Jianhua Z. Huang
According to our database1,
Jianhua Z. Huang
authored at least 39 papers
between 2008 and 2022.
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Bibliography
2022
J. Comput. Graph. Stat., July, 2022
Technometrics, 2022
scTenifoldKnk: An efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbation.
Patterns, 2022
2021
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
scTenifoldNet: A Machine Learning Workflow for Constructing and Comparing Transcriptome-wide Gene Regulatory Networks from Single-Cell Data.
Patterns, 2020
2019
Enabling High-Dimensional Bayesian Optimization for Efficient Failure Detection of Analog and Mixed-Signal Circuits.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Parallelizable Bayesian optimization for analog and mixed-signal rare failure detection with high coverage.
Proceedings of the International Conference on Computer-Aided Design, 2018
2017
Singular-Value Decomposition Feature-Extraction Method for Cost-Performance Prediction.
J. Comput. Civ. Eng., 2017
2016
Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information.
IEEE Trans. Image Process., 2016
Short-Term Wind Speed Forecast Using Measurements From Multiple Turbines in A Wind Farm.
Technometrics, 2016
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes.
J. Mach. Learn. Res., 2016
2015
Technometrics, 2015
Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization.
Expert Syst. Appl., 2015
2014
Logistic Principal Component Analysis for Rare Variants in Gene-Environment Interaction Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood.
Stat. Comput., 2014
J. Multivar. Anal., 2014
Supervised categorical principal component analysis for genome-wide association analyses.
BMC Genom., 2014
LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone.
BMC Bioinform., 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Two-way regularization for MEG source reconstruction via multilevel coordinate descent.
Stat. Anal. Data Min., 2013
Stat. Comput., 2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Neuroinformatics, 2013
J. Multivar. Anal., 2013
Comput. Stat. Data Anal., 2013
Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone angles.
Briefings Bioinform., 2013
2012
J. Mach. Learn. Res., 2012
Supervised logistic principal component analysis for pathway based genome-wide association studies.
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets.
J. Mach. Learn. Res., 2011
2010
Oper. Res., 2010
Use of multiple singular value decompositions to analyze complex intracellular calcium ion signals
CoRR, 2010
2008
Manuf. Serv. Oper. Manag., 2008