Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data. - Shuai Huang 001; Jing Li 016; Liang Sun 001; Jun Liu 003; Teresa Wu; Kewei Chen 001; Adam Fleisher; Eric Reiman; Jieping Ye (NIPS, 2009)

Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation. - Shuai Huang 001; Jing Li 016; Liang Sun 001; Jieping Ye; Adam Fleisher; Teresa Wu; Kewei Chen 001; Eric Reiman (NeuroImage, 2010)

A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures. - Shuai Huang 001; Rong Pan; Jing Li 016 (IEEE Trans. Reliab., 2010)

Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. - Shuai Huang 001; Jing Li 016; Jieping Ye; Adam Fleisher; Kewei Chen 001; Teresa Wu; Eric Reiman (KDD, 2011)

Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis. - Shuai Huang 001; Jing Li 016; Jieping Ye; Teresa Wu; Kewei Chen 001; Adam Fleisher; Eric Reiman (NIPS, 2011)

Novel Statistical Models for Complex Data Structures. - Shuai Huang 001 (2012)

A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data. - Shuai Huang 001; Jing Li 016; Jieping Ye; Adam Fleisher; Kewei Chen 001; Teresa Wu; Eric Reiman (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A Scalable Algorithm for Structured Kernel Feature Selection. - Shaogang Ren; Shuai Huang 001; John A. Onofrey; Xenios Papademetris; Xiaoning Qian (AISTATS, 2015)

Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease. - Ying Lin; Kaibo Liu; Eunshin Byon; Xiaoning Qian; Shuai Huang 001 (SDM, 2015)

On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. - Haichuan Yang; Yijun Huang; Lam Tran; Ji Liu 002; Shuai Huang 001 (CVPR, 2016)

Heterogeneous multimodal biomarkers analysis for Alzheimer's disease via Bayesian network. - Yan Jin; Yi Su; Xiao-Hua Zhou; Shuai Huang 001 (EURASIP J. Bioinform. Syst. Biol., 2016)

Integration of Data Fusion Methodology and Degradation Modeling Process to Improve Prognostics. - Kaibo Liu; Shuai Huang 001 (IEEE Trans Autom. Sci. Eng., 2016)

Robust emotion recognition from low quality and low bit rate video: A deep learning approach. - Bowen Cheng; Zhangyang Wang; Zhaobin Zhang; Zhu Li 001; Ding Liu 001; Jianchao Yang; Shuai Huang 001; Thomas S. Huang (ACII, 2017)

Transformed Anti-Sparse Hashing. - Zhangyang Wang; Ji Liu 002; Shuai Huang 001; Xinchao Wang; Shiyu Chang (BMVC, 2017)

Doubly Sparsifying Network. - Zhangyang Wang; Shuai Huang 001; Jiayu Zhou; Thomas S. Huang (IJCAI, 2017)

Pruning Decision Trees via Max-Heap Projection. - Zhi Nie; Binbin Lin; Shuai Huang 001; Naren Ramakrishnan; Wei Fan; Jieping Ye (SDM, 2017)

CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements. - Yijun Huang; Qiang Meng; Heather L. Evans; William B. Lober; Yu Cheng 001; Xiaoning Qian; Ji Liu 002; Shuai Huang 001 (J. Biomed. Informatics, 2017)

Prognostics of surgical site infections using dynamic health data. - Chuyang Ke; Yan Jin; Heather L. Evans; Bill Lober; Xiaoning Qian; Ji Liu 002; Shuai Huang 001 (J. Biomed. Informatics, 2017)

Functional Graphical Models for Manufacturing Process Modeling. - Hongyue Sun; Shuai Huang 001; Ran Jin (IEEE Trans Autom. Sci. Eng., 2017)

Unsupervised Sequential Outlier Detection With Deep Architectures. - Weining Lu; Yu Cheng 001; Cao Xiao; Shiyu Chang; Shuai Huang 001; Bin Liang 001; Thomas S. Huang (IEEE Trans. Image Process., 2017)

Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. - Aven Samareh; Yan Jin; Zhangyang Wang; Xiangyu Chang; Shuai Huang 001 (AAAI, 2018)

A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. - Ke Ren; Haichuan Yang; Yu Zhao 019; Mingshan Xue; Hongyu Miao 001; Shuai Huang 001; Ji Liu 002 (CoRR, 2018)

Safe Active Feature Selection for Sparse Learning. - Shaogang Ren; Jianhua Z. Huang; Shuai Huang 001; Xiaoning Qian (CoRR, 2018)

DL-CHI: a dictionary learning-based contemporaneous health index for degenerative disease monitoring. - Aven Samareh; Shuai Huang 001 (EURASIP J. Adv. Signal Process., 2018)

Switching-State Dynamical Modeling of Daily Behavioral Data. - Randy Ardywibowo; Shuai Huang 001; Shupeng Gui; Cao Xiao; Yu Cheng 001; Ji Liu 002; Xiaoning Qian (J. Heal. Informatics Res., 2018)

Safe Feature Screening for Generalized LASSO. - Shaogang Ren; Shuai Huang 001; Jieping Ye; Xiaoning Qian (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification. - Cao Xiao; Yan Jin; Ji Liu 002; Bo Zeng 001; Shuai Huang 001 (IEEE Trans Autom. Sci. Eng., 2018)

A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population. - Ying Lin; Kaibo Liu; Eunshin Byon; Xiaoning Qian; Shan Liu; Shuai Huang 001 (IEEE Trans. Reliab., 2018)

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. - Randy Ardywibowo; Guang Zhao; Zhangyang Wang; Bobak Mortazavi; Shuai Huang 001; Xiaoning Qian (AISTATS, 2019)

UQ-CHI: An Uncertainty Quantification-Based Contemporaneous Health Index for Degenerative Disease Monitoring. - Aven Samareh; Shuai Huang 001 (CoRR, 2019)

Multi-stage optimization models for individual consistency and group consensus with preference relations. - Zhibin Wu; Shuai Huang 001; Jiuping Xu (Eur. J. Oper. Res., 2019)

Early detection and risk assessment for chronic disease with irregular longitudinal data analysis. - Kai He; Shuai Huang 001; Xiaoning Qian (J. Biomed. Informatics, 2019)

Dynamic Inspection of Latent Variables in State-Space Systems. - Tianshu Feng; Xiaoning Qian; Kaibo Liu; Shuai Huang 001 (IEEE Trans Autom. Sci. Eng., 2019)

A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. - Ke Ren; Haichuan Yang; Yu Zhao 019; Wu Chen; Mingshan Xue; Hongyu Miao 001; Shuai Huang 001; Ji Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. - Zepeng Huo; Arash Pakbin; Xiaohan Chen; Nathan C. Hurley; Ye Yuan 012; Xiaoning Qian; Zhangyang Wang; Shuai Huang 001; Bobak Mortazavi (AISTATS, 2020)

GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data. - Ameer Hamza Shakur; Xiaoning Qian; Zhangyang Wang; Bobak Mortazavi; Shuai Huang 001 (ICPR, 2020)

Personalized Learning using Multiple Kernel Models. - Anthony Kuh; Shuai Huang 001; Cynthia Chen (APSIPA ASC, 2021)

Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. - Zepeng Huo; Lida Zhang; Rohan Khera; Shuai Huang 001; Xiaoning Qian; Zhangyang Wang; Bobak J. Mortazavi (BHI, 2021)

SURVFIT: Doubly sparse rule learning for survival data. - Ameer Hamza Shakur; Shuai Huang 001; Xiaoning Qian; Xiangyu Chang (J. Biomed. Informatics, 2021)

Risk Factor Identification in Heterogeneous Disease Progression with L1-Regularized Multi-state Models. - Xuan Dang; Shuai Huang 001; Xiaoning Qian (J. Heal. Informatics Res., 2021)

Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study. - Ying Wu; Shuai Huang 001; Xiangyu Chang (BMC Medical Informatics Decis. Mak., 2021)

Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors. - Xuan Dang; Shuai Huang 001; Xiaoning Qian (Stat. Comput., 2021)

Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets. - Tianshu Feng; Jaime I. Dávila; Yuanhang Liu; Sangdi Lin; Shuai Huang 001; Chen Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Privacy-Preserving Cost-Sensitive Learning. - Yi Yang 098; Shuai Huang 001; Wei Huang 031; Xiangyu Chang (IEEE Trans. Neural Networks Learn. Syst., 2021)

VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. - Randy Ardywibowo; Shahin Boluki; Zhangyang Wang; Bobak J. Mortazavi; Shuai Huang 001; Xiaoning Qian (AISTATS, 2022)

Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. - Zepeng Huo; Taowei Ji; Yifei Liang; Shuai Huang 001; Zhangyang Wang; Xiaoning Qian; Bobak Mortazavi (ICASSP, 2022)

VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. - Randy Ardywibowo; Zepeng Huo; Zhangyang Wang; Bobak J. Mortazavi; Shuai Huang 001; Xiaoning Qian (ICML, 2022)

Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. - Zepeng Huo; Xiaoning Qian; Shuai Huang 001; Zhangyang Wang; Bobak J. Mortazavi (MLHC, 2022)

A Learning Framework for Personalized Random Utility Maximization (RUM) Modeling of User Behavior. - Jingshuo Feng; Xi Zhu; Feilong Wang; Shuai Huang 001; Cynthia Chen (IEEE Trans Autom. Sci. Eng., 2022)

Efficient Optimal Power Flow Flexibility Assessment: A Machine Learning Approach. - Wengeng Pan; Chaoyue Zhao; Lei Fan 006; Shuai Huang 001 (ISGT, 2023)

Sensitivity Analysis of Genome-Scale Metabolic Flux Prediction. - Puhua Niu; Maria J. Soto; Shuai Huang 001; Byung-Jun Yoon; Edward R. Dougherty; Francis J. Alexander; Ian Blaby; Xiaoning Qian (J. Comput. Biol., 2023)