| 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 | 357 | 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 | 161 | 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 | 128 | 2017 |
| 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 | 104 | 2019 |
| 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 | 101 | 2014 |
| 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 | 89 | 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 | 89 | 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 | 70 | 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 | 52 | 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 | 46 | 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 | 41 | 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 | 38 | 2017 |
| 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 | 37 | 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 | 37 | 2011 |
| 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 | 36 | 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 | 34 | 2018 |
| Detect depression from communication: How computer vision, signal processing, and sentiment analysis join forces A Samareh, Y Jin, Z Wang, X Chang, S Huang IISE Transactions on Healthcare Systems Engineering 8 (3), 196-208, 2018 | 31 | 2018 |
| 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 | 30 | 2015 |
| Data-based decision rules to personalize depression follow-up Y Lin, S Huang, GE Simon, S Liu Scientific reports 8 (1), 5064, 2018 | 28 | 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 | 28 | 2012 |
