Image-based process monitoring using low-rank tensor decomposition H Yan, K Paynabar, J Shi IEEE Transactions on Automation Science and Engineering 12 (1), 216-227, 2014 | 155 | 2014 |
Artificial intelligence for the computer-aided detection of periapical lesions in cone-beam computed tomographic images FC Setzer, KJ Shi, Z Zhang, H Yan, H Yoon, M Mupparapu, J Li Journal of endodontics 46 (7), 987-993, 2020 | 153 | 2020 |
Real-time monitoring of high-dimensional functional data streams via spatio-temporal smooth sparse decomposition H Yan, K Paynabar, J Shi Technometrics 60 (2), 181-197, 2018 | 116 | 2018 |
Anomaly detection in images with smooth background via smooth-sparse decomposition H Yan, K Paynabar, J Shi Technometrics 59 (1), 102-114, 2017 | 111 | 2017 |
Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions H Yan, K Liu, X Zhang, J Shi IEEE Transactions on Reliability 65 (9), 1416-1426, 2016 | 105 | 2016 |
Anatomically constrained deep learning for automating dental CBCT segmentation and lesion detection Z Zheng, H Yan, FC Setzer, KJ Shi, M Mupparapu, J Li IEEE Transactions on Automation Science and Engineering 18 (2), 603-614, 2020 | 90 | 2020 |
Multiple tensor-on-tensor regression: An approach for modeling processes with heterogeneous sources of data MR Gahrooei, H Yan, K Paynabar, J Shi Technometrics 63 (2), 147-159, 2021 | 75 | 2021 |
Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach Y Pang, X Zhao, H Yan, Y Liu Transportation Research Part C: Emerging Technologies 130, 103326, 2021 | 64 | 2021 |
Tensor completion for weakly-dependent data on graph for metro passenger flow prediction Z Li, ND Sergin, H Yan, C Zhang, F Tsung proceedings of the AAAI conference on artificial intelligence 34 (04), 4804-4810, 2020 | 58 | 2020 |
Real-time detection of clustered events in video-imaging data with applications to additive manufacturing H Yan, M Grasso, K Paynabar, BM Colosimo IISE Transactions 54 (5), 464-480, 2022 | 55 | 2022 |
Structured point cloud data analysis via regularized tensor regression for process modeling and optimization H Yan, K Paynabar, M Pacella Technometrics, 2019 | 51 | 2019 |
Weakly correlated profile monitoring based on sparse multi-channel functional principal component analysis C Zhang, H Yan, S Lee, J Shi IISE Transactions 50 (10), 878-891, 2018 | 49 | 2018 |
Bayesian spatio-temporal graph transformer network (b-star) for multi-aircraft trajectory prediction Y Pang, X Zhao, J Hu, H Yan, Y Liu Knowledge-Based Systems 249, 108998, 2022 | 46 | 2022 |
Dynamic multivariate functional data modeling via sparse subspace learning C Zhang, H Yan, S Lee, J Shi Technometrics 63 (3), 370-383, 2021 | 37 | 2021 |
Multiple profiles sensor-based monitoring and anomaly detection C Zhang, H Yan, S Lee, J Shi Journal of Quality Technology 50 (4), 344-362, 2018 | 37 | 2018 |
Long-short term spatiotemporal tensor prediction for passenger flow profile Z Li, H Yan, C Zhang, F Tsung IEEE Robotics and Automation Letters 5 (4), 5010-5017, 2020 | 33 | 2020 |
Toward a better monitoring statistic for profile monitoring via variational autoencoders ND Sergin, H Yan Journal of Quality Technology 53 (5), 454-473, 2021 | 29* | 2021 |
Fast wavenumber measurement for accurate and automatic location and quantification of defect in composite O Mesnil, H Yan, M Ruzzene, K Paynabar, J Shi Structural Health Monitoring 15 (2), 223-234, 2016 | 29 | 2016 |
A wavelet-based penalized mixed-effects decomposition for multichannel profile detection of in-line Raman spectroscopy X Yue, H Yan, JG Park, Z Liang, J Shi IEEE Transactions on Automation Science and Engineering 15 (3), 1258-1271, 2017 | 26 | 2017 |
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems H Yan, ND Sergin, WA Brenneman, SJ Lange, S Ba Journal of Quality Technology 53 (5), 526-544, 2021 | 23 | 2021 |