| Multiple-model state estimation based on variational Bayesian inference Y Ma, S Zhao, B Huang IEEE Transactions on Automatic Control 64 (4), 1679-1685, 2018 | 72 | 2018 |
| Bayesian learning for dynamic feature extraction with application in soft sensing Y Ma, B Huang IEEE Transactions on Industrial Electronics 64 (9), 7171-7180, 2017 | 63 | 2017 |
| Probabilistic monitoring of sensors in state-space with variational Bayesian inference S Zhao, Y Ma, B Huang IEEE Transactions on Industrial Electronics 66 (3), 2154-2163, 2018 | 33 | 2018 |
| Extracting dynamic features with switching models for process data analytics and application in soft sensing Y Ma, B Huang AIChE Journal 64 (6), 2037-2051, 2018 | 24 | 2018 |
| Sensor fault estimation in a probabilistic framework for industrial processes and its applications C Xu, S Zhao, Y Ma, B Huang, F Liu, X Luan IEEE Transactions on Industrial Informatics 18 (1), 387-396, 2021 | 22 | 2021 |
| Robust FIR state estimation of dynamic processes corrupted by outliers S Zhao, Y Ma, B Huang IEEE Transactions on Industrial Informatics 15 (1), 139-147, 2018 | 21 | 2018 |
| Extracting nonstationary features for process data analytics and application in fouling detection S Kwak, Y Ma, B Huang Computers & Chemical Engineering 135, 106762, 2020 | 17 | 2020 |
| Robust filter design for asymmetric measurement noise using variational Bayesian inference C Xu, S Zhao, Y Ma, B Huang, F Liu IET Control Theory & Applications 13 (11), 1656-1664, 2019 | 13 | 2019 |
| Sparse inverse covariance estimation for causal inference in process data analytics AS Sundaramoorthy, SK Varanasi, B Huang, Y Ma, H Zhang, D Wang IEEE Transactions on Control Systems Technology 30 (3), 1268-1280, 2021 | 11 | 2021 |
| Feature extraction of constrained dynamic latent variables Y Ma, S Zhao, B Huang IEEE Transactions on Industrial Informatics 15 (10), 5637-5645, 2019 | 11 | 2019 |
| A variational Bayesian approach to modelling with random time-varying time delays Y Ma, S Kwak, L Fan, B Huang 2018 Annual American Control Conference (ACC), 5914-5919, 2018 | 8 | 2018 |
| Latent subspace clustering based on deep neural networks Y Ma, C Shang, F Yang, D Huang 6th International Symposium on Advanced Control of Industrial Processes, 502-507, 2014 | 7 | 2014 |
| Systems and methods for real-time steam quality estimation B Huang, Y Ma, S Kwak US Patent 11,512,848, 2022 | 2 | 2022 |
| Extracting Dynamic Latent Feature with Bayesian Approaches for Process Data Analysis Y Ma | | 2019 |
Biao HuangUniversity of Alberta, CanadaVerified email at ualberta.ca
