Kwok-Leung Tsui

Orcid: 0000-0002-0558-2279

Affiliations:
  • City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong
  • Georgia Institute of Technology, Atlanta, GA, USA


According to our database1, Kwok-Leung Tsui authored at least 147 papers between 1999 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Viewpoint-invariant exercise repetition counting.
Health Inf. Sci. Syst., December, 2024

Sparsity-Constrained Invariant Risk Minimization for Domain Generalization With Application to Machinery Fault Diagnosis Modeling.
IEEE Trans. Cybern., March, 2024

Optimal Composite Likelihood Estimation and Prediction for Distributed Gaussian Process Modeling.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

PFFN: Periodic Feature-Folding Deep Neural Network for Traffic Condition Forecasting.
IEEE Internet Things J., January, 2024

Adaptive Fault Components Extraction by Using an Optimized Weights Spectrum Based Index for Machinery Fault Diagnosis.
IEEE Trans. Ind. Electron., 2024

2023
CAMV: A Crash Alarm Model for Vehicles Based on Internet of Vehicles Data.
IEEE Trans. Intell. Transp. Syst., November, 2023

Design of a Sensor-Technology-Augmented Gait and Balance Monitoring System for Community-Dwelling Older Adults in Hong Kong: A Pilot Feasibility Study.
Sensors, September, 2023

An Indoor Fall Monitoring System: Robust, Multistatic Radar Sensing and Explainable, Feature-Resonated Deep Neural Network.
IEEE J. Biomed. Health Informatics, April, 2023

A Deep Generative Approach for Rail Foreign Object Detections via Semisupervised Learning.
IEEE Trans. Ind. Informatics, 2023

How Do Paternalistic Leaders Motivate Employees' Information Security Compliance? Building a Climate and Applying Sanctions.
J. Assoc. Inf. Syst., 2023

Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework.
CoRR, 2023

2022
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow.
IEEE Trans. Intell. Transp. Syst., 2022

OSESgram: Data-Aided Method for Selection of Informative Frequency Bands for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

A Systematic Review of Wearable Sensor-Based Technologies for Fall Risk Assessment in Older Adults.
Sensors, 2022

Monitoring dynamic networks: A simulation-based strategy for comparing monitoring methods and a comparative study.
Qual. Reliab. Eng. Int., 2022

Nowcasting influenza-like illness (ILI) via a deep learning approach using google search data: An empirical study on Taiwan ILI.
Int. J. Intell. Syst., 2022

Automatic fall risk assessment with Siamese network for stroke survivors using inertial sensor-based signals.
Int. J. Intell. Syst., 2022

Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network.
Frontiers Artif. Intell., 2022

2021
Correction to "High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data".
IEEE Trans. Intell. Transp. Syst., 2021

The Variational Kernel-Based 1-D Convolutional Neural Network for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring.
IEEE Trans. Instrum. Meas., 2021

Signal-Disturbance Interfacing Elimination for Unbiased Model Parameter Identification of Lithium-Ion Battery.
IEEE Trans. Ind. Informatics, 2021

Active Balancing of Lithium-Ion Batteries Using Graph Theory and A-Star Search Algorithm.
IEEE Trans. Ind. Informatics, 2021

Doubly Stochastic Cumulative Damage Model for RUL Prediction of HDDs in Uncertain Operating Environments.
IEEE Trans. Ind. Electron., 2021

An Adaptive Gaussian Process-Based Search for Stochastically Constrained Optimization via Simulation.
IEEE Trans Autom. Sci. Eng., 2021

An Adaptive Weight Learning-Based Multitask Deep Network for Continuous Blood Pressure Estimation Using Electrocardiogram Signals.
Sensors, 2021

Life prediction of lithium-ion batteries based on stacked denoising autoencoders.
Reliab. Eng. Syst. Saf., 2021

Prognostics for lithium-ion batteries using a two-phase gamma degradation process model.
Reliab. Eng. Syst. Saf., 2021

Assessing elderly's functional balance and mobility via analyzing data from waist-mounted tri-axial wearable accelerometers in timed up and go tests.
BMC Medical Informatics Decis. Mak., 2021

Evaluating resampling methods and structured features to improve fall incident report identification by the severity level.
J. Am. Medical Informatics Assoc., 2021

Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China.
Inf. Fusion, 2021

Two-stage robust optimisation for surgery scheduling considering surgeon collaboration.
Int. J. Prod. Res., 2021

Multiple-target robust design with multiple functional outputs.
IISE Trans., 2021

Forecasting influenza epidemics in Hong Kong using Google search queries data: A new integrated approach.
Expert Syst. Appl., 2021

PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction.
CoRR, 2021

Automatic Detection of Rail Components via A Deep Convolutional Transformer Network.
CoRR, 2021

Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method.
CoRR, 2021

Viewpoint-Invariant Exercise Repetition Counting.
CoRR, 2021

2020
High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data.
IEEE Trans. Intell. Transp. Syst., 2020

Homecare-Oriented Intelligent Long-Term Monitoring of Blood Pressure Using Electrocardiogram Signals.
IEEE Trans. Ind. Informatics, 2020

Data-Driven Battery Health Prognosis Using Adaptive Brownian Motion Model.
IEEE Trans. Ind. Informatics, 2020

Real-Time Detection of Railway Track Component via One-Stage Deep Learning Networks.
Sensors, 2020

Modeling and Analyzing Modeling and Analyzing Impact Factors of Metro Station Ridership: An Approach Based on a General Estimating Equation Factors Influencing Metro Station Ridership: An Approach based on General Estimating Equation.
IEEE Intell. Transp. Syst. Mag., 2020

A new medical staff allocation via simulation optimisation for an emergency department in Hong Kong.
Int. J. Prod. Res., 2020

Fault diagnosis of electrohydraulic actuator based on multiple source signals: An experimental investigation.
Neurocomputing, 2020

Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion.
Appl. Soft Comput., 2020

Identifying and prioritizing factors affecting in-cabin passenger comfort on high-speed rail in China: A fuzzy-based linguistic approach.
Appl. Soft Comput., 2020

A comprehensive multi-objective mixed integer nonlinear programming model for an integrated elderly care service districting problem.
Ann. Oper. Res., 2020

A Two-Stage Approach for Resource Allocation and Surgery Scheduling With Assistant Surgeons.
IEEE Access, 2020

GC-LSTM: A Deep Spatiotemporal Model for Passenger Flow Forecasting of High-Speed Rail Network.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Forecasting Short-Term Passenger Flow: An Empirical Study on Shenzhen Metro.
IEEE Trans. Intell. Transp. Syst., 2019

Regularized Gaussian Mixture Model for High-Dimensional Clustering.
IEEE Trans. Cybern., 2019

Bayesian and likelihood inferences on remaining useful life in two-phase degradation models under gamma process.
Reliab. Eng. Syst. Saf., 2019

Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals.
BMC Medical Informatics Decis. Mak., 2019

Impact of resources and monitoring effectiveness on prognostics enabled condition based maintenance policy.
J. Simulation, 2019

Fostering linguistic decision-making under uncertainty: A proportional interval type-2 hesitant fuzzy TOPSIS approach based on Hamacher aggregation operators and andness optimization models.
Inf. Sci., 2019

Monitoring data quality for telehealth systems in the presence of missing data.
Int. J. Medical Informatics, 2019

Process monitoring using variational autoencoder for high-dimensional nonlinear processes.
Eng. Appl. Artif. Intell., 2019

Constructing the geometric Bonferroni mean from the generalized Bonferroni mean with several extensions to linguistic 2-tuples for decision-making.
Appl. Soft Comput., 2019

State-of-Charge Estimation of Lithium-Ion Batteries via Long Short-Term Memory Network.
IEEE Access, 2019

Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering.
IEEE Access, 2019

Big Data Opportunities: System Health Monitoring and Management.
IEEE Access, 2019

Combined CNN-LSTM Network for State-of-Charge Estimation of Lithium-Ion Batteries.
IEEE Access, 2019

Convolutional Gated Recurrent Unit-Recurrent Neural Network for State-of-Charge Estimation of Lithium-Ion Batteries.
IEEE Access, 2019

Dynamic Evolution Analysis of Metro Network Connectivity and Bottleneck Identification: From the Perspective of Individual Cognition.
IEEE Access, 2019

A Two-Stage HMM Model for Sleep/Wake Identification via Commercial Wearable Device.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Exploring Hidden In-Hospital Fall Clusters from Incident Reports Using Text Analytics.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018
A Noise Resistant Correlation Method for Period Detection of Noisy Signals.
IEEE Trans. Signal Process., 2018

Customizing Semantics for Individuals With Attitudinal HFLTS Possibility Distributions.
IEEE Trans. Fuzzy Syst., 2018

Design for Sequential Follow-Up Experiments in Computer Emulations.
Technometrics, 2018

Detecting node propensity changes in the dynamic degree corrected stochastic block model.
Soc. Networks, 2018

EEMD-Based Steady-State Indexes and Their Applications to Condition Monitoring and Fault Diagnosis of Railway Axle Bearings.
Sensors, 2018

An integrated machine learning framework for hospital readmission prediction.
Knowl. Based Syst., 2018

Making EEMD more effective in extracting bearing fault features for intelligent bearing fault diagnosis by using blind fault component separation.
J. Intell. Fuzzy Syst., 2018

Two-stage aggregation paradigm for HFLTS possibility distributions: A hierarchical clustering perspective.
Expert Syst. Appl., 2018

Optimal designs for dose-response models with linear effects of covariates.
Comput. Stat. Data Anal., 2018

A universal deep learning approach for modeling the flow of patients under different severities.
Comput. Methods Programs Biomed., 2018

An integrated approach for surgery scheduling under uncertainty.
Comput. Ind. Eng., 2018

A GPU-accelerated parallel Jaya algorithm for efficiently estimating Li-ion battery model parameters.
Appl. Soft Comput., 2018

Personalized Health Monitoring System of Elderly Wellness at the Community Level in Hong Kong.
IEEE Access, 2018

Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators.
IEEE Access, 2018

Individual Semantics Building for HFLTS Possibility Distribution With Applications in Domain-Specific Collaborative Decision Making.
IEEE Access, 2018

An Analysis of Factors Influencing Metro Station Ridership: Insights from Taipei Metro.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Efficiency-Based Mixed Network Design Considering Multi-Typed Traffic Demands.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Quantizing the Health State of Railway Axle Bearing via Signal-to-noise ratio defined by EEMD and SVD.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

Condition monitoring of wheel wear for high-speed trains: A data-driven approach.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017
Statistical Modeling of Bearing Degradation Signals.
IEEE Trans. Reliab., 2017

Simulation Optimization for Medical Staff Configuration at Emergency Department in Hong Kong.
IEEE Trans Autom. Sci. Eng., 2017

Dynamic reliability assessment and prediction for repairable systems with interval-censored data.
Reliab. Eng. Syst. Saf., 2017

Prognostics of Li(NiMnCo)O<sub>2</sub>-based lithium-ion batteries using a novel battery degradation model.
Microelectron. Reliab., 2017

Battery remaining useful life prediction at different discharge rates.
Microelectron. Reliab., 2017

Prognostics of Lithium-ion batteries based on state space modeling with heterogeneous noise variances.
Microelectron. Reliab., 2017

Comparison of algorithms to simulate disease transmission.
J. Simulation, 2017

Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department.
Expert Syst. Appl., 2017

Efficient heterogeneous sampling for stochastic simulation with an illustration in health care applications.
Commun. Stat. Simul. Comput., 2017

Symmetric -charts: Sensitivity to nonnormality and control-limit estimation.
Commun. Stat. Simul. Comput., 2017

An effective greedy method for the Meals-On-Wheels service districting problem.
Comput. Ind. Eng., 2017

Uncovering Hidden Topics in Hong Kong Clinical Research Through Hospital Authority Convention Publications.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Implementation of Electronic Health Monitoring Systems at the Community Level in Hong Kong.
Proceedings of the Smart Health - International Conference, 2017

Forecasting tourist arrivals with machine learning and internet search index.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter.
IEEE Trans. Instrum. Meas., 2016

A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem.
IEEE Trans. Ind. Informatics, 2016

Self-Starting Monitoring Scheme for Poisson Count Data With Varying Population Sizes.
Technometrics, 2016

A Hybrid Approach for Forecasting Patient Visits in Emergency Department.
Qual. Reliab. Eng. Int., 2016

The therapist assignment problem in home healthcare structures.
Expert Syst. Appl., 2016

Genetic based discrete particle swarm optimization for Elderly Day Care Center timetabling.
Comput. Oper. Res., 2016

A discrete-event simulation study for emergency room capacity management in a Hong Kong hospital.
Proceedings of the Winter Simulation Conference, 2016

2015
Accelerated Degradation Analysis for the Quality of a System Based on the Gamma Process.
IEEE Trans. Reliab., 2015

A Bayesian Approach to Condition Monitoring with Imperfect Inspections.
Qual. Reliab. Eng. Int., 2015

System Informatics: From Methodology to Applications.
IEEE Intell. Syst., 2015

A Comparison of Likelihood-Based Spatiotemporal Monitoring Methods Under Non-Homogenous Population Size.
Commun. Stat. Simul. Comput., 2015

School closure strategies for the 2009 Hong Kong H1N1 influenza pandemic.
Proceedings of the 2015 Winter Simulation Conference, 2015

An integrated Bayesian approach to prognositics of the remaining useful life and its application on bearing degradation problem.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

A weighted multi-objective therapist assignment problem in Hong Kong.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015

2014
A Two-Step Parametric Method for Failure Prediction in Hard Disk Drives.
IEEE Trans. Ind. Informatics, 2014

A One-<i>Versus</i>-All Class Binarization Strategy for Bearing Diagnostics of Concurrent Defects.
Sensors, 2014

Statistical Process Control-Based Intrusion Detection and Monitoring.
Qual. Reliab. Eng. Int., 2014

A Spatial-EWMA Framework for Detecting Clustering.
Qual. Reliab. Eng. Int., 2014

Healthcare Intelligence: Turning Data into Knowledge.
IEEE Intell. Syst., 2014

2013
Degradation Data Analysis Using Wiener Processes With Measurement Errors.
IEEE Trans. Reliab., 2013

Online Anomaly Detection for Hard Disk Drives Based on Mahalanobis Distance.
IEEE Trans. Reliab., 2013

Calibration of Stochastic Computer Models Using Stochastic Approximation Methods.
IEEE Trans Autom. Sci. Eng., 2013

CUSUM Procedures for Health Care Surveillance.
Qual. Reliab. Eng. Int., 2013

An ensemble model for predicting the remaining useful performance of lithium-ion batteries.
Microelectron. Reliab., 2013

Tracking Infectious Disease Spread for Global Pandemic Containment.
IEEE Intell. Syst., 2013

2012
Ensemble-approaches for clustering health status of oil sand pumps.
Expert Syst. Appl., 2012

A simple and robust batch-ordering inventory policy under incomplete demand knowledge.
Comput. Ind. Eng., 2012

2011
Recent Research and Developments in Temporal and Spatiotemporal Surveillance for Public Health.
IEEE Trans. Reliab., 2011

Adaptive EWMA procedures for monitoring processes subject to linear drifts.
Comput. Stat. Data Anal., 2011

Prognostics and health monitoring for lithium-ion battery.
Proceedings of the 2011 IEEE International Conference on Intelligence and Security Informatics, 2011

Logistic regression analysis for Predicting Methicillin-resistant Staphylococcus Aureus (MRSA) in-hospital mortality.
Proceedings of the 2011 IEEE International Conference on Intelligence and Security Informatics, 2011

Modeling patient visits to Accident and Emergency Department in Hong Kong.
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011

2010
A comparison of CUSUM, EWMA, and temporal scan statistics for detection of increases in poisson rates.
Qual. Reliab. Eng. Int., 2010

Adjusted support vector machines based on a new loss function.
Ann. Oper. Res., 2010

Simulation of strategies for containing pandemic influenza.
Proceedings of the 2010 Winter Simulation Conference, 2010

2009
Bayesian Validation of Computer Models.
Technometrics, 2009

A finite-sample simulation study of cross validation in tree-based models.
Inf. Technol. Manag., 2009

Linear-mixed effects models for feature selection in high-dimensional NMR spectra.
Expert Syst. Appl., 2009

2008
A distribution-free tabular CUSUM chart for correlated data with automated variance estimation.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

Invited Keynote Talk: Data Mining and Statistical Methods for Analyzing Microarray Experiments.
Proceedings of the Bioinformatics Research and Applications, 2008

2006
FBP: A Frontier-Based Tree-Pruning Algorithm.
INFORMS J. Comput., 2006

Multiple testing in large-scale contingency tables: inferring patterns of pair-wise amino acid association in beta-sheets.
Int. J. Bioinform. Res. Appl., 2006

2003
Response.
Technometrics, 2003

A Review and Analysis of the Mahalanobis - Taguchi System.
Technometrics, 2003

2002
Proportional Integral Derivative Charts for Process Monitoring.
Technometrics, 2002

2000
A New SPC Monitoring Method: The ARMA Chart.
Technometrics, 2000

1999
A review and interpretations of process capability indices.
Ann. Oper. Res., 1999


  Loading...