Shuai Huang - RankMe

59 papers A* 5A 7B 2Misc 1Journal 37Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Efficient Optimal Power Flow Flexibility Assessment: A Machine Learning Approach. ISGT Wengeng Pan, Chaoyue Zhao, Lei Fan, Shuai Huang
2023	J	`jnl`	Sensitivity Analysis of Genome-Scale Metabolic Flux Prediction. J. Comput. Biol. Puhua Niu, Maria J. Soto, Shuai Huang, Byung-Jun Yoon, Edward R. Dougherty, Francis J. Alexander, Ian Blaby, Xiaoning Qian
2022	J	`jnl`	A Learning Framework for Personalized Random Utility Maximization (RUM) Modeling of User Behavior. IEEE Trans Autom. Sci. Eng. Jingshuo Feng, Xi Zhu, Feilong Wang, Shuai Huang, Cynthia Chen
2022	—	`conf`	Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. MLHC Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi
2022	J	`jnl`	Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. CoRR Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak Mortazavi
2022	J	`jnl`	DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness. CoRR Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi
2022	Misc	`conf`	Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. ICASSP Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi
2022	A	`conf`	VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. AISTATS Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
2022	J	`jnl`	VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. CoRR Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian
2022	A*	`conf`	VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. ICML Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian
2021	J	`jnl`	Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors. Stat. Comput. Xuan Dang, Shuai Huang, Xiaoning Qian
2021	—	`conf`	Personalized Learning using Multiple Kernel Models. APSIPA ASC Anthony Kuh, Shuai Huang, Cynthia Chen
2021	J	`jnl`	Privacy-Preserving Cost-Sensitive Learning. IEEE Trans. Neural Networks Learn. Syst. Yi Yang, Shuai Huang, Wei Huang, Xiangyu Chang
2021	J	`jnl`	Risk Factor Identification in Heterogeneous Disease Progression with L1-Regularized Multi-state Models. J. Heal. Informatics Res. Xuan Dang, Shuai Huang, Xiaoning Qian
2021	J	`jnl`	SURVFIT: Doubly sparse rule learning for survival data. J. Biomed. Informatics Ameer Hamza Shakur, Shuai Huang, Xiaoning Qian, Xiangyu Chang
2021	J	`jnl`	Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets. IEEE ACM Trans. Comput. Biol. Bioinform. Tianshu Feng, Jaime I. Dávila, Yuanhang Liu, Sangdi Lin, Shuai Huang, Chen Wang
2021	—	`conf`	Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. BHI Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi
2021	J	`jnl`	Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study. BMC Medical Informatics Decis. Mak. Ying Wu, Shuai Huang, Xiangyu Chang
2020	B	`conf`	GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data. ICPR Ameer Hamza Shakur, Xiaoning Qian, Zhangyang Wang, Bobak Mortazavi, Shuai Huang
2020	A	`conf`	Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. AISTATS Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
2020	J	`jnl`	Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. CoRR Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
2019	J	`jnl`	A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. IEEE Trans. Neural Networks Learn. Syst. Ke Ren, Haichuan Yang, Yu Zhao, Wu Chen, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
2019	A	`conf`	Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. AISTATS Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian
2019	J	`jnl`	Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. CoRR Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian
2019	J	`jnl`	Dynamic Inspection of Latent Variables in State-Space Systems. IEEE Trans Autom. Sci. Eng. Tianshu Feng, Xiaoning Qian, Kaibo Liu, Shuai Huang
2019	J	`jnl`	Early detection and risk assessment for chronic disease with irregular longitudinal data analysis. J. Biomed. Informatics Kai He, Shuai Huang, Xiaoning Qian
2019	J	`jnl`	Multi-stage optimization models for individual consistency and group consensus with preference relations. Eur. J. Oper. Res. Zhibin Wu, Shuai Huang, Jiuping Xu
2019	J	`jnl`	UQ-CHI: An Uncertainty Quantification-Based Contemporaneous Health Index for Degenerative Disease Monitoring. CoRR Aven Samareh, Shuai Huang
2018	J	`jnl`	A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population. IEEE Trans. Reliab. Ying Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shan Liu, Shuai Huang
2018	J	`jnl`	A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. CoRR Ke Ren, Haichuan Yang, Yu Zhao, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu
2018	J	`jnl`	DL-CHI: a dictionary learning-based contemporaneous health index for degenerative disease monitoring. EURASIP J. Adv. Signal Process. Aven Samareh, Shuai Huang
2018	J	`jnl`	Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification. IEEE Trans Autom. Sci. Eng. Cao Xiao, Yan Jin, Ji Liu, Bo Zeng, Shuai Huang
2018	A*	`conf`	Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. AAAI Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang
2018	J	`jnl`	Safe Active Feature Selection for Sparse Learning. CoRR Shaogang Ren, Jianhua Z. Huang, Shuai Huang, Xiaoning Qian
2018	J	`jnl`	Safe Feature Screening for Generalized LASSO. IEEE Trans. Pattern Anal. Mach. Intell. Shaogang Ren, Shuai Huang, Jieping Ye, Xiaoning Qian
2018	J	`jnl`	Switching-State Dynamical Modeling of Daily Behavioral Data. J. Heal. Informatics Res. Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian
2017	J	`jnl`	CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements. J. Biomed. Informatics Yijun Huang, Qiang Meng, Heather L. Evans, William B. Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang
2017	A*	`conf`	Doubly Sparsifying Network. IJCAI Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang
2017	J	`jnl`	Functional Graphical Models for Manufacturing Process Modeling. IEEE Trans Autom. Sci. Eng. Hongyue Sun, Shuai Huang, Ran Jin
2017	J	`jnl`	Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. CoRR Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang
2017	J	`jnl`	Prognostics of surgical site infections using dynamic health data. J. Biomed. Informatics Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang
2017	A	`conf`	Pruning Decision Trees via Max-Heap Projection. SDM Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye
2017	J	`jnl`	Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach. CoRR Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang
2017	B	`conf`	Robust emotion recognition from low quality and low bit rate video: A deep learning approach. ACII Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang
2017	A	`conf`	Transformed Anti-Sparse Hashing. BMVC Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang
2017	J	`jnl`	Unsupervised Sequential Outlier Detection With Deep Architectures. IEEE Trans. Image Process. Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang
2016	J	`jnl`	Heterogeneous multimodal biomarkers analysis for Alzheimer's disease via Bayesian network. EURASIP J. Bioinform. Syst. Biol. Yan Jin, Yi Su, Xiao-Hua Zhou, Shuai Huang
2016	J	`jnl`	Integration of Data Fusion Methodology and Degradation Modeling Process to Improve Prognostics. IEEE Trans Autom. Sci. Eng. Kaibo Liu, Shuai Huang
2016	A*	`conf`	On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. CVPR Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang
2016	J	`jnl`	Prognostics of Surgical Site Infections using Dynamic Health Data. CoRR Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang
2015	A	`conf`	A Scalable Algorithm for Structured Kernel Feature Selection. AISTATS Shaogang Ren, Shuai Huang, John A. Onofrey, Xenios Papademetris, Xiaoning Qian
2015	A	`conf`	Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease. SDM Ying Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shuai Huang
2013	J	`jnl`	A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data. IEEE Trans. Pattern Anal. Mach. Intell. Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman
2012	—	`—`	Novel Statistical Models for Complex Data Structures. Shuai Huang
2011	A*	`conf`	Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. KDD Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman
2011	—	`conf`	Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis. NIPS Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman
2010	J	`jnl`	A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures. IEEE Trans. Reliab. Shuai Huang, Rong Pan, Jing Li
2010	J	`jnl`	Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation. NeuroImage Shuai Huang, Jing Li, Liang Sun, Jieping Ye, Adam Fleisher, Teresa Wu, Kewei Chen, Eric Reiman
2009	—	`conf`	Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data. NIPS Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye