Shuai Huang
Cited by
Cited by
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation
S Huang, J Li, L Sun, J Ye, A Fleisher, T Wu, K Chen, E Reiman, ...
NeuroImage 50 (3), 935-949, 2010
Integration of data fusion methodology and degradation modeling process to improve prognostics
K Liu, S Huang
IEEE Transactions on Automation Science and Engineering 13 (1), 344-354, 2014
Unsupervised sequential outlier detection with deep architectures
W Lu, Y Cheng, C Xiao, S Chang, S Huang, B Liang, T Huang
IEEE transactions on image processing 26 (9), 4321-4330, 2017
Condition monitoring of wind power system with nonparametric regression analysis
N Yampikulsakul, E Byon, S Huang, S Sheng, M You
IEEE Transactions on Energy Conversion 29 (2), 288-299, 2014
Multi-stage optimization models for individual consistency and group consensus with preference relations
Z Wu, S Huang, J Xu
European Journal of Operational Research 275 (1), 182-194, 2019
A sparse structure learning algorithm for Gaussian Bayesian network identification from high-dimensional data
S Huang, J Li, J Ye, A Fleisher, K Chen, T Wu, E Reiman, ...
IEEE transactions on pattern analysis and machine intelligence 35 (6), 1328-1342, 2012
Learning brain connectivity of Alzheimer's disease from neuroimaging data
S Huang, J Li, L Sun, J Liu, T Wu, K Chen, A Fleisher, E Reiman, J Ye
Advances in Neural Information Processing Systems 22, 2009
A prognostic model of surgical site infection using daily clinical wound assessment
PC Sanger, GH van Ramshorst, E Mercan, S Huang, AL Hartzler, ...
Journal of the American College of Surgeons 223 (2), 259-270. e2, 2016
Identifying Alzheimer's disease-related brain regions from multi-modality neuroimaging data using sparse composite linear discrimination analysis
S Huang, J Li, J Ye, T Wu, K Chen, A Fleisher, E Reiman
Advances in neural information processing systems 24, 2011
Prognostics of surgical site infections using dynamic health data
C Ke, Y Jin, H Evans, B Lober, X Qian, J Liu, S Huang
Journal of biomedical informatics 65, 22-33, 2017
A collaborative learning framework for estimating many individualized regression models in a heterogeneous population
Y Lin, K Liu, E Byon, X Qian, S Liu, S Huang
IEEE Transactions on Reliability 67 (1), 328-341, 2017
Direction-dependent power curve modeling for multiple interacting wind turbines
M You, B Liu, E Byon, S Huang, J Jin
IEEE Transactions on power systems 33 (2), 1725-1733, 2017
Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network
S Huang, J Li, J Ye, A Fleisher, K Chen, T Wu, E Reiman
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
Robust emotion recognition from low quality and low bit rate video: A deep learning approach
B Cheng, Z Wang, Z Zhang, Z Li, D Liu, J Yang, S Huang, TS Huang
2017 Seventh International Conference on Affective Computing and Intelligent …, 2017
Identifying cost-effective predictive rules of amyloid-β level by integrating neuropsychological tests and plasma-based markers
M Haghighi, A Smith, D Morgan, B Small, S Huang, ...
Journal of Alzheimer's disease 43 (4), 1261-1270, 2015
High-dimensional process monitoring and change point detection using embedding distributions in reproducing kernel Hilbert space
S Huang, Z Kong, W Huang
IIE Transactions 46 (10), 999-1016, 2014
A robust AUC maximization framework with simultaneous outlier detection and feature selection for positive-unlabeled classification
K Ren, H Yang, Y Zhao, W Chen, M Xue, H Miao, S Huang, J Liu
IEEE transactions on neural networks and learning systems 30 (10), 3072-3083, 2018
Data-based decision rules to personalize depression follow-up
Y Lin, S Huang, GE Simon, S Liu
Scientific reports 8 (1), 5064, 2018
A transfer learning approach for network modeling
S Huang, J Li, K Chen, T Wu, J Ye, X Wu, L Yao
IIE transactions 44 (11), 915-931, 2012
Analysis of depression trajectory patterns using collaborative learning
Y Lin, S Huang, GE Simon, S Liu
Mathematical biosciences 282, 191-203, 2016
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