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ORCIDJianhua Z. Huang
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2020 – today
- 2022
[j30]Shiyuan He
, Kejun He, Jianhua Z. Huang:
Improved Estimation of High-dimensional Additive Models Using Subspace Learning. J. Comput. Graph. Stat. 31(3): 866-876 (2022)- [j29]Daniel Osório, Yan Zhong, Guanxun Li, Qian Xu, Yongjian Yang, Yanan Tian, Robert S. Chapkin, Jianhua Z. Huang, James J. Cai:
scTenifoldKnk: An efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbation. Patterns 3(3): 100434 (2022) - [j28]Yan Zhong, Jianhua Z. Huang:
Biclustering via structured regularized matrix decomposition. Stat. Comput. 32(3): 37 (2022) - [j27]Fei Ding, Shiyuan He, David E. Jones, Jianhua Z. Huang:
Functional PCA With Covariate-Dependent Mean and Covariance Structure. Technometrics 64(3): 335-345 (2022) - 2021
- [c7]Mohammadreza Armandpour, Brian Kidd, Yu Du, Jianhua Z. Huang:
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks. IJCNN 2021: 1-8 - [i4]Mohammadreza Armandpour, Brian Kidd, Yu Du, Jianhua Z. Huang:
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks. CoRR abs/2106.00884 (2021) - 2020
- [j26]Daniel Osório, Yan Zhong, Guanxun Li, Jianhua Z. Huang, James J. Cai:
scTenifoldNet: A Machine Learning Workflow for Constructing and Comparing Transcriptome-wide Gene Regulatory Networks from Single-Cell Data. Patterns 1(9): 100139 (2020)
2010 – 2019
- 2019
- [c6]Mohammadreza Armandpour, Patrick Ding, Jianhua Z. Huang, Xia Hu:
Robust Negative Sampling for Network Embedding. AAAI 2019: 3191-3198 - [c5]Hanbin Hu, Peng Li, Jianhua Z. Huang:
Enabling High-Dimensional Bayesian Optimization for Efficient Failure Detection of Analog and Mixed-Signal Circuits. DAC 2019: 17 - [i3]Hanbin Hu, Mit Shah, Jianhua Z. Huang, Peng Li:
Global Adversarial Attacks for Assessing Deep Learning Robustness. CoRR abs/1906.07920 (2019) - 2018
- [c4]Hanbin Hu, Peng Li, Jianhua Z. Huang:
Parallelizable Bayesian optimization for analog and mixed-signal rare failure detection with high coverage. ICCAD 2018: 98 - [i2]Shaogang Ren, Jianhua Z. Huang, Shuai Huang, Xiaoning Qian:
Safe Active Feature Selection for Sparse Learning. CoRR abs/1806.05817 (2018) - 2017
- [j25]Shiyuan He, Jing Du, Jianhua Z. Huang:
Singular-Value Decomposition Feature-Extraction Method for Cost-Performance Prediction. J. Comput. Civ. Eng. 31(5) (2017) - 2016
- [j24]Chiwoo Park, Jianhua Z. Huang:
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes. J. Mach. Learn. Res. 17: 174:1-174:29 (2016) - [j23]Meng Lu, Jianhua Z. Huang, Xiaoning Qian:
Sparse exponential family Principal Component Analysis. Pattern Recognit. 60: 681-691 (2016) - [j22]Lisha Chen, Jianhua Z. Huang:
Sparse reduced-rank regression with covariance estimation. Stat. Comput. 26(1-2): 461-470 (2016) - [j21]Arash Pourhabib, Jianhua Z. Huang, Yu Ding:
Short-Term Wind Speed Forecast Using Measurements From Multiple Turbines in A Wind Farm. Technometrics 58(1): 138-147 (2016) - [j20]Yanjun Qian, Jianhua Z. Huang, Xiaodong Li, Yu Ding:
Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information. IEEE Trans. Image Process. 25(12): 5713-5726 (2016) - 2015
- [j19]Jim Jing-Yan Wang, Jianhua Z. Huang, Yijun Sun, Xin Gao:
Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization. Expert Syst. Appl. 42(3): 1278-1286 (2015) - [j18]Mengmeng Guo, Lan Zhou, Jianhua Z. Huang, Wolfgang Karl Härdle:
Functional data analysis of generalized regression quantiles. Stat. Comput. 25(2): 189-202 (2015) - [j17]Tian Siva Tian, Jianhua Z. Huang, Haipeng Shen:
Solving the MEG Inverse Problem: A Robust Two-Way Regularization Method. Technometrics 57(1): 123-137 (2015) - 2014
- [j16]Peng Chen, Jianhua Z. Huang, Xin Gao:
LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone. BMC Bioinform. 15(S-15): S4 (2014) - [j15]Meng Lu, Hye-Seung Lee, David Hadley, Jianhua Z. Huang, Xiaoning Qian:
Supervised categorical principal component analysis for genome-wide association analyses. BMC Genom. 15(S-1): S10 (2014) - [j14]Guang Cheng, Lan Zhou, Xiaohong Chen, Jianhua Z. Huang:
Efficient estimation of semiparametric copula models for bivariate survival data. J. Multivar. Anal. 123: 330-344 (2014) - [j13]Seokho Lee, Jianhua Z. Huang:
A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood. Stat. Comput. 24(3): 429-441 (2014) - [j12]Meng Lu, Hye-Seung Lee, David Hadley, Jianhua Z. Huang, Xiaoning Qian:
Logistic Principal Component Analysis for Rare Variants in Gene-Environment Interaction Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 1020-1028 (2014) - [c3]Maruan Al-Shedivat, Jim Jing-Yan Wang, Majed Alzahrani, Jianhua Z. Huang, Xin Gao:
Supervised Transfer Sparse Coding. AAAI 2014: 1665-1672 - 2013
- [j11]Mehdi Maadooliat, Xin Gao, Jianhua Z. Huang:
Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone angles. Briefings Bioinform. 14(6): 724-736 (2013) - [j10]Seokho Lee, Jianhua Z. Huang:
A coordinate descent MM algorithm for fast computation of sparse logistic PCA. Comput. Stat. Data Anal. 62: 26-38 (2013) - [j9]Guang Cheng, Zhuqing Yu, Jianhua Z. Huang:
The cluster bootstrap consistency in generalized estimating equations. J. Multivar. Anal. 115: 33-47 (2013) - [j8]Tian Siva Tian, Jianhua Z. Huang, Haipeng Shen, Zhimin Li:
EEG/MEG Source Reconstruction with Spatial-Temporal Two-Way Regularized Regression. Neuroinformatics 11(4): 477-493 (2013) - [j7]Chiwoo Park, Jianhua Z. Huang, Jim X. Ji, Yu Ding:
Segmentation, Inference and Classification of Partially Overlapping Nanoparticles. IEEE Trans. Pattern Anal. Mach. Intell. 35(3) (2013) - [j6]Mehdi Maadooliat, Mohsen Pourahmadi, Jianhua Z. Huang:
Robust estimation of the correlation matrix of longitudinal data. Stat. Comput. 23(1): 17-28 (2013) - [j5]Tian Siva Tian, Jianhua Z. Huang, Haipeng Shen:
Two-way regularization for MEG source reconstruction via multilevel coordinate descent. Stat. Anal. Data Min. 6(6): 545-556 (2013) - 2012
- [j4]Chiwoo Park, Jianhua Z. Huang, Yu Ding:
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression. J. Mach. Learn. Res. 13: 775-779 (2012) - [c2]Meng Lu, Jianhua Z. Huang, Xiaoning Qian:
Supervised logistic principal component analysis for pathway based genome-wide association studies. BCB 2012: 52-59 - [c1]Meng Lu, Hye-Seung Lee, David Hadley, Jianhua Z. Huang, Xiaoning Qian:
Logistic principal component analysis for rare variants in gene-environment interaction analysis. GENSiPS 2012: 122-125 - 2011
- [j3]Chiwoo Park, Jianhua Z. Huang, Yu Ding:
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets. J. Mach. Learn. Res. 12: 1697-1728 (2011) - 2010
- [j2]Chiwoo Park, Jianhua Z. Huang, Yu Ding:
A Computable Plug-In Estimator of Minimum Volume Sets for Novelty Detection. Oper. Res. 58(5): 1469-1480 (2010) - [i1]Josue G. Martinez, Jianhua Z. Huang, Robert C. Burghardt, Rola Barhoumi, Raymond J. Carroll:
Use of multiple singular value decompositions to analyze complex intracellular calcium ion signals. CoRR abs/1009.5750 (2010)
2000 – 2009
- 2008
- [j1]Haipeng Shen, Jianhua Z. Huang:
Interday Forecasting and Intraday Updating of Call Center Arrivals. Manuf. Serv. Oper. Manag. 10(3): 391-410 (2008)
Coauthor Index
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