Kwok‐Leung Tsui

The University of Texas at Arlington — United States

Decision Sciences · Social Sciences

73h-index23.4kcitations589works9.72yr avg
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Research Topics

Advanced Statistical Process Monitoring(80), Optimal Experimental Design Methods(55), Machine Fault Diagnosis Techniques(53), Fault Detection and Control Systems(51), Advanced Battery Technologies Research(49)

Publications589 total

“The overlooked majority”: Revealing the spatiotemporal travel patterns of low travel frequency passengers and their impact on metro systems
Transport Policy·2025
Optimistic Reinforcement Learning with Quantile Objectives
arXiv (Cornell University)·2025Open Access
MIEF-Net: multimodal image-enhanced fusion network for intelligent fall risk prediction
Neural Networks·2025
A unified threshold-constrained optimization framework for consistent and interpretable cross-machine condition monitoring
Reliability Engineering & System Safety·2025Open Access
Lifeisgood: Learning Invariant Features via In-Label Swapping for Generalizing Out-of-Distribution in Machine Fault Diagnosis
IEEE Transactions on Cybernetics·2025
Comparative Risk of Developing Interstitial Cystitis With Childhood Gastrointestinal, Urological, Autoimmune, or Psychiatric Disorders
Neurourology and Urodynamics·2025· 2 citedOpen Access
Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
arXiv (Cornell University)·2025Open Access
A qualitative study exploring physiotherapists’ insights on the design and development of technology-enhanced gait and balance assessment systems for older adults
Digital Health·2025· 1 citedOpen Access
Domain-adaptive state of health prediction of vehicle batteries powered by deep learning
Cell Reports Physical Science·2025· 4 citedOpen Access
Predicting the risk of ischemic stroke in patients with atrial fibrillation using heterogeneous drug–protein–disease network-based deep learning
APL Bioengineering·2025· 2 citedOpen Access
Extended Invariant Risk Minimization for Machine Fault Diagnosis With Label Noise and Data Shift
IEEE Transactions on Neural Networks and Learning Systems·2025· 6 cited
Interpretable degradation tensor modeling through multi-scale and multi-level time-frequency feature fusion for machine health monitoring
Information Fusion·2025· 15 citedOpen Access
Domain Generalization Study of Empirical Risk Minimization From Causal Perspectives
IEEE Transactions on Multimedia·2025
Sensor-Based Digital Biomarkers for Early Identification of Cognitive Frailty: A Systematic Review
IEEE Journal of Biomedical and Health Informatics·2025
New Look at Bayesian Prognostic Methods
IEEE Transactions on Automation Science and Engineering·2024· 13 cited
Data-driven portfolio management for motion pictures industry: A new data-driven optimization methodology using a large language model as the expert
Computers & Industrial Engineering·2024· 8 cited
In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review
Algorithms·2024· 39 citedOpen Access
Sensor-Based Multifaceted Feature Extraction and Ensemble Elastic Net Approach for Assessing Fall Risk in Community-Dwelling Older Adults
IEEE Journal of Biomedical and Health Informatics·2024· 2 cited
Distance-Aware Risk Minimization for Domain Generalization in Machine Fault Diagnosis
IEEE Internet of Things Journal·2024· 15 cited
Review on Lithium-ion Battery PHM from the Perspective of Key PHM Steps
Chinese Journal of Mechanical Engineering·2024· 12 citedOpen Access
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Frequent Co-authors

Fangfang Yang(12), Dong Wang(10), Yinjiao Xing(6), Michael Pecht(5), Anne C. Shoemaker(4), Changbao Wu(4), Yang Zhao(4), Xiangbao Song(4), Fan Xu(4), Yu Wang(3), Suk Joo Bae(3), Kwai‐Sang Chin(3), Wei Chen(3), Janet K. Allen(2), Vijayan N. Nair(2), Bovas Abraham(2), Jock MacKay(2), J. A. Nelder(2), George E. P. Box(2), M. S. Phadke(2)