Shuai Huang
Orcid: 0000-0003-3054-5629Affiliations:
- University of Washington, Department of Industry & Systems Engineering, Seattle, WA, USA
- Arizona State University, Tempe, AZ, USA (PhD 2012)
According to our database1,
Shuai Huang
authored at least 50 papers
between 2009 and 2023.
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Bibliography
2023
J. Comput. Biol., July, 2023
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
2022
A Learning Framework for Personalized Random Utility Maximization (RUM) Modeling of User Behavior.
IEEE Trans Autom. Sci. Eng., 2022
Proceedings of the Machine Learning for Healthcare Conference, 2022
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty.
Proceedings of the International Conference on Machine Learning, 2022
Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness.
Proceedings of the IEEE International Conference on Acoustics, 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors.
Stat. Comput., 2021
Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study.
BMC Medical Informatics Decis. Mak., 2021
Risk Factor Identification in Heterogeneous Disease Progression with L1-Regularized Multi-state Models.
J. Heal. Informatics Res., 2021
Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
2020
GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans Autom. Sci. Eng., 2019
Early detection and risk assessment for chronic disease with irregular longitudinal data analysis.
J. Biomed. Informatics, 2019
Multi-stage optimization models for individual consistency and group consensus with preference relations.
Eur. J. Oper. Res., 2019
UQ-CHI: An Uncertainty Quantification-Based Contemporaneous Health Index for Degenerative Disease Monitoring.
CoRR, 2019
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population.
IEEE Trans. Reliab., 2018
IEEE Trans Autom. Sci. Eng., 2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
J. Heal. Informatics Res., 2018
DL-CHI: a dictionary learning-based contemporaneous health index for degenerative disease monitoring.
EURASIP J. Adv. Signal Process., 2018
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
CoRR, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Image Process., 2017
IEEE Trans Autom. Sci. Eng., 2017
J. Biomed. Informatics, 2017
CHI: A contemporaneous health index for degenerative disease monitoring using longitudinal measurements.
J. Biomed. Informatics, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the British Machine Vision Conference 2017, 2017
Robust emotion recognition from low quality and low bit rate video: A deep learning approach.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017
2016
Heterogeneous multimodal biomarkers analysis for Alzheimer's disease via Bayesian network.
EURASIP J. Bioinform. Syst. Biol., 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2013
A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
2012
2011
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
2010
A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures.
IEEE Trans. Reliab., 2010
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation.
NeuroImage, 2010
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009