Interday Forecasting and Intraday Updating of Call Center Arrivals. - Haipeng Shen; Jianhua Z. Huang (Manuf. Serv. Oper. Manag., 2008)

Use of multiple singular value decompositions to analyze complex intracellular calcium ion signals - Josue G. Martinez; Jianhua Z. Huang; Robert C. Burghardt; Rola Barhoumi; Raymond J. Carroll (CoRR, 2010)

A Computable Plug-In Estimator of Minimum Volume Sets for Novelty Detection. - Chiwoo Park; Jianhua Z. Huang; Yu Ding 002 (Oper. Res., 2010)

Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets. - Chiwoo Park; Jianhua Z. Huang; Yu Ding 002 (J. Mach. Learn. Res., 2011)

Supervised logistic principal component analysis for pathway based genome-wide association studies. - Meng Lu; Jianhua Z. Huang; Xiaoning Qian (BCB, 2012)

GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression. - Chiwoo Park; Jianhua Z. Huang; Yu Ding 002 (J. Mach. Learn. Res., 2012)

Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone angles. - Mehdi Maadooliat; Xin Gao 001; Jianhua Z. Huang (Briefings Bioinform., 2013)

A coordinate descent MM algorithm for fast computation of sparse logistic PCA. - Seokho Lee; Jianhua Z. Huang (Comput. Stat. Data Anal., 2013)

The cluster bootstrap consistency in generalized estimating equations. - Guang Cheng; Zhuqing Yu; Jianhua Z. Huang (J. Multivar. Anal., 2013)

EEG/MEG Source Reconstruction with Spatial-Temporal Two-Way Regularized Regression. - Tian Siva Tian; Jianhua Z. Huang; Haipeng Shen; Zhimin Li (Neuroinformatics, 2013)

Segmentation, Inference and Classification of Partially Overlapping Nanoparticles. - Chiwoo Park; Jianhua Z. Huang; Jim X. Ji; Yu Ding 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Robust estimation of the correlation matrix of longitudinal data. - Mehdi Maadooliat; Mohsen Pourahmadi; Jianhua Z. Huang (Stat. Comput., 2013)

Two-way regularization for MEG source reconstruction via multilevel coordinate descent. - Tian Siva Tian; Jianhua Z. Huang; Haipeng Shen (Stat. Anal. Data Min., 2013)

Supervised Transfer Sparse Coding. - Maruan Al-Shedivat; Jim Jing-Yan Wang; Majed Alzahrani; Jianhua Z. Huang; Xin Gao 001 (AAAI, 2014)

LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone. - Peng Chen 001; Jianhua Z. Huang; Xin Gao 001 (BMC Bioinform., 2014)

Supervised categorical principal component analysis for genome-wide association analyses. - Meng Lu; Hye-Seung Lee; David Hadley; Jianhua Z. Huang; Xiaoning Qian (BMC Genom., 2014)

Efficient estimation of semiparametric copula models for bivariate survival data. - Guang Cheng; Lan Zhou; Xiaohong Chen 006; Jianhua Z. Huang (J. Multivar. Anal., 2014)

A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood. - Seokho Lee; Jianhua Z. Huang (Stat. Comput., 2014)

Logistic Principal Component Analysis for Rare Variants in Gene-Environment Interaction Analysis. - Meng Lu; Hye-Seung Lee; David Hadley; Jianhua Z. Huang; Xiaoning Qian (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization. - Jim Jing-Yan Wang; Jianhua Z. Huang; Yijun Sun; Xin Gao 001 (Expert Syst. Appl., 2015)

Functional data analysis of generalized regression quantiles. - Mengmeng Guo; Lan Zhou; Jianhua Z. Huang; Wolfgang Karl Härdle (Stat. Comput., 2015)

Solving the MEG Inverse Problem: A Robust Two-Way Regularization Method. - Tian Siva Tian; Jianhua Z. Huang; Haipeng Shen (Technometrics, 2015)

Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes. - Chiwoo Park; Jianhua Z. Huang (J. Mach. Learn. Res., 2016)

Sparse exponential family Principal Component Analysis. - Meng Lu; Jianhua Z. Huang; Xiaoning Qian (Pattern Recognit., 2016)

Sparse reduced-rank regression with covariance estimation. - Lisha Chen; Jianhua Z. Huang (Stat. Comput., 2016)

Short-Term Wind Speed Forecast Using Measurements From Multiple Turbines in A Wind Farm. - Arash Pourhabib; Jianhua Z. Huang; Yu Ding 002 (Technometrics, 2016)

Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information. - Yanjun Qian; Jianhua Z. Huang; Xiaodong Li; Yu Ding 002 (IEEE Trans. Image Process., 2016)

Singular-Value Decomposition Feature-Extraction Method for Cost-Performance Prediction. - Shiyuan He; Jing Du; Jianhua Z. Huang (J. Comput. Civ. Eng., 2017)

Parallelizable Bayesian optimization for analog and mixed-signal rare failure detection with high coverage. - Hanbin Hu; Peng Li 001; Jianhua Z. Huang (ICCAD, 2018)

Safe Active Feature Selection for Sparse Learning. - Shaogang Ren; Jianhua Z. Huang; Shuai Huang 001; Xiaoning Qian (CoRR, 2018)

Robust Negative Sampling for Network Embedding. - Mohammadreza Armandpour; Patrick Ding; Jianhua Z. Huang; Xia Hu (AAAI, 2019)

Enabling High-Dimensional Bayesian Optimization for Efficient Failure Detection of Analog and Mixed-Signal Circuits. - Hanbin Hu; Peng Li 001; Jianhua Z. Huang (DAC, 2019)

Global Adversarial Attacks for Assessing Deep Learning Robustness. - Hanbin Hu; Mit Shah; Jianhua Z. Huang; Peng Li 001 (CoRR, 2019)

scTenifoldNet: A Machine Learning Workflow for Constructing and Comparing Transcriptome-wide Gene Regulatory Networks from Single-Cell Data. - Daniel Osório 004; Yan Zhong 003; Guanxun Li; Jianhua Z. Huang; James J. Cai (Patterns, 2020)

Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks. - Mohammadreza Armandpour; Brian Kidd; Yu Du; Jianhua Z. Huang (IJCNN, 2021)

scTenifoldKnk: An efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbation. - Daniel Osório 004; Yan Zhong 003; Guanxun Li; Qian Xu; Yongjian Yang 003; Yanan Tian; Robert S. Chapkin; Jianhua Z. Huang; James J. Cai (Patterns, 2022)

Biclustering via structured regularized matrix decomposition. - Yan Zhong 003; Jianhua Z. Huang (Stat. Comput., 2022)

Functional PCA With Covariate-Dependent Mean and Covariance Structure. - Fei Ding; Shiyuan He; David E. Jones; Jianhua Z. Huang (Technometrics, 2022)

Improved Estimation of High-dimensional Additive Models Using Subspace Learning. - Shiyuan He; Kejun He; Jianhua Z. Huang (J. Comput. Graph. Stat., 2022)

Incentivized Federated Learning in Data Spaces. - Shuwen Liu; Jianhua Z. Huang; Patrick P. C. Lee; George C. Polyzos (PerCom Workshops, 2025)

Rare Event Detection by Acquisition-Guided Sampling. - Huiling Liao; Xiaoning Qian; Jianhua Z. Huang; Peng Li 001 (IEEE Trans Autom. Sci. Eng., 2025)