Shuai Huang

发表

High-dimensional process monitoring and change point detection using embedding distributions in reproducing kernel Hilbert space

Zhenyu Kong, Wenzhen Huang, Z. Kong, 2014 .

Computational Optimization and Statistical Methods for Big Data Analytics: Applications in Neuroimaging

W. Art Chaovalitwongse, Shuai Huang, W. Chaovalitwongse, 2015 .

Probing thyroglobulin in undiluted human serum based on pattern recognition and competitive adsorption of proteins

J. Chae, Shuai Huang, Ran Wang, 2014 .

Novel Statistical Models for Complex Data Structures

Shuai Huang, Shuai Huang, 2012 .

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data

Jing Li, Jieping Ye, Adam Fleisher, 2009, NIPS.

A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data

Jing Li, Jieping Ye, Adam Fleisher, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis

Jing Li, Jieping Ye, Adam Fleisher, 2011, NIPS.

Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation

Jing Li, Jieping Ye, Adam Fleisher, 2010, NeuroImage.

A transfer learning approach for network modeling

Jieping Ye, Li Yao, Xia Wu, 2012, IIE transactions : industrial engineering research & development.

Multiple data sources fusion for enterprise quality improvement by a multilevel latent response model

John W. Fowler, Shuai Huang, Jing Li, 2014 .

Monitoring protein distributions based on patterns generated by protein adsorption behavior in a microfluidic channel.

Seokheun Choi, Junseok Chae, Jing Li, 2011, Lab on a chip.

Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network

Jing Li, Jieping Ye, Adam Fleisher, 2011, KDD.

Regression-based process monitoring with consideration of measurement errors

Jing Li, Shuai Huang, Shuai Huang, 2009 .