Ye Yuan
Cited by
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An interpretable mortality prediction model for COVID-19 patients
L Yan, HT Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ...
Nature machine intelligence 2 (5), 283-288, 2020
A survey of distributed optimization
T Yang, X Yi, J Wu, Y Yuan, D Wu, Z Meng, Y Hong, H Wang, Z Lin, ...
Annual Reviews in Control 47, 278-305, 2019
Prediction of criticality in patients with severe Covid-19 infection using three clinical features: a machine learning-based prognostic model with clinical data in Wuhan
L Yan, HT Zhang, Y Xiao, M Wang, C Sun, J Liang, S Li, M Zhang, Y Guo, ...
MedRxiv 27, 2020, 2020
EARLY FLOWERING4 Recruitment of EARLY FLOWERING3 in the Nucleus Sustains the Arabidopsis Circadian Clock
E Herrero, E Kolmos, N Bujdoso, Y Yuan, M Wang, MC Berns, H Uhlworm, ...
The Plant Cell Online, 2012
Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network
G Ma, Y Zhang, C Cheng, B Zhou, P Hu, Y Yuan
Applied Energy 253, 113626, 2019
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data
C Cheng, B Zhou, G Ma, D Wu, Y Yuan
Neurocomputing 409, 35-45, 2020
A machine learning-based model for survival prediction in patients with severe COVID-19 infection
L Yan, HT Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ...
MedRxiv, 2020
Data driven discovery of cyber physical systems
Y Yuan, X Tang, W Zhou, W Pan, X Li, HT Zhang, H Ding, J Goncalves
Nature communications 10 (1), 4894, 2019
Robust dynamical network structure reconstruction
Y Yuan, GB Stan, S Warnick, J Goncalves
Automatica 47 (6), 1230-1235, 2011
Decentralised minimum-time consensus
Y Yuan, GB Stan, L Shi, M Barahona, J Goncalves
Automatica 49 (5), 1227-1235, 2013
A deep learning-based remaining useful life prediction approach for bearings
C Cheng, G Ma, Y Zhang, M Sun, F Teng, H Ding, Y Yuan
IEEE/ASME Transactions on Mechatronics, 2020
A sparse Bayesian approach to the identification of nonlinear state-space systems
W Pan, Y Yuan, J Gonçalves, GB Stan
IEEE Transactions on Automatic Control 61 (1), 182-187, 2016
Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study
H Zhu, C Cheng, H Yin, X Li, P Zuo, J Ding, F Lin, J Wang, B Zhou, Y Li, ...
The Lancet Digital Health, 2020
A general end-to-end diagnosis framework for manufacturing systems
Y Yuan, G Ma, C Cheng, B Zhou, H Zhao, HT Zhang, H Ding
National Science Review 7 (2), 418-429, 2020
On identification of distribution grids
O Ardakanian, VWS Wong, R Dobbe, SH Low, A von Meier, CJ Tomlin, ...
IEEE Transactions on Control of Network Systems 6 (3), 950-960, 2019
Shaping high-power IGBT switching transitions by active voltage control for reduced EMI generation
X Yang, Y Yuan, X Zhang, PR Palmer
IEEE Transactions on Industry Applications 51 (2), 1669-1677, 2014
Distributed finite-time average consensus in digraphs in the presence of time delays
T Charalambous, Y Yuan, T Yang, W Pan, CN Hadjicostis, M Johansson
IEEE Transactions on Control of Network Systems 2 (4), 370-381, 2015
State of AI-based monitoring in smart manufacturing and introduction to focused section
H Ding, RX Gao, AJ Isaksson, RG Landers, T Parisini, Y Yuan
IEEE/ASME Transactions on Mechatronics 25 (5), 2143-2154, 2020
Link prediction via linear optimization
R Pech, D Hao, YL Lee, Y Yuan, T Zhou
Physica A: Statistical Mechanics and its Applications 528, 121319, 2019
Bayesian learning-based model-predictive vibration control for thin-walled workpiece machining processes
Y Yuan, HT Zhang, Y Wu, T Zhu, H Ding
IEEE/ASME transactions on mechatronics 22 (1), 509-520, 2016
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