| Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations K Zhou, E Diehl, J Tang Mechanical Systems and Signal Processing 185, 109772, 2023 | 53 | 2023 |
| Fault identification using piezoelectric impedance measurement and model-based intelligent inference with pre-screening Q Shuai, K Zhou, S Zhou, J Tang Smart Materials and Structures, 2017 | 43 | 2017 |
| Structural Model Updating Using Adaptive Multi-Response Gaussian Process Meta-modeling K Zhou, J Tang Mechanical Systems and Signal Processing 147, 107121, 2021 | 36 | 2021 |
| Strain gauge placement optimization for structural performance assessment K Zhou, Z Wu Engineering Structures 141 (15), 184-197, 2017 | 36 | 2017 |
| Electropolymerized Molecularly Imprinted Polymer Synthesis Guided by an Integrated Data-Driven Framework for Cortisol Detection G Dykstra, B Reynolds, R Smith, K Zhou, Y Liu ACS Applied Materials & Interfaces, 2022 | 27 | 2022 |
| Harnessing fuzzy neural network for gear fault diagnosis with limited data labels K Zhou, J Tang The International Journal of Advanced Manufacturing Technology, 2021 | 27 | 2021 |
| Uncertainty Quantification in Structural Dynamic Analysis Using Two-Level Gaussian Processes and Bayesian Inference K Zhou, J Tang Journal of Sound and Vibration 412 (6), 95-115, 2017 | 27 | 2017 |
| Harnessing deep learning for physics-informed prediction of composite strength with microstructural uncertainties K Zhou, H Sun, R Enos, D Zhang, J Tang Computational Materials Science 197, 110663, 2021 | 19 | 2021 |
| Uncertainty analysis of curing-induced dimensional variability of composite structures utilizing physics-guided Gaussian process meta-modeling K Zhou, R Enos, D Zhang, J Tang Composite Structures 280, 114816, 2022 | 18 | 2022 |
| Probabilistic bearing fault diagnosis using Gaussian process with tailored feature extraction M Liang, K Zhou The International Journal of Advanced Manufacturing Technology 119 (3), 2059 …, 2022 | 17 | 2022 |
| Design Optimization Towards Alleviating Forced Response Variation in Cyclically Periodic Structure Using Gaussian Process K Zhou, A Hegde, P Cao, J Tang Journal of Vibration and Acoustics, 2016 | 17 | 2016 |
| Early-stage gas identification using convolutional long short-term neural network with sensor array time series data K Zhou, Y Liu Sensors 21 (14), 4826, 2021 | 16 | 2021 |
| Generic Framework of Sensor Placement Optimization for Structural Health Modeling K Zhou, Z Wu, etc. Journal of Computing in Civil Engineering, 2017 | 16 | 2017 |
| Uncertainty Quantification of Mode Shape Variation Utilizing Multi-Level Multi-Response Gaussian Process K Zhou, J Tang Journal of Vibration and Acoustics 143 (1), 011003, 2021 | 15 | 2021 |
| Highly efficient probabilistic finite element model updating using intelligent inference with incomplete modal information K Zhou, J Tang Journal of Vibration and Acoustics 138 (5), 051016, 2016 | 15 | 2016 |
| A reinforcement learning hyper-heuristic in multi-objective optimization with application to structural damage identification P Cao, Y Zhang, K Zhou, J Tang Structural and Multidisciplinary Optimization 66 (1), 16, 2023 | 14 | 2023 |
| Efficient characterization of dynamic response variation using multi-fidelity data fusion through composite neural network K Zhou, J Tang Engineering Structures 232, 111878, 2021 | 14 | 2021 |
| Development of sensor placement optimization tool and application to large‑span cable‑stayed bridge Z Wu, K Zhou, HW Shenton, MJ Chajes Journal of Civil Structural Health Monitoring, 2018 | 14 | 2018 |
| Using Bayesian Inference Framework towards Identifying Gas Species and Concentration from High Temperature Resistive Sensor Array Data Y Liu, K Zhou, Y Lei Journal of Sensors, 2015 | 14 | 2015 |
| Reducing Dynamic Response Variation Using NURBS Finite Element Based Geometry Perturbation K Zhou, J Tang Journal of Vibration and Acoustics, 2015 | 13 | 2015 |
Jiong TangPratt & Whitney Professor in Mechanical Engineering, University of ConnecticutE-mail confirmado em uconn.edu
