IEEE Trans. Neural Networks 10(1): 161-166 (1999) - [j6]Chi-Sing Leung
On the regularization of forgetting recursive least square. IEEE Trans. Neural Networks 10(6): 1482-1486 (1999) - 1998
- [b1]Pui-Fai Sum:
Extended Kalman filter based pruning algorithms and several aspects of neural network learning. Chinese University of Hong Kong, Hong Kong, 1998 - [j5]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): 1481-1505 (1998) - 1997
- [j4]John Sum, Chi-Sing Leung
Yet another algorithm which can generate topography map. IEEE Trans. Neural Networks 8(5): 1204-1207 (1997) - 1996
- [j3]Chi-Sing Leung, Lai-Wan Chan, John Sum:
Attraction Basin of Bidirectional Associative Memories. Int. J. Neural Syst. 7(6): 715-726 (1996) - [j2]J. P. F. Sum, Peter Kwong-Shun Tam:
Note on the Maxnet Dynamics. Neural Comput. 8(3): 491-499 (1996) - [j1]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): 141-156 (1996)
Coauthor Index
Kevin I.-J. Ho
aka: Kevin Ho
aka: Kevin Ho
Andrew Chi-Sing Leung
aka: Chi-Sing Leung
aka: Chi-Sing Leung
[j56] [j55] [j54] [j53] [c45] [j52] [c44] [j51] [j50] [c42] [c41] [j49] [c40] [c39] [c38] [j48] [j47] [c37] [c36] [c35] [j46] [j45] [c33] [j44] [j43] [c32] [c31] [j42] [j41] [j40] [c29] [j39] [j38] [c28] [j37] [j36] [j35] [j34] [j33] [c27] [j32] [j31] [j30] [j28] [c25] [c24] [c23] [j27] [j26] [j25] [c22] [c21] [j24] [c20] [j23] [j22] [j20] [c18] [c17] [c16] [c14] [c10] [j15] [j14] [j13] [j12] [j11] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j1]
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last updated on 2024-10-23 21:21 CEST by the dblp team
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