Hui Zou

Orcid: 0000-0003-4798-9904

According to our database1, Hui Zou authored at least 44 papers between 2001 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Density-Convoluted Support Vector Machines for High-Dimensional Classification.
IEEE Trans. Inf. Theory, April, 2023

Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification.
J. Mach. Learn. Res., 2023

2022
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers.
Technometrics, 2022

Retargeted multi-view classification via structured sparse learning.
Signal Process., 2022

Unsupervised adversarial domain adaptation based on interpolation image for fish detection in aquaculture.
Comput. Electron. Agric., 2022

The Hanging ROA: A Secure and Scalable Encoding Scheme for Route Origin Authorization.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Multi-class support vector machine based on the minimization of class variance.
Neural Process. Lett., 2021

Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion.
Knowl. Based Syst., 2021

Forecasting Influenza Based on Autoregressive Moving Average and Holt-Winters Exponential Smoothing Models.
J. Adv. Comput. Intell. Intell. Informatics, 2021

Exploring the Classification and Restructuring of Chemical Industrial Cities in China: The Perspectives of Sectoral and Spatial Differences.
Complex., 2021

Changing Regional Inequality Patterns in Western China: A Case Study of Xinjiang.
Complex., 2021

The Horizontal INR Conflict-Detection Algorithm: Revealing INR Reallocation and Reauthorization in RPKI.
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

2020
An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis.
INFORMS J. Optim., July, 2020

Sparse Composite Quantile Regression in Ultrahigh Dimensions With Tuning Parameter Calibration.
IEEE Trans. Inf. Theory, 2020

Comment: Ridge Regression - Still Inspiring After 50 Years.
Technometrics, 2020

A Note on Cross-Validation for Lasso Under Measurement Errors.
Technometrics, 2020

The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response.
J. Mach. Learn. Res., 2020

Semi-supervised dimensionality reduction via sparse locality preserving projection.
Appl. Intell., 2020

2019
A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification.
Technometrics, 2019

An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA.
CoRR, 2019

An Approach of Traffic Accident Scene Reconstruction Using Unmanned Aerial Vehicle Photogrammetry.
Proceedings of the 2019 2nd International Conference on Sensors, 2019

2018
Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces.
Technometrics, 2018

ADMM for High-Dimensional Sparse Penalized Quantile Regression.
Technometrics, 2018

A Selective Overview of Sparse Principal Component Analysis.
Proc. IEEE, 2018

2016
SURE Information Criteria for Large Covariance Matrix Estimation and Their Asymptotic Properties.
IEEE Trans. Inf. Theory, 2016

Deep Learning and Shared Representation Space Learning Based Cross-Modal Multimedia Retrieval.
Proceedings of the Intelligent Computing Theories and Application, 2016

Protection of Personal Information Security in the Age of Big Data.
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

2015
Nonparametric Variable Transformation in Sufficient Dimension Reduction.
Technometrics, 2015

A fast unified algorithm for solving group-lasso penalize learning problems.
Stat. Comput., 2015

Sparse semiparametric discriminant analysis.
J. Multivar. Anal., 2015

2014
Sparse matrices in data analysis.
Comput. Stat., 2014

2013
A Note On the Connection and Equivalence of Three Sparse Linear Discriminant Analysis Methods.
Technometrics, 2013

Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection.
Neural Comput., 2013

Minimax optimal estimation of general bandable covariance matrices.
J. Multivar. Anal., 2013

SURE-tuned tapering estimation of large covariance matrices.
Comput. Stat. Data Anal., 2013

2012
Design and implementation of CRM system based on MVC framework.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models.
Neural Comput., 2011

2008
Regularized simultaneous model selection in multiple quantiles regression.
Comput. Stat. Data Anal., 2008

Hybrid huberized support vector machines for microarray classification and gene selection.
Bioinform., 2008

2007
Variable Selection for the Linear Support Vector Machine.
Proceedings of the Trends in Neural Computation, 2007

An Improved 1-norm SVM for Simultaneous Classification and Variable Selection.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Hybrid huberized support vector machines for microarray classification.
Proceedings of the Machine Learning, 2007

2004
A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2001
How the Level of Interchangeability Embedded in a Finite Constraint Satisfaction Problem Affects the Performance of Search.
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001


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