Complexity of Scheduling Tasks with Time-Dependent Execution Times. - Kevin I.-J. Ho; Joseph Y.-T. Leung; W.-D. Wei (Inf. Process. Lett., 1993)

Minimizing Maximum Weighted Error for Imprecise Computation Tasks. - Kevin I.-J. Ho; Joseph Y.-T. Leung; W.-D. Wei (J. Algorithms, 1994)

Scheduling Imprecise Computation Tasks with 0/1-constraint. - Kevin I.-J. Ho; Joseph Y.-T. Leung; W.-D. Wei (Discret. Appl. Math., 1997)

Two-Dimensional Electrophoresis Image Filter Based on Vector Quantization Technique. - Kevin I.-J. Ho; Tung-Shou Chen; Chun-Wei Tsai; Mingli Hsieh; Hui-Fang Tsai (PDPTA, 2004)

A Dual Criteria Preemptive Scheduling Problem For Minimax Error Of Imprecise Computation Tasks. - Kevin I.-J. Ho; Joseph Y.-T. Leung (Int. J. Found. Comput. Sci., 2004)

Dual Criteria Optimization Problems for Imprecise Computation Tasks. - Kevin I.-J. Ho (Handbook of Scheduling, 2004)

Analysis on the Session Life Time Distribution of Gnutella. - John Sum; Kevin Ho; Chung W. Ng; C. S. Wong; Gilbert H. Young (PDPTA, 2005)

Pricing Web Services. - Kevin Ho; John Sum; Gilbert H. Young (GPC, 2006)

Prediction Error of a Fault Tolerant Neural Network. - John Sum; Andrew Chi-Sing Leung; Kevin Ho (ICONIP (1), 2006)

On-line estimation of the final prediction error via recursive least-squares method. - John Sum; Kevin Ho (Neurocomputing, 2006)

University of British Columbia & Simon Fraser University - The Bricolage. - William Chao; Daniel Ha; Kevin Ho; Linda T. Kaastra; Minjung Kim; Andrew Wade (IEEE VAST, 2007)

University of British Columbia & Simon Fraser University - The Bricolage. - William Chao; Daniel Ha; Kevin Ho; Linda T. Kaastra; Minjung Kim; Andrew Wade; Brian D. Fisher (IEEE VAST, 2007)

From Tasks to Tools: A Field Study in Collaborative Visual Analytics. - Daniel Ha; Minjung Kim; Andrew Wade; William Chao; Kevin Ho; Linda T. Kaastra; Brian D. Fisher; John Dill (IEEE VAST, 2007)

Analysis on a Localized Pruning Method for Connected Dominating Sets. - John Sum; Jie Wu 001; Kevin Ho (J. Inf. Sci. Eng., 2007)

On Weight-Noise-Injection Training. - Kevin Ho; Chi-Sing Leung; John Sum (ICONIP (2), 2008)

On Node-Fault-Injection Training of an RBF Network. - John Sum; Chi-Sing Leung; Kevin Ho (ICONIP (2), 2008)

On the session lifetime distribution of Gnutella. - Kevin Ho; Jie Wu 001; John Sum (Int. J. Parallel Emergent Distributed Syst., 2008)

SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training. - John Sum; Kevin Ho (ICONIP (1), 2009)

On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise. - J. P. F. Sum; Chi-Sing Leung; Kevin I.-J. Ho (IEEE Trans. Neural Networks, 2009)

Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks. - Kevin I.-J. Ho; Chi-Sing Leung; John Sum (IEEE Trans. Neural Networks, 2010)

Analysis on Wang's kWTA with Stochastic Output Nodes. - John Sum; Chi-Sing Leung; Kevin Ho (ICONIP (3), 2011)

Training RBF network to tolerate single node fault. - Kevin Ho; Andrew Chi-Sing Leung; John Sum (Neurocomputing, 2011)

The effect of weight fault on associative networks. - Andrew Chi-Sing Leung; Pui-Fai Sum; Kevin Ho (Neural Comput. Appl., 2011)

A Novel Key Management Solution for Reinforcing Compliance With HIPAA Privacy/Security Regulations. - Chien-Ding Lee; Kevin I.-J. Ho; Wei-Bin Lee (IEEE Trans. Inf. Technol. Biomed., 2011)

Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs. - Kevin Ho; Chi-Sing Leung; John Sum (IEEE Trans. Neural Networks, 2011)

A CAPTCHA with Tips Related to Alphabets Upper or Lower Case. - Wei-Bin Lee; Che-Wei Fan; Kevin Ho; Chyi-Ren Dow (BWCCA, 2012)

Convergence Time of Wang's kWTA Network with Stochastic Output Nodes. - Kevin I.-J. Ho; Wei-Bin Lee; Siu-Chung Lau; John Sum (MUSIC, 2012)

High speed DDR2/3 PHY and dual CPU core design for 28nm SoC. - Kevin Ho; Tsung-Yi Chou; Po-Kai Chen; David J. Liou (VLSI-DAT, 2012)

On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis. - John Sum; Chi-Sing Leung; Kevin I.-J. Ho (IEEE Trans. Neural Networks Learn. Syst., 2012)

Convergence Analyses on On-Line Weight Noise Injection-Based Training Algorithms for MLPs. - John Sum; Chi-Sing Leung; Kevin Ho (IEEE Trans. Neural Networks Learn. Syst., 2012)

Analysis on the Convergence Time of Dual Neural Network-Based WTA. - Yi Xiao 004; Yuxin Liu 008; Chi-Sing Leung; Pui-Fai Sum; Kevin Ho (IEEE Trans. Neural Networks Learn. Syst., 2012)

The Effects of Learners' Personality Traits on M-Learning. - Saif Dewan; Kevin Ho (ACIS, 2013)

Effect of Input Noise and Output Node Stochastic on Wang's kWTA. - John Sum; Chi-Sing Leung; Kevin I.-J. Ho (IEEE Trans. Neural Networks Learn. Syst., 2013)

An S/Key-like One-Time Password Authentication Scheme Using Smart Cards for Smart Meter. - Wei-Bin Lee; Tzungher Chen; Wei-Rung Sun; Kevin I.-J. Ho (AINA Workshops, 2014)

A HIPAA-compliant key management scheme with revocation of authorization. - Wei-Bin Lee; Chien-Ding Lee; Kevin I.-J. Ho (Comput. Methods Programs Biomed., 2014)

Noise on Gradient Systems with Forgetting. - Chang Su; John Sum; Chi-Sing Leung; Kevin I.-J. Ho (ICONIP (3), 2015)

Analysis on the Effect of Multitasking. - John Sum; Kevin Ho (SMC, 2015)

Scheduling jobs with multitasking and asymmetric switching costs. - Kevin I.-J. Ho; John Sum (SMC, 2017)

What Would You Do?: Design Fiction and Ethics. - Eric P. S. Baumer; Timothy Berrill; Sarah C. Botwinick; Jonathan L. Gonzales; Kevin Ho; Allison Kundrik; Luke Kwon; Tim LaRowe; Chanh P. Nguyen; Fredy Ramirez; Peter Schaedler; William Ulrich; et al. (GROUP, 2018)

On Wang k WTA With Input Noise, Output Node Stochastic, and Recurrent State Noise. - John Sum; Chi-Sing Leung; Kevin I.-J. Ho (IEEE Trans. Neural Networks Learn. Syst., 2018)

The State of the Art in Visual Analysis Approaches for Ocean and Atmospheric Datasets. - Shehzad Afzal; Mohamad Mazen Hittawe; Sohaib Ghani; Tahira Jamil; Omar M. Knio; Markus Hadwiger; Kevin I.-J. Ho (Comput. Graph. Forum, 2019)

A Limitation of Gradient Descent Learning. - John Sum; Chi-Sing Leung; Kevin Ho (IEEE Trans. Neural Networks Learn. Syst., 2020)

The Role of the Internet in Influencing Multi-branding Strategies: An Empowerment Theory Perspective. - Cheuk Hang Au; Chih-Yuan Chou; Kevin Ho (ICIS, 2024)

Comparison of STR and EMLSR Performance in Wi-Fi 7 MLO. - Aishwarya Choorakuzhiyil; Kevin Ho; Sara Reyes (CoRR, 2025)