I recieved my Ph.D degree in Computer Science from Arizona State University in 2014. I am fortunate enough to have worked with Dr. Jieping Ye and Dr. Peter Wonka. I joined Alibaba Group on Jan. 2015.
Graduate Research Asscoiate
Summer Research Intern
Arizona State University
Institute of Automation, Chinese Academy of Science
Xi'an Jiaotong University
B. Haddad, S. Yang, L. Karam, J. Ye, N. Patel, M. Braun, Multi-Feature, Sparse-Based Approach for Defects Detection and Classification in Semiconductor Units, IEEE Transactions on Automation Science and Engineering, to appear, 2016 [PDF]
S. Yang, Z. Lu, X. Shen, P. Wonka, J. Ye, Fused Multiple Graphical Lasso, SIAM Journal on Optimization, 25(2), 916–943, 2015 [PDF] [Code]
S. Yang, Q. Sun, S. Ji, P. Wonka, I. Davidson, J. Ye, Structural Graphical Lasso for Learning Mouse Brain Connectivity, SIGKDD, 2015 [PDF]
J. Wang, Q. Li, S. Yang, W. Fan, P. Wonka, J. Ye, A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models, ICML, 2014 [PDF][Code]
S. Yang, J. Wang, W. Fan, X. Zhang, P. Wonka, J. Ye, An Efficient ADMM Algorithm for Multidimensional Anisotropic Total Variation Regularization Problems, SIGKDD, 2013 [PDF] [Code]
C.Y. Wee, S. Yang, P.T. Yap, D. Shen, Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification, Machine Learning in Medical Imaging, 2013
S. Yang, L. Yuan, Y.-C. Lai, X. Shen, P. Wonka, J. Ye, Feature Grouping and Selection Over an Undirected Graph, SIGKDD, 2012 [PDF] [Code]
B. Lin, S. Yang, C. Zhang, J. Ye, X. He, Multi-task Vector Field Learning, NIPS, 2012 [PDF]
S. Yang, F.-C. Wu, Weighted Linear Methods for the Camera Pose Estimation, Journal of Software, 2011
This package includes fast implementations for Multiple Graphical Lasso.