Jianhua Z. Huang

According to our database1, Jianhua Z. Huang authored at least 39 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Improved Estimation of High-dimensional Additive Models Using Subspace Learning.
J. Comput. Graph. Stat., July, 2022

Functional PCA With Covariate-Dependent Mean and Covariance Structure.
Technometrics, 2022

Biclustering via structured regularized matrix decomposition.
Stat. Comput., 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
Global Adversarial Attacks for Assessing Deep Learning Robustness.
CoRR, 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

Robust Negative Sampling for Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Safe Active Feature Selection for Sparse Learning.
CoRR, 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

Sparse reduced-rank regression with covariance estimation.
Stat. Comput., 2016

Sparse exponential family Principal Component Analysis.
Pattern Recognit., 2016

Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes.
J. Mach. Learn. Res., 2016

2015
Solving the MEG Inverse Problem: A Robust Two-Way Regularization Method.
Technometrics, 2015

Functional data analysis of generalized regression quantiles.
Stat. Comput., 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

Efficient estimation of semiparametric copula models for bivariate survival data.
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

Supervised Transfer Sparse Coding.
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

Robust estimation of the correlation matrix of longitudinal data.
Stat. Comput., 2013

Segmentation, Inference and Classification of Partially Overlapping Nanoparticles.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

EEG/MEG Source Reconstruction with Spatial-Temporal Two-Way Regularized Regression.
Neuroinformatics, 2013

The cluster bootstrap consistency in generalized estimating equations.
J. Multivar. Anal., 2013

A coordinate descent MM algorithm for fast computation of sparse logistic PCA.
Comput. Stat. Data Anal., 2013

Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone angles.
Briefings Bioinform., 2013

2012
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression.
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
A Computable Plug-In Estimator of Minimum Volume Sets for Novelty Detection.
Oper. Res., 2010

Use of multiple singular value decompositions to analyze complex intracellular calcium ion signals
CoRR, 2010

2008
Interday Forecasting and Intraday Updating of Call Center Arrivals.
Manuf. Serv. Oper. Manag., 2008


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