default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShuai Huang 0001
Person information
- affiliation: University of Washington, Department of Industry & Systems Engineering, Seattle, WA, USA
- affiliation (PhD 2012): Arizona State University, Tempe, AZ, USA
Other persons with the same name
- Shuai Huang — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[j26]Puhua Niu
, Maria J. Soto, Shuai Huang, Byung-Jun Yoon, Edward R. Dougherty, Francis J. Alexander, Ian Blaby, Xiaoning Qian:
Sensitivity Analysis of Genome-Scale Metabolic Flux Prediction. J. Comput. Biol. 30(7): 751-765 (2023)- [c21]Wengeng Pan, Chaoyue Zhao, Lei Fan, Shuai Huang:
Efficient Optimal Power Flow Flexibility Assessment: A Machine Learning Approach. ISGT 2023: 1-5 - 2022
- [j25]Jingshuo Feng, Xi Zhu, Feilong Wang, Shuai Huang, Cynthia Chen:
A Learning Framework for Personalized Random Utility Maximization (RUM) Modeling of User Behavior. IEEE Trans Autom. Sci. Eng. 19(1): 510-521 (2022) - [c20]Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian:
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. AISTATS 2022: 1359-1379 - [c19]Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi:
Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. ICASSP 2022: 3988-3992 - [c18]Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian:
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. ICML 2022: 865-877 - [c17]Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak J. Mortazavi:
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. MLHC 2022: 101-122 - [i11]Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. CoRR abs/2204.00130 (2022) - [i10]Zepeng Huo, Xiaoning Qian, Shuai Huang, Zhangyang Wang, Bobak Mortazavi:
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. CoRR abs/2207.11382 (2022) - [i9]Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi:
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness. CoRR abs/2209.15415 (2022) - 2021
- [j24]Ameer Hamza Shakur, Shuai Huang, Xiaoning Qian, Xiangyu Chang:
SURVFIT: Doubly sparse rule learning for survival data. J. Biomed. Informatics 117: 103691 (2021) - [j23]Xuan Dang, Shuai Huang, Xiaoning Qian:
Risk Factor Identification in Heterogeneous Disease Progression with L1-Regularized Multi-state Models. J. Heal. Informatics Res. 5(1): 20-53 (2021) - [j22]Ying Wu, Shuai Huang, Xiangyu Chang:
Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study. BMC Medical Informatics Decis. Mak. 21(1): 334 (2021) - [j21]Xuan Dang, Shuai Huang, Xiaoning Qian:
Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors. Stat. Comput. 31(6): 77 (2021) - [j20]Tianshu Feng, Jaime I. Dávila, Yuanhang Liu, Sangdi Lin, Shuai Huang, Chen Wang:
Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1620-1631 (2021) - [j19]Yi Yang, Shuai Huang, Wei Huang, Xiangyu Chang:
Privacy-Preserving Cost-Sensitive Learning. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2105-2116 (2021) - [c16]Anthony Kuh, Shuai Huang, Cynthia Chen:
Personalized Learning using Multiple Kernel Models. APSIPA ASC 2021: 2085-2088 - [c15]Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi:
Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. BHI 2021: 1-4 - 2020
- [c14]Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. AISTATS 2020: 3894-3904 - [c13]Ameer Hamza Shakur, Xiaoning Qian, Zhangyang Wang, Bobak Mortazavi, Shuai Huang:
GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data. ICPR 2020: 10608-10615 - [i8]Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi:
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. CoRR abs/2003.01753 (2020)
2010 – 2019
- 2019
- [j18]Zhibin Wu, Shuai Huang, Jiuping Xu:
Multi-stage optimization models for individual consistency and group consensus with preference relations. Eur. J. Oper. Res. 275(1): 182-194 (2019) - [j17]Kai He, Shuai Huang, Xiaoning Qian:
Early detection and risk assessment for chronic disease with irregular longitudinal data analysis. J. Biomed. Informatics 96 (2019) - [j16]Tianshu Feng, Xiaoning Qian, Kaibo Liu, Shuai Huang:
Dynamic Inspection of Latent Variables in State-Space Systems. IEEE Trans Autom. Sci. Eng. 16(3): 1232-1243 (2019) - [j15]Ke Ren, Haichuan Yang, Yu Zhao, Wu Chen, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu:
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3072-3083 (2019) - [c12]Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. AISTATS 2019: 266-275 - [i7]Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. CoRR abs/1901.02427 (2019) - [i6]Aven Samareh, Shuai Huang:
UQ-CHI: An Uncertainty Quantification-Based Contemporaneous Health Index for Degenerative Disease Monitoring. CoRR abs/1902.08246 (2019) - 2018
- [j14]Aven Samareh, Shuai Huang:
DL-CHI: a dictionary learning-based contemporaneous health index for degenerative disease monitoring. EURASIP J. Adv. Signal Process. 2018: 17 (2018) - [j13]Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian:
Switching-State Dynamical Modeling of Daily Behavioral Data. J. Heal. Informatics Res. 2(3): 228-247 (2018) - [j12]Shaogang Ren, Shuai Huang, Jieping Ye, Xiaoning Qian:
Safe Feature Screening for Generalized LASSO. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2992-3006 (2018) - [j11]Cao Xiao, Yan Jin, Ji Liu, Bo Zeng, Shuai Huang:
Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification. IEEE Trans Autom. Sci. Eng. 15(3): 1163-1177 (2018) - [j10]Ying Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shan Liu, Shuai Huang:
A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population. IEEE Trans. Reliab. 67(1): 328-341 (2018) - [c11]Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang:
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. AAAI 2018: 8147-8148 - [i5]Ke Ren, Haichuan Yang, Yu Zhao, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu:
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. CoRR abs/1803.06604 (2018) - [i4]Shaogang Ren, Jianhua Z. Huang, Shuai Huang, Xiaoning Qian:
Safe Active Feature Selection for Sparse Learning. CoRR abs/1806.05817 (2018) - 2017
- [j9]Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang:
Prognostics of surgical site infections using dynamic health data. J. Biomed. Informatics 65: 22-33 (2017) - [j8]Yijun Huang, Qiang Meng, Heather L. Evans, William B. Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang:
CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements. J. Biomed. Informatics 73: 115-124 (2017) - [j7]Hongyue Sun, Shuai Huang, Ran Jin:
Functional Graphical Models for Manufacturing Process Modeling. IEEE Trans Autom. Sci. Eng. 14(4): 1612-1621 (2017) - [j6]Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang:
Unsupervised Sequential Outlier Detection With Deep Architectures. IEEE Trans. Image Process. 26(9): 4321-4330 (2017) - [c10]Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang:
Robust emotion recognition from low quality and low bit rate video: A deep learning approach. ACII 2017: 65-70 - [c9]Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang:
Transformed Anti-Sparse Hashing. BMVC 2017 - [c8]Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang:
Doubly Sparsifying Network. IJCAI 2017: 3020-3026 - [c7]Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye:
Pruning Decision Trees via Max-Heap Projection. SDM 2017: 10-18 - [i3]Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang:
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach. CoRR abs/1709.03126 (2017) - [i2]Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang:
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. CoRR abs/1711.11155 (2017) - 2016
- [j5]Yan Jin, Yi Su, Xiao-Hua Zhou, Shuai Huang:
Heterogeneous multimodal biomarkers analysis for Alzheimer's disease via Bayesian network. EURASIP J. Bioinform. Syst. Biol. 2016: 12 (2016) - [j4]Kaibo Liu, Shuai Huang:
Integration of Data Fusion Methodology and Degradation Modeling Process to Improve Prognostics. IEEE Trans Autom. Sci. Eng. 13(1): 344-354 (2016) - [c6]Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang:
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. CVPR 2016: 5945-5954 - [i1]Chuyang Ke, Yan Jin, Heather L. Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang:
Prognostics of Surgical Site Infections using Dynamic Health Data. CoRR abs/1611.04049 (2016) - 2015
- [c5]Shaogang Ren, Shuai Huang, John A. Onofrey, Xenios Papademetris, Xiaoning Qian:
A Scalable Algorithm for Structured Kernel Feature Selection. AISTATS 2015 - [c4]Ying Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shuai Huang:
Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease. SDM 2015: 721-729 - 2013
- [j3]Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman:
A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1328-1342 (2013) - 2012
- [b1]Shuai Huang:
Novel Statistical Models for Complex Data Structures. Arizona State University, Tempe, USA, 2012 - 2011
- [c3]Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman:
Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. KDD 2011: 931-939 - [c2]Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman:
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis. NIPS 2011: 1431-1439 - 2010
- [j2]Shuai Huang, Jing Li, Liang Sun, Jieping Ye, Adam Fleisher, Teresa Wu, Kewei Chen, Eric Reiman:
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation. NeuroImage 50(3): 935-949 (2010) - [j1]Shuai Huang, Rong Pan, Jing Li:
A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures. IEEE Trans. Reliab. 59(4): 650-660 (2010)
2000 – 2009
- 2009
- [c1]Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye:
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data. NIPS 2009: 808-816
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-17 21:51 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
