Institute of Technology Management
National Chung Hsing University

John Sum, Professor
BEng, MPhil, PhD, IEEE Senior Member
IJCA Associate Editor, APNNA

Rm 821, College of Social Sci. & Mgt Building
250 Kuo Kuang Road, Taichung 402, Taiwan.
pfsum@nchu.edu.tw 		John Sum Photo
| Home | Education | Research | Publication | Teaching | Service | Travel Plan | About Project Supervision | About Collaboration | Research Skills Training (Facebook Login Required) | Extra Curricular Activities |
Names on papers: John Sum, John Pui-fai Sum, Pui Fai Sum, John P.F. Sum, J. Sum, J.P.Sum, J.P.F.Sum, P.F.Sum. Google My Citation
Kleinrock's Descendent: Leonard Kleinrock -> Ed Coffman -> Joeseph Y-T Leung -> Gilbert H. Young -> John Sum

Technical reports from my students

  1. Yu-Yun Lee, Survey on Operations and Service Management, Master Thesis, Institute of Technology Management, National Chung Hsing University, Taiwan, 2015.
  2. Mao-Sung Huang, Models for Service Systems Design, Master Thesis, Institute of Technology Management, National Chung Hsing University, Taiwan, 2015.
  3. Alan Song, Issues in the Measures for Journal Influence, Master Thesis, Institute of Technology Management, National Chung Hsing University, Taiwan, 2014.
  4. Denny Chih-Chiang Tsai, MyNext: A Collective Intelligence Enabled System for Cross-Checking Entrance Exam Results, Master Thesis, Institute of Technology Management, National Chung Hsing University, Taiwan, 2012. Full report (5.7M), Demo.
  5. Allen Yen-Lun Liang, Empirical studies on the online learning algorithms based on combining weight noise injection and weight decay , Master Thesis, Institute of Technology Management, National Chung Hsing University, Taiwan, 2010. Presenation slides (5M), Full report (over 124M).
  6. Mario Wei-ting Liao, SEM for purchase intention of home video game consoles, Master Thesis, Institute of E-Commerce, National Chung Hsing University, Taiwan, 2009. Presenation slides (1.5M), Conference paper (5M), Compressed file (109K), Questionaire (193K), Full report (5.7M), Compressed full report (461K).

Presentations

  1. John Sum, Breast Cancer Risk Prediction Using Neural Networks. (PPT)
  2. John Sum, Scale-Free Networks: Background evoluationary models and simulations. (PDF)
  3. John Sum, Computational Intelligence. (PPT)
  4. John Sum, Learning with weight noise, node fault and weight decay. (PDF)
  5. John Sum, RFID Reader Networks: Channel allocation algorithms, performance evaluation and simulator. (PPT)

Manuscripts/In Submission (resp. Rejected)/In Preparation

  1. John Sum and Chi-Sing Leung, Distributed kWTA with Heaviside output functions, March 2023.
  2. John Sum, Tutorial on Structural Equation Modelling, December 2019 (First draft: December 2008.)
  3. John Sum, Evolution of the Principles and Practises in Management, February 2017.
  4. John Sum, Chi-Sing Leung, Kevin Ho, Intractability of Operations Scheduling in the Presence of Multitasking, August 2014.
  5. John Sum, Service Systems Engineering: Framework and Systems Modeling, Janurary 2014.
  6. John Sum and Kevin Ho, Distributed Algorithms for RFID Readers Channel Assignment: Performance and Fault Tolerance. June, 2012.
  7. John Sum, Mario Wei-ting Liao, Structural equation model for the purchase intention of video game consoles.
  8. John Sum, Application of preference learning in MBA program ranking.

Journal Papers

  1. Wenhao Lu, Chi-Sing Leung, and John Sum, Influence of Imperfections on the Operational Correctness of DNN-WTA Model, accepted for publication in IEEE Transactions on Neural Networks and Learning Systems.
  2. Hao Wang, Ruibin Feng, Chi Sing Leung, John Pui-fai Sum, A.G. Constantinides, A globally stable LPNN model for sparse approximation, IEEE Transactions on Neural Networks and Learning Systems, Vol.34(8), pp. 5218-5226, Aug. 2023.
  3. Muideen Adegoke, Hiu Tung Wong, Andrew Chi Sing Leung and John Sum, Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks, Journal of Ambient Intelligence and Humanized Computing, Vol.14, pp. 15643-15657, 2023.
  4. John Sum and Chi-Sing Leung, Regularization effect of random node fault/noise on gradient descent learning algorithm, IEEE Transactions on Neural Networks and Learning Systems, Vol.34(5), pp.2619-2632, May 2023.
  5. Wenhao Lu, Chi-Sing Leung and John Sum, Yi Xiao, DNN-kWTA with bounded random offset voltage drifts in threshold logic units, IEEE Transactions on Neural Networks and Learning Systems, Vol.33(7), pp.3184-3192, July 2022.
  6. Wenhao Lu, Chi-Sing Leung and John Sum, Analysis on noisy Boltzmann machines and noisy restricted Boltzmann machines, IEEE Access, Vol. 9, pp. 112955-112965, 2021.
  7. John Sum, Chi-Sing Leung and Kevin Ho, A limitation of gradient descent learning, IEEE Transactions on Neural Networks and Learning Systems, Vol.31(6), pp.2227-2232, June 2020.
  8. John Sum and Chi-Sing Leung, Learning algorithm for Boltzmann Machines with additive weight and bias noise, IEEE Transactions on Neural Networks and Learning Systems, Vol.30(10), pp.3200-3204, October 2019.
  9. John Sum, Chi-Sing Leung and Kevin Ho, On Wang kWTA with input noise, output node stochastic and recurrent state noise, IEEE Transactions on Neural Networks and Learning Systems, Vol.29(9), pp.4212-4222, September 2018. (SCI)
  10. Ruibin Feng, Chi Sing Leung and John Pui-Fai Sum, Robustness analysis on Dual Neural Network-based kWTA with input noise, IEEE Transactions on Neural Networks and Learning Systems Vol.29(4), pp.1082-1094, April 2018. (SCI)
  11. Yi Xiao, Ruibin Feng, Chi Sing Leung and John Sum, Objective function and learning algorithm for the general node fault situation, IEEE Transactions on Neural Networks and Learning Systems, Vol.27(4):863-874, April 2016. (SCI)
  12. Ruibin Feng, Chi Sing Leung, John Sum and Yi Yiao, Properties and performance of imperfect dual neural network-based kWTA networks, IEEE Transactions on Neural Networks and Learning Systems, 26(9):2188-93, Sep 2015. (SCI)
  13. Yi Xiao, Ruibin Feng, Chi Sing Leung and Pui Fai Sum, Online training for open faulty RBF networks, Neural Processing Letters, Vol.42(2), 397-416, Oct 2015. (SCI)
  14. Ruibin Feng, Yi Xiao, Chi Sing Leung, Peter W. M. Tsang and John Sum, An improved fault-tolerant objective function and learning algorithm for training the radial basis function neural network, Cognitive Computation, Volume 6, Issue 3, pp 293-303, September 2014. (SCI)
  15. Chi Sing Leung, John Sum and Anthony G. Constantinides, Recurrent networks for compressive sampling, Neurocomputing, Vol. 129, 298-305, April 2014. (SCI)
  16. Chi Sing Leung, John Sum, Hing Cheung So, Anthony G. Constantinides and Frankie K. W. Chan, Lagrange programming neural networks for time-of-arrival-based source localization, Neural Computing and Applications, Vol.24(1), 109-116, January 2014. (SCI)
  17. John Sum, Chi-Sing Leung and Kevin Ho, Effect of input noise and output node stochastic on Wang's kWTA, IEEE Transactions on Neural Networks and Learning Systems, Vol.24(9), 1472-1478, Sep 2013. (SCI)
  18. John Sum, Chi Sing Leung, Ray C.C. Cheung and Tze-Yiu Ho, HEALPIX DCT Technique for compressing PCA based Illumination Adjustable Images, Neural Computing and Applications Vol.22(7), pp. 1291-1300, 2013. (SCI, Corresponding author)
  19. John Sum, Chi-Sing Leung and Kevin Ho, Convergence analyses on on-line weight noise injection-based training algorithms for MLPs, IEEE Transactions on Neural Networks and Learning Systems, Vol.23(11), 1827-1840, Nov 2012. (SCI)
  20. Chi-Sing Leung, Pui-Fai Sum and Yusin Liu, Optimization of tuning parameters for open node fault regularizer, Neurocomputing, Vol.94(1), 32-45, Oct 2012. (SCI)
  21. Chi-Sing Leung and John Sum, RBF networks under the concurrent fault situation, IEEE Transactions on Neural Networks and Learning Systems, Vol.23(7), 1148-1155, July 2012. (SCI)
  22. Yi Xiao, Yuxin Liu, Chi-Sing Leung, John Sum and Kevin Ho, Analysis on the Convergence Time of Dual Neural Network-Based k-WTA, IEEE Transactions on Neural Networks and Learning Systems, Vol.23(4), 676-682, April 2012. (SCI)
  23. John Sum, Chi-Sing Leung and Kevin Ho, Convergence analysis of on-line node fault injection-based training algorithms for MLP networks, IEEE Transactions on Neural Networks and Learning Systems, Vol.23(2), 211-222, Feb 2012. (SCI)
  24. Shue Kwan Mak, Pui-Fai Sum and Chi-Sing Leung, Regularizers for fault tolerant multilayer feedforward networks, Neurocomputing, Vol.74 (11), 2028-2040, May 2011. (SCI, Corresponding author)
  25. Kevin Ho, Chi-Sing Leung and John Sum, Objective functions of the online weight noise injection training algorithms for MLP. IEEE Transactions on Neural Networks, Vol.22(2), 317-323, Feb 2011. (SCI, Corresponding author)
  26. Kevin Ho, Chi-Sing Leung and John Sum, Training RBF network to tolerate single node fault, Neurocomputing, Vol.74(6), 1046-1052, Feb 2011. (SCI, Corresponding author)
  27. Chi-Sing Leung, Pui Fai Sum and Kevin Ho, The effect of weight fault on associative networks, Neural Computing and Applications, Vol.20(1), 113-121, Jan 2011. (SCI)
  28. Hong-Jiang Wang, Chi-Sing Leung, Pui-Fai Sum and Gang Wei, Kernel width optimization for faulty RBF neural networks with multi-node open fault, Neural Processing Letters, Vol.32(1), 97-107, August 2010. (SCI)
  29. Chi-Sing Leung, Hong-Jiang Wang and Pui-Fai Sum, Generalization and selection of weight decay parameter for fault tolerant, IEEE Transactions on Neural Networks, Vol.21(8), 1232-1244, August, 2010. (SCI)
  30. Kevin Ho, Chi-Sing Leung and John Sum, Analysis on the convergence and objective functions of some fault/noise injection-based on-line learning algorithms for RBF networks, IEEE Transactions on Neural Networks, Vol.21(6), 938-947, June, 2010. (SCI, Corresponding author)
  31. Hong-Jiang Wang, Fei Ji, Gang Wei, Chi-Sing Leung and Pui-Fai Sum, Regularization parameter selection for faulty neural networks, International Journal of Intelligent Systems and Technologies , Vol.4(1), 45-48, 2009.
  32. Kevin I.J. Ho, Jie Wu and John Sum, On unbounded zero-one knapsack with discrete-sized objects, International Journal of Computers & Applications, Vol.31, Issue 2, 2009. (EI, Corresponding author)
  33. John Sum, Fault tolerant learning for neural networks: Survey, framework and future work, International Journal of Advanced Information Technologies, Vol.3, N0.1, 122-144, June 2009. (Invited Paper)
  34. John Sum, Chi-Sing Leung and Kevin Ho, On objective function, regularizer and prediction error of a learning algorithm for dealing with multiplicative weight noise, IEEE Transactions on Neural Networks, Vol. 20(1), pp.124-138, January 2009. (SCI)
  35. John Sum and Chi-Sing Leung, Prediction error of a fault tolerant neural network, Neurocomputing, Vol. 72 (1-3), 653-658, December 2008. (SCI)
  36. John Sum, Jie Wu, Chi-Sing Leung and Kevin Ho, Analysis on a simulated model for Gnutella topology: Connectedness and extension, International Journal of Computers & Applications , Vol.30 (4), December 2008. (EI)
  37. Chi-Sing Leung and John Sum, A fault tolerant regularizer for RBF networks, IEEE Transactions on Neural Networks, Vol. 19 (3), pp.493-507, March 2008. (SCI)
  38. Chi-Sing Leung, John Sum and Herbert Chan, Improved transmission of vector quantized data over noisy channels, Neural Computing & Applications, Vol.17(1), pp.1-9, January 2008. (SCI)
  39. Kevin Ho, Jie Wu and John Sum, On session lifetime distribution of Gnutella, International Journal of Parallel, Emergent and Distributed Systems, Vol.23, No.1, pp.1-15, 2008. (EI, Corresponding author)
  40. John Sum, Jie Wu and Kevin Ho, Analysis on a localized pruning method for connected dominating sets, Journal of Information Science and Engineering, Vol.23(4), 1073-1086, July 2007. (Invited Paper, SCI)
  41. John Sum, Jie Wu and Chi-Sing Leung, On profit density based greedy algorithm for a resource allocation problem in web services, International Journal of Computers & Applications, Vol.29(2), 2007. (EI)
  42. John Sum and Kevin Ho, On-line estimation of the final prediction error via recursive least square method, Neurocomputing, Vol. 69, 2420-2424, 2006. (SCI)
  43. Wenyu Qu, Hong Shen and John Sum, New analysis on mobile agents based network routing, Applied Soft Computing, Volume 6(1), Pages 108-118, Nov 2005. (SCI)
  44. Wenyu Qu, Hong Shen and John Sum, Stochastic analysis on mobile agent-based e-shopping, International Journal of Electronic Business, Vol.3, 339-355, 2005. (ABI/Inform)
  45. Chi-Sing Leung, John Pui-Fai Sum, Hong Shen, Jie Wu and Gilbert H. Young, Analysis and design of an agent searching algorithm for e-marketplaces, Journal of Cluster Computing Vol. 7, 85-90, 2004. (SCI)
  46. Hong Shen, Yi Pan, John Sum and Susumu Horiguchi, Multicasting in multihop optical WDM networks with limited wavelength conversion, IEICE Transactions on Information and Systems, Vol. E86-D(1), p.3-14, 2003. (SCI)
  47. John Sum, Hong Shen, Gilbert H.Young, Jie Wu and Chi-Sing Leung, Analysis on extended ant routing algorithms for network routing and management, Journal of Supercomputing, Vo.24, 325-338, 2003. (SCI)
  48. John Sum, Hong Shen, Chi-Sing Leung and Gilbert Young, Analysis on a mobile agent based algorithm for network routing and management, IEEE Transactions on Parallel and Distributed Systems, Vol.14(3), 327-340, 2003. (SCI)
  49. Chi-Sing Leung, Kwok-Wo Wong, Pui-Fai Sum and Lai-Wan Chan, A pruning method for recursive least squared algorithm, Neural Networks, 14:147-174, 2001. (SCI)
  50. Sheng-Jiang Chang, John Sum, Kwok-Wo Wong and Chi-Sing Leung, Adaptive training and pruning in feedforward networks, Electronics Letters, Vol.37(2), 2001. (SCI)
  51. Sheng-Jiang Chang, Chi-Sing Leung, Kwok-Wo Wong and John Sum, A local training and pruning approach for neural networks, International Journal of Neural Systems, 18(6):425-438, 2000. (SCI)
  52. Chi-Sing Leung, Gilbert H.Young, John Sum and Wing-Kay Kan, On the regularization of forgetting recursive least square, IEEE Transactions on Neural Networks, Vol.10(6), 1482-1486, 1999. (SCI)
  53. John P.F. Sum, Gilbert H.Young and Wing-Kay Kan, A note on the equivalence of NARX and RNN, Neural Computing and Applications, Vol.8, 33-39, 1999. (SCI)
  54. John Sum, Chi-Sing Leung, Gilbert H. Young and Wing-Kay Kan, On the Kalman filtering method in neural network training and pruning, IEEE Transactions on Neural Networks, Vol.10(1), 161-166, 1999. (SCI)
  55. John Sum, Chi-Sing Leung, Lai-Wan Chan, Wing-Kay Kan and Gilbert H. Young, An adaptive Bayesian pruning for neural network in non-stationary environment, Neural Computation, Vol.11(4), 965-976, 1999. (SCI)
  56. John Sum, Chi-Sing Leung, Peter K.S. Tam, Gilbert H. Young, Wing-Kay Kan and Lai-Wan Chan, Analysis for a class of WTA model, IEEE Transactions on Neural Networks, Vol.10(1), 64-71, 1999. (SCI)
  57. John Sum, Chi-Sing Leung, Lai-Wan Chan and Gilbert H Young, Extended Kalman filter based pruning method for recurrent neural networks, Neural Computation, Vol.10(6), 1481-1505, 1998. (SCI)
  58. Chi-Sing Leung, Lai-Wan Chan and John Pui-Fai Sum, High performance learning rule for bidirectional associative memory, Neural Network World, 3/97, 325-334, 1997. (SCI)
  59. John Sum, Chi-Sing Leung, Lai-Wan Chan and Lei Xu, Yet another algorithm which can generate topography map, IEEE Transactions on Neural Networks, Vol.8(5), 1204-1207, 1997. (SCI)
  60. Chi-Sing Leung, Lai-Wan Chan and John Sum, Attraction Basin of Bidirectional Associative Memories, International Journal of Neural Systems, Vol.7(6), 715-726, 1996. (SCI)
  61. Chi-Sing Leung, Kwok-Wo Wong, John Sum, and Lai-Wan Chan, On-line training and pruning for RLS algorithms, Electronics Letters, Vol.32, No.23, 2152-2153, 1996. (SCI)
  62. Chi-Sing Leung, Lai-Wan Chan and John Sum, Storage behavior and error correction capability of bidirectional associative memory under forgetting learning, Neural, Parallel and Scientific Computations, 4(2):141-156, 1996.
  63. John P.F. Sum and Peter K.S.Tam, Note on maxnet dynamics, Neural Computation, 8, 491-499, 1996. (SCI)

Book Chapters

  1. Gary Sum, John Sum, Andrew Chi-Sing Leung, Janet C. C. Chang, A distributed kWTA for decentralized auctions, in Neural Information Processing, 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VIII, Springer Communications in Computer and Information Science (CCIS) 1962, pp.136-147, 2023.
  2. Wenhao Lu, Chi-Sing Leung, and John Sum, Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model. In International Conference on Neural Information Processing 2022 Nov 22 (pp. 202-214). Singapore: Springer Nature Singapore.
  3. Wenhao Lu, Chi-Sing Leung, and John Sum, Analysis on the Boltzmann machine with random input drifts in activation function, In: Yang H., Pasupa K., Leung A.CS., Kwok J.T., Chan J.H., King I. (eds) Neural Information Processing. ICONIP 2020, Springer LNCS 12534, pp.162-171, 2020.
  4. Zhanglei Shi, Hao Wang, Chi-Sing Leung, John Sum, Constrained center loss for image classification. In: Yang H., Pasupa K., Leung A.CS., Kwok J.T., Chan J.H., King I. (eds) Neural Information Processing. ICONIP 2020. Sprigner CCIS 1333, pp.70-78, 2020.
  5. John Sum and Chi-Sing Leung, Analysis on Dropout Regularization, ICONIP 2019.
  6. Muideen Adegoke, Chi Sing Leung, John Sum, Fault Tolerant Broad Learning System, ICONIP 2019.
  7. Hiu Tung Wong, Zhenni Wang, Chi Sing Leung, John Sum, Explicit Center Selection and Training for Fault Tolerant RBF Networks, ICONIP 2019.
  8. Chi Sing Leung, Hao Wang and John Sum, MCP based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers, ICONIP 2018.
  9. Chi Sing Leung, Muideen Adegoke and John Sum, A Robust LPNN Technique for Target Localization under Hybrid TOA/AOA Measurements, ICONIP 2018.
  10. Chi Sing Leung, Muideen Adegoke and John Sum, Fault-Resistant Algorithms For Single Layer Neural Networks, ICONIP 2018.
  11. Rubin Feng, Chi-Sing Leung, and John Sum, Analysis of the DNN-kWTA network model with drifts in the offset voltages of threshold logic units, in A. Hirose et al. (eds.), Proceedings of International Conference on Neural Information Processing, LNCS 9950, pp. 270-278, Springer International Publishing, 2016.
  12. Chang Su, John Sum, Chi Sing Leung and Kevin Ho, Noise on Gradient Systems with Forgetting, Proceedings of International Conference on Neural Information Processing LNCS 9491, pp. 479-487, Springer International Publishing, 2015.
  13. Zi-Fa Han, Chi Sing Leung, Hing Cheung So, John Sum and A. G. Constantinides, Non-Line-of-Sight Mitigation via Lagrangeprogramming neural networks in TOA-based Localization, Proceedings of International Conference on Neural Information Processing LNCS 9491, pp. 190-197, Springer International Publishing, 2015.
  14. Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng, and John Sum, The Performance of the Stochastic DNN-kWTA Network. In Neural Information Processing, C.K. Loo et al. (Eds.): ICONIP 2014, Part I, LNCS 8834, pp. 279–286, 2014.
  15. Yi Xiao, Rubin Feng, Chi-Sing Leung, Pui Fai Sum, GPU accelerated spherical K-means training, M. Lee et al (eds): ICONIP 2013, Part II, LNCS 8227, p.392-399, 2013.
  16. Chi Sing Leung, Pui-Fai Sum, Kai-Tat Ng: On the Objective Function and Learning Algorithm for Concurrent Open Node Fault. Springer LNCS, ICONIP (3) 2012: 208-216
  17. Chi Sing Leung and John Sum, Recovery of Sparse Signal from an Analog Network Model, Proceedings of the 16th International Conference on Neuro-Information Processing, Springer LNCS, 2011.
  18. Chi Sing Leung and Pui Fai Sum, Regularizer for Co-existing of open weight fault and multiplicative weight noise, Proceedings of the 16th International Conference on Neuro-Information Processing, Springer LNCS, 2011.
  19. John Sum, Chi-Sing Leung and Kevin Ho, Analysis On Wang's kWTA With Stochastic Output Nodes, Proceedings of the 16th International Conference on Neuro-Information Processing, Springer LNCS, 2011.
  20. Chi-sing Leung, Pui-fai Sum, Generalization error of faulty MLPs with weight decay regularizer. Proceedings of the 16th International Conference on Neuro-Information Processing, Springer LNCS, 2010.
  21. Ping-Man Lam, Chi Sing Leung, John Sum, and A. G. Constantinides, Lagrange Programming Neural Networks for Compressive Sampling, Proceedings of the 16th International Conference on Neuro-Information Processing, Springer LNCS, 2010.
  22. John Sum, Kevin Ho, SNIWD: Simultaneous weight noise injection with weight decay for MLP training, C.S. Leung and M. Lee and J.H. Chan (Eds), Neural Information Processing, Springer LNCS No.5863, p.494-501, 2009. Spring-Verlag Berlin Heidelberg.
  23. Deng-yu Qiao and Chi Sing Leung and Pui Fai Sum, Fault Tolerant Regularizers for Multilayer Feedforward Networks, C.S. Leung and M. Lee and J.H. Chan (Eds), Neural Information Processing, Springer LNCS No.5863, p.277-284, 2009. Spring-Verlag Berlin Heidelberg.
  24. Chi-sing Leung, John Sum and Hongjiang Wang, Analysis on generalization error of faulty RBF networks with weight decay regularizer, M.Koeppen, N.Kasabov and G.Coghill (Eds.), Advances in Neuro-Information Processing: Proceedings of the 15th International Conference on Neuro-Information Processing, Springer LNCS 5506/5507, 2009 (EI)
  25. Kevin Ho, Chi-sing Leung, and John Sum, On weight-noise-injection training, M.Koeppen, N.Kasabov and G.Coghill (Eds.), Advances in Neuro-Information Processing: Proceedings of the 15th International Conference on Neuro-Information Processing, Springer LNCS 5507, pp. 919–926, 2009 (EI, Corresponding author)
  26. John Sum, Chi-sing Leung, and Kevin Ho, On node-fault-injection training an RBF network, M.Koeppen, N.Kasabov and G.Coghill (Eds.), Advances in Neuro-Information Processing: Proceedings of the 15th International Conference on Neuro-Information Processing, Springer LNCS 5507, pp. 324-331, 2009 (EI)
  27. Chi-sing Leung, Pui-fai Sum and Tien-Tsin Wong, Analysis on Bidirectional Associative Memories with multiplicative weight noise, Neural Information Processing, Springer LNCS 4981, p.289-298, 2008. (EI)
  28. Yung-Fa Huang, W.-H. Luo, J. Sum, L.-H. Chang, C.-W. Chang, and R.-C. Chen, Lifetime Performance of an Energy Efficient Clustering Algorithm for Cluster-Based Wireless Sensor Networks, in Frontiers of High Performance Computing and Networking, LNCS 4743, pp. 455-464, 2007. Springer-Verlag Berlin Heidelberg. (EI)
  29. Yung-Fa Huang, C.-M. Chen, T.-R. Chen, J.-S. Chen, and J. Sum, Fault Tolerance of Connectivity Performance in CDMA-Based Wireless Sensor Network, in Frontiers of High Performance Computing and Networking, LNCS 4743, pp. 444-454, 2007. Springer-Verlag Berlin Heidelberg. (EI)
  30. John Sum, Chi-sing Leung and Kevin Ho, On prediction error of a fault tolerant neural network, Neural Information Processing, Springer LNCS No.4232, p.521-528, 2006. Spring-Verlag Berlin Heidelberg. (SCI)
  31. Kevin Ho, John Sum & GS Young, Pricing web services, in Y.-C. Chung and J.E. Moreira (Eds.) Advances in Grid & Pervasive Computing, Springer LNCS No.3947, p.147-156, 2006. Spring-Verlag Berlin Heidelberg. (SCI, Corresponding author)
  32. Wenyu Qu, Hong Shen and John Sum, New analysis on mobile agents based network routing, Design and Application of Hybrid Intelligent Systems (Frontiers in Artificial Intelligence and Applications), A. Abraham, M. Koppen and K. Franke (eds) IOS Press Inc. Amsterdam, The Netherlands, pp. 769-778, 2004.
  33. John Sum, Gilbert H. Young and Wing-kay Kan, Imprecise Neural Computation in Real-Time Neural System Design, Real Time Programming 1998, ed. L.-C. Zhang, A.H. Frigeri, W.A. Halang, 1998.
  34. Chi-sing Leung, Pui-fai Sum, Ah-chung Tsoi and Lai-wan Chan, Several aspects of pruning methods in recursive least square algorithms for neural networks, Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective, K. Wong et al. (eds.) Springer-Verlag, p.71-80, 1997.
  35. Peter K.S.Tam, John P.F. Sum, C.S.Leung and Lai-wan Chan, Network response time for a general class of WTA, Progress in Neural Information Processing, ed. by S.Amari et.al, Springer-Verlag, 1996, p492-495.
  36. C.S.Leung, Lai-wan Chan and John P.F. Sum, The statistical behavior of Bidirectional Associative Memory under Forgetting Learning, Progress in Neural Information Processing, ed. by S.Amari et.al, Springer-Verlag, 1996.

Conference Papers

  1. John Sum and Janet C.C. Chang, On Gradient Descent for On-Chip Learning, TAAI 2021 (International Track), Taichung, Taiwan.
  2. John Sum, Chi-Sing Leung and Janet Chang, On Wang kWTA with Recurrent State Decay, TAAI 2021 (Dometic Track), Taichung, Taiwan.
  3. John Sum, Misconception on the Regularization Effect of Noise or Fault Injection: Empirical Evidence, TAAI 2019 (Domestic Track), Kaohsiung, Taiwan.
  4. John Sum, Misconception on the Regularization Effect of Noise or Fault Injection: Theoretical Analysis, TAAI 2019 (Domestic Track), Kaohsiung, Taiwan.
  5. 賀信華, 沈培輝, 應用 LDA 及 BPN 在長篇電影評論分析, TAAI 2018, Taichung, Taiwan.
  6. 謝雅婷、沈培輝 Bass 領導理論之研究, 臺北大學企業管理學系學術研討會, November 17, 2017.
  7. Kevin I.-J. Ho, John Sum, Scheduling jobs with multitasking and asymmetric switching costs, IEEE SMC 2017 Conference, October 2017, Banff Canada.
  8. Chang Su, John Sum, Effect of weight noise and gradient noise on learning, Proc. 2016 International Conference on Advanced Information Technologies, Taichung Taiwan, 2016.
  9. John Sum, Kevin Ho, Analysis on the Effect of Multitasking, IEEE SMC 2015 Conference, October 2015, Hong Kong.
  10. Mao-Song Huang, John Sum, Kevin I.-J. Ho, Design Models for Service Systems, Service Science Research Forum, June 2015, Taichung, Taiwan.
  11. John Sum, Kevin I.-J. Ho, Operations Scheduling in the Presence of Multitasking and Symmetric Switching Cost, Proceedings of ICMSDM, May 2015, Taipei, Taiwan. (Best Paper Award)
  12. Yu-Yun Lee, Mao-Song Huang, John Sum, Missing Components in Operations and Service Management, Proceedings of ICMSDM, May 2015, Taipei Taiwan.
  13. Mao-Song Huang, John Sum Survey on Service Blueprint, Process Chain Network and Sequence Diagram in Modeling Service Delivery Processes, Proceedings of ICIM , May 2014, Taichung, Taiwan.
  14. John Sum, Chang-Han Song Notes on Publishing Intensity and Publishing Breadth, Proceedings of Asian Conference on Psychology and Behavorial Sciences, Osaka, Japan, March 2014.
  15. John Sum, Chang-Han Song, Luke Zong-Huan Xie, Service Engineering, Proceedings of CSMOT, Dec 2012.
  16. Denny Tsai, John Sum, MyNext: A Collective Intelligence Enabled System for Entrance Exam Results Cross-Checking, International Conference on Information Management, May 2012.
  17. Kevin I.J. Ho, Wei-Bin Lee, Siu-chung Lau, John Sum, Convergence Time of Wang's kWTA Network With Stochastic Output Nodes, FTRA MUSIC Vancouver June 2012.
  18. John Sum, Kevin Ho, RFID Reader Networks: Channel allocation algorithms, performance evaluation and simulator, Proc. Taiwan Management Symposiums, Taichung, March 2011.
  19. John Sum, Yen-Lun Liang, Chi-sing Leung, Kevin Ho, Empirical studies on weight noise injection based online learning algorithms, Proc. TAAI 2010 (Domestic Track).
  20. Kevin Ho, Chi-sing Leung, John Sum, Siu-chung Lau, Convergence Analysis of Multiplicative Weight Noise Injection During Training, Proc. TAAI 2010 (International Track). (Merit Paper Award - International Track)
  21. Kevin Ho, Chi-sing Leung, John Sum, Siu-chung Lau, Convergence Analysis of An On-Line Node Fault Injection Based Training Algorithm for MLP, Proc. TAAI 2010 (International Track).
  22. John Sum, Kevin Ho, Siu-chung Lau, Solving reader collision problem in large scale RFID systems: Algorithms, performance evaluation and discussions, The 5th International Conference in Green Energy Technology and Management Changhua, Taiwan, June 5-6, 2010.
  23. Zih-Jin Wang, John Sum and Kevin Ho, A Study on Prediction Error for Fault Tolerant Neural Networks, in Proc. TAAI'2009, Taichung, 2009.
  24. Kevin Ho and John Sum, Note on Weight Noise Injection During Training a MLP, in Proc. TAAI'2009, Taichung, 2009.
  25. John Sum, Mario Wei-ting Liao, SEM for purchase intention of home video game consoles, Proceedings of the 2009 International Conference in Management Sciences and Decision Making, Taiwan, 197-204, 2009. Presenation slides (1.5M), Conference paper (5M), Compressed file (109K), Questionaire (193K), Full report (5.7M), Compressed full report (461K).
  26. John Sum, Kevin Ho, Jaromir Horejsi, Brief survey on online injecting fault/noise-based fault tolerant learning algorithms, Proceedings of International Conference in Business & Ethic, Taichung, Taiwan, 2009.
  27. Kevin Ho, John Sum, G.S. Young, Implementation of EM Algorithms for Structural Equation Models uisng Matlab, Proceedings of International Conference in Business & Ethic, Taichung, Taiwan, 2009.
  28. John Sum, G.S. Young and Shine J. Chiang, Services pricing: Gomory-Baumol Price versus Shapley Value, in Proceedings of Symposium on Cross Strait Marketing & Trade Integration, October, China, 2008.
  29. Lipin Hsu, Kevin Ho, John Sum and Shine J. Chiang, Solving reader collision problem in dense RFID reader networks, in Proceedings of Symposium on Cross Strait Marketing & Trade Integration, October, China, 2008.
  30. John Sum, W.H. Luo, Y.F. Huang and You-Ting Jheng, Equivalence between Weight Decay Learning and Explicit Regularization to Improve Fault Tolerance of RBF, in Proc. of the 8th International Conference on Intelligent Systems Design and Applications (ISDA'08), Taiwan, 2008.
  31. W.H. Luo, Y.F. Huang, John Sum, Weight decay and explicit regularization algorithms on fault tolerance for RBF, in Proc. of Digital Technology Innovation Management, Taipei, June 28, 2008.
  32. John Sum and Mario Liao, Corporate social responsibility oriented marketing strategy, in Proc. 9th Annual Conference on Management, Taichung Taiwan, 2008. (In Chinese)
  33. 黃永發、沈培輝、洪勝偉、丁賢, “結合模擬退火與啟發式演算法應用 於RFID 系統之讀取器通道配置,” in Proc. of WCE 2008, Taipei, Taiwan, 5 Dec. 2008.
  34. Sheng-wei Hung, John Sum and Yung-fa Huang, Empirical analysis on the application of simulated annealing for RFID reader networks, in Proc. IECON'2008 Japan, 2008.
  35. John Sum , Fault tolerant learning: Survey and future work, Proc. 2008 International Conference on Advanced Information Technologies, Taichung Taiwan, 2008.
  36. Yung-fa Huang, S.W. Hung and John Sum , Reader collision avoidance methods for linear, triangular, mesh and hexagonal network structure, Proc. 2008 International Conference on Advanced Information Technologies, Taichung Taiwan, 2008. (In Chinese)
  37. W.H. Luo, John Sum , Y.F. Huang, Weight decay and explicit regularization in fault tolerant RBF learning, Proc. 2008 International Conference on Advanced Information Technologies, Taichung Taiwan, 2008. (In Chinese)
  38. Sheng-wei Hung, Yung-fa Huang, John Sum , Simulated annealing for the reader collision problem in RFID systems, 3rd International Symposium on Healthcare Information Management (UHIMA2008) March, 7, 2008, Tainan Taiwan, ROC.
  39. John Sum, Towards an objective function based framework for fault tolerant learning, in Proc. TAAI'2007, Taiwan.
  40. W.H. Luo, John Sum, Y.F. Huang, Empirical study of a fault tolerant RBF, in Proc. TAAI'2007, Taiwan. (In Chinese)
  41. J. Sum, C.S. Leung, L.P. Hsu, Y.F. Huang, An objective function for single node fault RBF learning, in Proc. TAAI'2007, Taiwan.
  42. Y.F. Hunag, S.W. Hung, J. Sum and J. Wong, Subband assignment problem in RFID system, in Proceeding of International Medical Informatics Symposium in Taiwan, 2007, Taiwan. (In Chinese)
  43. John Sum, Chi-sing Leung and Lipin Hsu, Fault tolerant learning using Kullback-Leibler Divergence, in Proc. TENCON'2007 Taipei, 2007.
  44. Yafang Tsai, Shih-wang Wu, John Sum, Chiawei Yu, The interative relation and value exchange of stakeholders in business network -- An example of the emergence medical network, 2007. (In Chinese)
  45. John Sum, Kevin Ho and Jie Wu, Some analytical results on a localized pruning method for connected dominating sets in MANETs, Proceedings of the 2nd Workshop on Wireless, Ad Hoc, and Sensor Networks, (WASN2006), p.149-156, National Central University, Taiwan, August 10, 2006.
  46. Reggie Kwan, John Sum, Philip Tsang and Andrew Lui, Categorizing documents in distributed environments -- A probabilistic approach, Proceedings of Management International Conference'06, Portoroz, Solovenia, 23-25 November, 2006.
  47. John Sum, On a multiple nodes fault tolerant training for RBF: Objective function, sensitivity analysis and relation to generalization, Proceedings of TAAI'2005, Tainan, ROC, 2005.
  48. John Sum, Kevin Ho, Chung W. Ng, C. S. Wong, G. Young, Analysis on the Session Life Time Distribution of Gnutella, Proceedings of PDPTA'05, Volume III, pp 1206-1211, Las Vegas, Nevada, June 2005 (EI)
  49. John Sum et al., Study on the connectedness of Gnutella, PDPTA'04 Las Vegas, 2004. (EI)
  50. John Sum and Siu-chung Lau, A novel connection mechanism for P2P, PDPTA'04, Las Vegas, 2004. (EI)
  51. Wenyu Qu, Hong Shen, John Sum, Further Analysis on the Application of Mobile Agents in Network Routing. 204-212 Proceedings of ICETE 2004, 1st International Conference on E-Business and Telecommunication Networks, Vol.1, 204-212, 2004.
  52. John Sum and Jan Chan, On a liar dice game: Bluff, Proceedings of International Conference on Machine Learning and Cybernetics 2003, Xi'an China, 2003. (EI)
  53. John Sum and Chi-sing Leung, Note on the error sensitivity measure for RBF networks, Proceedings of International Conference on Machine Learning and Cybernetics 2003, Xi'an China, 2003. (EI)
  54. John Sum, Two alternative soft self-organizing maps: Algorithms and application, Proceedings of IEEE SMC Conference 2003 (EI)
  55. John Sum and Jie Wu, On two allocation mechanisms for web services, PDPTA'03, Las Vegas, 2003 (EI)
  56. John Sum and Jie Wu, Average case analysis on a discrete-sized resource allocation problem, PDPTA'03 Las Vegas, 2003. (EI)
  57. John Sum, Comparative study on various pruning algorithms for RNN I: Complexity analysis, Proceedings of International Conference on Machine Learning and Cybernetics 2002, Beijing, China, p.2225-2230, 2002. (EI)
  58. John Sum and Jung-seng Tjiang, Comparative study on various pruning algorithms for RNN II: Experimental results and comparative analysis, Proceedings of International Conference on Machine Learning and Cybernetics 2002, Beijing, China, p.2231-2236, 2002. (EI)
  59. Reggie Kwan, John Sum and Chi-sing Leung, Probabilistic network: An intuitive approach for document categorization in distributed environment, Proceedings of New Century Information Technology Conference, August 15-16, 2002, Xiamen, China, 11-20.
  60. John Sum, Jie Wu, Hong Shen and Gilbert H. Young, Communication bottleneck in agent-mediated e-marketplace, Proceedings in PDPTA'01, 2001. (EI)
  61. John Sum, Hong Shen, Gilbert H.Young and Jie Wu, Analysis on extended ant routing algorithms for network routing and management, Proceedings in PDCAT'01, Taiwan, 2001. (EI)
  62. Hong Shen, John Sum, Gilbert H. F. Young, and Susumu Horiguchi, Efficient Dynamic Group Membership Updating for On-Line Communication in Optical WDM Networks, Proceedings of PDPTA'2000, Las Vegas. (EI)
  63. Hong Shen, John Sum, Gilbert H. F. Young, and Susumu Horiguchi, Efficient Algorithms for On-Line Communication in Optical WDM Networks Proceedings of PDPTA'2000, Las Vegas. (EI)
  64. John Sum, Johnny Yeung, Gilbert H.Young and Xue-jie Zhang, Improving the quality of customer services via Intranet based information system, in Proceedings of the APWEB'99, Hong Kong, 27-29 Sept., 1999.
  65. David Yu-liang Wu, John Sum, Siu-chung Lau, Eric Yeung and Cody Lau, Design issues of a mobile trading system using hand-held PC, appeared in Proceedings of the APWEB'99, Hong Kong, 27-29 Sept., 1999.
  66. John Sum, Hong Shen and Gilbert H.Young, Analysis on a mobile agent based algorithm for network management, presented in the 1999 International Conference on Parallel and Distributed Procedding Techniques and Applications, (PDPTA'99), Las Vegas, Nevada, USA, June 28 - July 1, 1999.
  67. John Sum, Johnny Yeung and Gilbert H.Young, An Intranet based information system for the Just-In-Time Minus customer services, appeared in Proceedings of the Fifth International Conference on Information Systems Analysis and Synthesis (ISAS'99), Orlando, USA, July 31 to August 4,1999.
  68. Gilbert H.~Young and John Sum, Parallel Algorithm for Neural Network Learning, Proceedings of Parallel and Distributed Computing and Network, Brisbane, Australia, December, p.491-496, 1998.
  69. John Sum, Gilbert H.~Young and Wing-kay Kan, Toward a design of recursive least square based training and pruning using SIMD machine, 10th International Conference on Parallel and Distributed Computing and Systems, Las Vegas, Nevada, 1998.
  70. G.H. Young, Y. Tsui, J. Sum, Y.F. Fong, L.K. Mak, W.Y. Ng and Y.T. Yiu, World Wide Wed Education Center~: An web-based cooperative teaching and learning environment, CSCWID'98.
  71. Wing-kay Kan, John Sum and Gilbert H. Young, Parallel extended Kalman filter approach for neural network learning and data cleaning, International Symposium on Operations Research nd its Applications (ISORA'98) August 20-22, 1998, Kunming, China.
  72. John Sum, Gilbert H. Young and Wing-kay Kan, Imprecise Neural Computation, International Conference in Theoretical Computer Science, City University of Hong Kong, 1998.
  73. Jacqueline Wong, Wing-kay Kan, Gilbert Young, John Sum, Probabilistic network approach for parallel data mining and document categorization, Proceedings of the Parallel and Distributed Processing Techniques and Applications'98, Vol.III, 1163-1168, 1998.
  74. John Sum, Gilbert H. Young, Wing-kay Kan, Partial Structure Approach for Imprecise Neural Computation, Proceedings of the Parallel and Distributed Processing Techniques and Application'98, Vol.II, 1081-1086, 1998.
  75. John Sum, Lai-wan Chan., On the approximation property of recurrent neural network, Proceedings of World Multiconferences on Systemics, Cybernetics and Informatics, 1997.
  76. J.Sum and L.W.Chan, Fuzzy self-organizing map: mechanism and convergence, Proceedings of IEEE ICNN'94-Florida, 1674-1679, 1994.
  77. J.Sum and L.W.Chan, Alternative membership function for sequential fuzzy clustering, Proceedings of FUZZ-IEEE'94, Florida, Vol.III, 1846-1851,1994.
  78. J.Sum and L.W.Chan, Fuzzy self-organizing map, Proceedings of WCNN San Diego, Vol.1, 732-737, 1994.
  79. J. Sum and L.W. Chan. Convergence of one-dimensional self-organizing map, Proceedings of International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, volume 1, pages 81-84, 1994.
  80. C.K.Lee, P.F.Sum and P.Tam, An unsupervised learning algorithm for character recognition, Proceeding of IJCNN'92-Baltimore, Vol.IV, 844-849. 1992.
  81. C.K.Lee, P.F.Sum and P.Tam, Hierarchical neural network for machine part recognition, Proceedings of ETFA'92, Melbourne, 526-530, 1992.
  82. P.F.Sum, C.K.Lee and P.Tam, Machine part recognition using layer nets, Proceedings of Automation'92 Taiwan, 1992.

Magazine articles, Thesis

  1. John Sum, New idea: Combinatorial auction, July Issue, P.86-87, The Coastal Trend, Shanghai, China 2002. (In Chinese)
  2. John Sum, Senate: A bidirectional CRM for e-marketplace, IT for SME, Hong Kong, March Issue, 2001. (In Chinese)
  3. John P.F.Sum, Extended Kalman Filter Based Pruning Algorithms And Several Aspects Of Neural Network Learning. PhD Dissertation, Department of Computer Science and Engineering, Chinese University of Hong Kong, 1998.
  4. John P.F. Sum, Soft Self Organizing Map. MPhil Thesis, Department of Computer Science and Engineering, Chinese University of Hong Kong, 1995.
  5. John Sum, Neural Network for Character Recognition, FYP Report, Department of Electronic Engineering, Hong Kong Polytechnic University, 1992.

Editorials

  1. John Sum, Andrew C.S. Leung, Editorial for Special Issue on ICONIP 2014, Neural Processing Letters, Vol.45(3), 727-728, June 2017. (SCI)
  2. Tommy W.S. Chow, John Sum, Guest editorial: special issue on the emerging applications of neural networks, Neural Computing and Applications, Vol.20, 923-924, 2011. (SCI)
  3. C.S.Leung, John Sum, C.L. Wang, G. Young, (Ed.) Proceedings of PDCAT2000 Hong Kong, 2000.