| Data-driven soft sensor development based on deep learning technique C Shang, F Yang, D Huang, W Lyu Journal of Process Control 24 (3), 223-233, 2014 | 550 | 2014 |
| Data analytics and machine learning for smart process manufacturing: Recent advances and perspectives in the big data era C Shang, F You Engineering 5 (6), 1010-1016, 2019 | 278 | 2019 |
| Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis C Shang, F Yang, X Gao, X Huang, JAK Suykens, D Huang AIChE Journal, 2015 | 247 | 2015 |
| Data-driven robust optimization based on kernel learning C Shang, X Huang, F You Computers & Chemical Engineering 106, 464-479, 2017 | 193 | 2017 |
| Slow feature analysis for monitoring and diagnosis of control performance C Shang, B Huang, F Yang, D Huang Journal of Process Control 39, 21-34, 2016 | 162 | 2016 |
| Distributionally robust optimization for planning and scheduling under uncertainty C Shang, F You Computers & Chemical Engineering 110, 53-68, 2018 | 155 | 2018 |
| Probabilistic slow feature analysis‐based representation learning from massive process data for soft sensor modeling C Shang, B Huang, F Yang, D Huang AIChE Journal 61 (12), 4126-4139, 2015 | 136 | 2015 |
| A data-driven robust optimization approach to scenario-based stochastic model predictive control C Shang, F You Journal of Process Control 75, 24-39, 2019 | 126 | 2019 |
| Recursive slow feature analysis for adaptive monitoring of industrial processes C Shang, F Yang, B Huang, D Huang IEEE Transactions on Industrial Electronics 65 (11), 8895-8905, 2018 | 120 | 2018 |
| Dynamic soft sensor development based on convolutional neural networks K Wang, C Shang, L Liu, Y Jiang, D Huang, F Yang Industrial & Engineering Chemistry Research 58 (26), 11521-11531, 2019 | 91 | 2019 |
| Robust model predictive control of irrigation systems with active uncertainty learning and data analytics C Shang, WH Chen, AD Stroock, F You IEEE Transactions on Control Systems Technology 28 (4), 1493-1504, 2019 | 90 | 2019 |
| Novel Bayesian framework for dynamic soft sensor based on support vector machine with finite impulse response C Shang, X Gao, F Yang, D Huang IEEE Transactions on Control Systems Technology 22 (4), 1550-1557, 2014 | 73 | 2014 |
| Monitoring of operating point and process dynamics via probabilistic slow feature analysis F Guo, C Shang, B Huang, K Wang, F Yang, D Huang Chemometrics and Intelligent Laboratory Systems 151, 115-125, 2016 | 72 | 2016 |
| Enhancing dynamic soft sensors based on DPLS: A temporal smoothness regularization approach C Shang, X Huang, JAK Suykens, D Huang Journal of Process Control 28, 17-26, 2015 | 72 | 2015 |
| Fault detection for nonlinear dynamic systems with consideration of modeling errors: A data-driven approach H Chen, L Li, C Shang, B Huang IEEE Transactions on Cybernetics 53 (7), 4259-4269, 2022 | 63 | 2022 |
| Modelling of a post-combustion CO2 capture process using deep belief network F Li, J Zhang, C Shang, D Huang, E Oko, M Wang Applied Thermal Engineering 130, 997-1003, 2018 | 62 | 2018 |
| A review of control loop monitoring and diagnosis: Prospects of controller maintenance in big data era X Gao, F Yang, C Shang, D Huang Chinese Journal of Chemical Engineering 24 (8), 952-962, 2016 | 53 | 2016 |
| Distributionally robust fault detection design and assessment for dynamical systems C Shang, SX Ding, H Ye Automatica 125, 109434, 2021 | 49 | 2021 |
| Refinery scheduling with varying crude: A deep belief network classification and multimodel approach X Gao, C Shang, Y Jiang, D Huang, T Chen AIChE Journal 60 (7), 2525-2532, 2014 | 38 | 2014 |
| Extracting latent dynamics from process data for quality prediction and performance assessment via slow feature regression C Shang, F Yang, X Gao, D Huang 2015 American Control Conference (ACC), 912-917, 2015 | 37 | 2015 |
Fan YANG (杨帆)Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
