Chao SHANG / 尚超

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	3536	2810
h-индекс	26	24
i10-индекс	38	35

620

310

155

465

20142015201620172018201920202021202220232024202513 37 42 106 216 304 426 454 614 564 613 138

Публичен достъп

Преглед на всички

28 статии

36 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Fan YANG (杨帆)Tsinghua UniversityПотвърден имейл адрес: tsinghua.edu.cn
Fengqi YouRoxanne E. and Michael J. Zak Professor, Cornell UniversityПотвърден имейл адрес: cornell.edu
Xiaolin Huang (黄晓霖)Professor, Shanghai Jiao Tong UniversityПотвърден имейл адрес: sjtu.edu.cn
Biao HuangUniversity of Alberta, CanadaПотвърден имейл адрес: ualberta.ca
Wei-Han ChenCornell UniversityПотвърден имейл адрес: cornell.edu
Johan SuykensProfessor, KU LeuvenПотвърден имейл адрес: esat.kuleuven.be
Abraham StroockProfessor of Chemical and Biomolecular Engineering, Cornell UniversityПотвърден имейл адрес: cornell.edu
Ding, Steven X.AKS, University of Duisburg-EssenПотвърден имейл адрес: uni-due.de
Liu TaoProfessor, Dalian University of Technology, ChinaПотвърден имейл адрес: dlut.edu.cn
Michael SantiagoOwner, FloraPulseПотвърден имейл адрес: florapulse.com
Siyu ZhuProcess Engineer at Applied MaterialsПотвърден имейл адрес: cornell.edu
Tao ChenProfessor, University of SurreyПотвърден имейл адрес: surrey.ac.uk
Linlin LiUniversity of duisburg-EssenПотвърден имейл адрес: uni-due.de
Liang ZhaoEeast China University of Science and TechnologyПотвърден имейл адрес: ecust.edu.cn
Keyou You 游科友Professor, Department of Automation, Tsinghua University, Beijing, PR ChinaПотвърден имейл адрес: tsinghua.edu.cn
Eni OkoSenior Lecturer (Associate Professor) in Chemical EngineeringПотвърден имейл адрес: newcastle.ac.uk
Meihong WangProfessor of Energy Systems Engineering, University of SheffieldПотвърден имейл адрес: sheffield.ac.uk
Qingyuan LiuTsinghua UniversityПотвърден имейл адрес: mails.tsinghua.edu.cn
Xiaoyong GAOProfessor, China University of PetroleumПотвърден имейл адрес: cup.edu.cn
David ScottUniversity of AlbertaПотвърден имейл адрес: ualberta.ca

Следене

Chao SHANG / 尚超

Associate Professor of Automation, Tsinghua University

Потвърден имейл адрес: tsinghua.edu.cn

Data-driven control Industrial data analytics Data-driven optimization under Uncertainty


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	599	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	312	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	268	2015
Data-driven robust optimization based on kernel learning C Shang, X Huang, F You Computers & Chemical Engineering 106, 464-479, 2017	227	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	182	2016
Distributionally robust optimization for planning and scheduling under uncertainty C Shang, F You Computers & Chemical Engineering 110, 53-68, 2018	171	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	148	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	138	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	133	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	112	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	104	2019
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	85	2022
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	79	2016
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	78	2014
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	75	2015
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	68	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	59	2016
Distributionally robust fault detection design and assessment for dynamical systems C Shang, SX Ding, H Ye Automatica 125, 109434, 2021	52	2021
Generalized grouped contributions for hierarchical fault diagnosis with group Lasso C Shang, H Ji, X Huang, F Yang, D Huang Control Engineering Practice 93, 104193, 2019	39	2019
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	38	2015

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