Jianhua Z. Huang

Biclustering via structured regularized matrix decomposition
20226 citationsauthor #2
Further Tests of the ZCAPM Asset Pricing Model
20223 citationsauthor #2
International tests of the ZCAPM asset pricing model
20224 citationsauthor #2
Improved Estimation of High-dimensional Additive Models Using Subspace Learning
20223 citationsauthor #3
Stock Return Data and Empirical Methods
20210 citationsauthor #3
A New Model of Capital Asset Prices
20213 citationsauthor #3
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models
202115 citationsauthor #5
Empirical Form of the ZCAPM
20210 citationsauthor #3
Asymptotic properties of penalized spline estimators in concave extended linear models: Rates of convergence
20219 citationsauthor #1
Capital Asset Pricing Models
20210 citationsauthor #3
Simultaneous inference of periods and period-luminosity relations for Mira variable stars
20211 citationsauthor #5
Empirical Tests of the ZCAPM
20210 citationsauthor #3
Efficient Investment Portfolios: An Application of the ZCAPM
20210 citationsauthor #3
Asset Pricing Evolution
20210 citationsauthor #3
The Momentum Mytery: An Application of the ZCAPM
20210 citationsauthor #3
Cross-Sectional Tests of the ZCAPM
20210 citationsauthor #3
A New Model of Capital Asset Prices: Theory and Evidence
20213 citationsauthor #1
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks
202121 citationsauthor #4
Synopsis of Asset Pricing and the ZCAPM
20210 citationsauthor #3
Theoretical Form of the ZCAPM
20210 citationsauthor #3
Functional PCA With Covariate-Dependent Mean and Covariance Structure
20208 citationsauthor #4
Data-Driven End-To-End Production Prediction of Oil Reservoirs by EnKF-Enhanced Recurrent Neural Networks
202034 citationsauthor #3
Supplementary Material of Robust Negative Sampling for Network Embedding
20190 citationsauthor #3
Fast dynamic nonparametric distribution tracking in electron microscopic data
20199 citationsauthor #2
Smoothed Full-Scale Approximation of Gaussian Process Models for Computation of Large Spatial Datasets
201912 citationsauthor #3
Robust Negative Sampling for Network Embedding
201946 citationsauthor #3
Enabling High-Dimensional Bayesian optimization for Efficient Failure Detection of Analog and Mixed-Signal Circuits
201917 citationsauthor #3
Global Adversarial Attacks for Assessing Deep Learning Robustness
20194 citationsauthor #3
Return Dispersion and the Cross-Section of Stock Returns
20191 citationsauthor #3
Time Series Seasonal Adjustment Using Regularized Singular Value Decomposition
201911 citationsauthor #2
Covariate matching methods for testing and quantifying wind turbine upgrades
20187 citationsauthor #3
Exponential Family Functional data analysis via a low‐rank model
201818 citationsauthor #2
Principal Component Analysis for Exponential Family Data
20180 citationsauthor #3
Parallelizable Bayesian Optimization for Analog and Mixed-Signal Rare Failure Detection with High Coverage
201818 citationsauthor #3
Characterization of Type Ia Supernova Light Curves Using Principal Component Analysis of Sparse Functional Data
201819 citationsauthor #3
Shuffle of min’s random variable approximations of bivariate copulas’ realization
20181 citationsauthor #3
Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates
201817 citationsauthor #4
Near-infrared Mira Period–Luminosity Relations in M33
201834 citationsauthor #5
Safe Active Feature Selection for Sparse Learning
20180 citationsauthor #2
To Wait or Not to Wait: Two-Way Functional Hazards Model for Understanding Waiting in Call Centers
20177 citationsauthor #2
Large Magellanic Cloud Near-infrared Synoptic Survey. V. Period–Luminosity Relations of Miras
201734 citationsauthor #4
Building Efficient Portfolios Sensitive to Market Volatility
20170 citationsauthor #3
A Search for Miras in M33 Using Sparsely-Sampled Time Series Photometry
20170 citationsauthor #5
Adaptive Basis Selection for Exponential Family Smoothing Splines with Application in Joint Modeling of Multiple Sequencing Samples
20178 citationsauthor #3
Two Market Forces in Asset Prices
201710 citationsauthor #3
Protein Structure Classification and Loop Modeling Using Multiple Ramachandran Distributions
201729 citationsauthor #4
Estimation of a Semiparametric Varying-Coefficient Mixed Regressive Spatial Autoregressive Model.
201717 citationsauthor #3
The M33 Synoptic Stellar Survey. II. Mira Variables
201720 citationsauthor #5
Identifying multi-stage nanocrystal growth using in situ TEM video data
201714 citationsauthor #2
Singular-Value Decomposition Feature-Extraction Method for Cost-Performance Prediction
20173 citationsauthor #3
Sparse Canonical Correlation Analyses of Multimodal Omics Data
20160 citationsauthor #3
Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information
201615 citationsauthor #2
Collective Estimation of Multiple Bivariate Density Functions With Application to Angular-Sampling-Based Protein Loop Modeling
201612 citationsauthor #5
Asymptotic properties of adaptive group Lasso for sparse reduced rank regression
20162 citationsauthor #2
Supervised Sparse and Functional Principal Component Analysis
201630 citationsauthor #3
Sparse exponential family Principal Component Analysis
201617 citationsauthor #2
Estimation of a probability density function using interval aggregated data
20165 citationsauthor #1
Short-Term Wind Speed Forecast Using Measurements From Multiple Turbines in A Wind Farm
201634 citationsauthor #2
PERIOD ESTIMATION FOR SPARSELY SAMPLED QUASI-PERIODIC LIGHT CURVES APPLIED TO MIRAS
201618 citationsauthor #3
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes
201638 citationsauthor #2
Are Functional Depths Functional
20153 citationsauthor #2
A Study of Functional Depths
201515 citationsauthor #2
Newer Approaches to Regression and Tree-Based Modeling
20150 citationsauthor #2
Modulus prediction of buckypaper based on multi-fidelity analysis involving latent variables
201519 citationsauthor #2
$L^{\infty}$ Depth for Functional Data
20150 citationsauthor #2
Integrating Data Transformation in Principal Components Analysis
201529 citationsauthor #2
Solving the MEG Inverse Problem: A Robust Two-Way Regularization Method
20150 citationsauthor #2
Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization
201548 citationsauthor #2
Supplementary material for “ Efficient computation of smoothing splines via adaptive basis sampling ”
201539 citationsauthor #2
Methods to assess an exercise intervention trial based on 3-level functional data.
201522 citationsauthor #5
Data Analytics Methods for Wind Energy Applications
20156 citationsauthor #3
Sparse reduced-rank regression with covariance estimation
201421 citationsauthor #2
Supervised Transfer Sparse Coding
201429 citationsauthor #4
Supervised categorical principal component analysis for genome-wide association analyses
201410 citationsauthor #4
An Introduction to Statistical Learning: With Applications in R By Gareth James, Trevor Hastie, Robert Tibshirani, Daniela Witten
201462 citationsauthor #1
Focused information criterion and model averaging based on weighted composite quantile regression
201432 citationsauthor #3
Full-scale approximations of spatio-temporal covariance models for large datasets
201435 citationsauthor #3
Efficient semiparametric estimation in generalized partially linear additive models for longitudinal/clustered data
201427 citationsauthor #3
Logistic Principal Component Analysis for Rare Variants in Gene-Environment Interaction Analysis
201412 citationsauthor #4
Biomarker Detection in Association Studies: Modeling SNPs Simultaneously via Logistic ANOVA
201411 citationsauthor #2
Efficient estimation of semiparametric copula models for bivariate survival data
201410 citationsauthor #4
LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone
201445 citationsauthor #2
Workshop on Nonparametric Estimation and Functional data
20140 citationsauthor #1
Functional Data Analysis of Generalized Quantile Regressions
201325 citationsauthor #3
BAYESIAN OBJECT CLASSIFICATION OF GOLD NANOPARTICLES
201312 citationsauthor #3
EEG/MEG Source Reconstruction with Spatial-Temporal Two-Way Regularized Regression
20133 citationsauthor #2
Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone angles
201314 citationsauthor #3
Applications of Functional Dynamic Factor Models
20130 citationsauthor #3
The cluster bootstrap consistency in generalized estimating equations
201355 citationsauthor #3
A coordinate descent MM algorithm for fast computation of sparse logistic PCA
201312 citationsauthor #2
Robust regularized singular value decomposition with application to mortality data
201337 citationsauthor #3
Segmentation, Inference and Classification of Partially Overlapping Nanoparticles
2013169 citationsauthor #2
Two‐way regularization for MEG source reconstruction via multilevel coordinate descent
20135 citationsauthor #2
Accurate prediction of hot spot residues through physicochemical characteristics of amino acid sequences
201343 citationsauthor #5
Analysis of Variance of Integro-Differential Equations with Application to Population Dynamics of Cotton Aphids
20130 citationsauthor #3
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
2013422 citationsauthor #4
A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood
201313 citationsauthor #2
Functional data analysis of generalized regression quantiles
201327 citationsauthor #3
Analysis of Variance of Integro-Differential Equations with Application to Population Dynamics of Cotton Aphids
20135 citationsauthor #3
Robust estimation of the correlation matrix of longitudinal data
201314 citationsauthor #3

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