How the Level of Interchangeability Embedded in a Finite Constraint Satisfaction Problem Affects the Performance of Search. - Amy M. Beckwith; Berthe Y. Choueiry; Hui Zou (Australian Joint Conference on Artificial Intelligence, 2001)

A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning. - Saharon Rosset; Ji Zhu 001; Hui Zou; Trevor Hastie (NIPS, 2004)

Hybrid huberized support vector machines for microarray classification. - Li Wang; Ji Zhu; Hui Zou (ICML, 2007)

An Improved 1-norm SVM for Simultaneous Classification and Variable Selection. - Hui Zou (AISTATS, 2007)

Variable Selection for the Linear Support Vector Machine. - Ji Zhu; Hui Zou (Trends in Neural Computation, 2007)

Hybrid huberized support vector machines for microarray classification and gene selection. - Li Wang; Ji Zhu; Hui Zou (Bioinform., 2008)

Regularized simultaneous model selection in multiple quantiles regression. - Hui Zou; Ming Yuan 001 (Comput. Stat. Data Anal., 2008)

Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models. - Lingyan Ruan; Ming Yuan 001; Hui Zou (Neural Comput., 2011)

Design and implementation of CRM system based on MVC framework. - Xiaopei Liu; Hui Zou; Teng Fei; Cheng Zhu; Yanxiang Geng (FSKD, 2012)

SURE-tuned tapering estimation of large covariance matrices. - Feng Yi; Hui Zou (Comput. Stat. Data Anal., 2013)

Minimax optimal estimation of general bandable covariance matrices. - Lingzhou Xue; Hui Zou (J. Multivar. Anal., 2013)

Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection. - Shiqian Ma; Lingzhou Xue; Hui Zou (Neural Comput., 2013)

A Note On the Connection and Equivalence of Three Sparse Linear Discriminant Analysis Methods. - Qing Mai; Hui Zou (Technometrics, 2013)

Sparse matrices in data analysis. - Nickolay T. Trendafilov; Martin Kleinsteuber; Hui Zou (Comput. Stat., 2014)

Sparse semiparametric discriminant analysis. - Qing Mai; Hui Zou (J. Multivar. Anal., 2015)

A fast unified algorithm for solving group-lasso penalize learning problems. - Yi Yang 046; Hui Zou (Stat. Comput., 2015)

Nonparametric Variable Transformation in Sufficient Dimension Reduction. - Qing Mai; Hui Zou (Technometrics, 2015)

Protection of Personal Information Security in the Age of Big Data. - Hui Zou (CIS, 2016)

Deep Learning and Shared Representation Space Learning Based Cross-Modal Multimedia Retrieval. - Hui Zou; Ji-Xiang Du; Chuan-Min Zhai; Jing Wang 049 (ICIC (2), 2016)

SURE Information Criteria for Large Covariance Matrix Estimation and Their Asymptotic Properties. - Danning Li; Hui Zou (IEEE Trans. Inf. Theory, 2016)

A Selective Overview of Sparse Principal Component Analysis. - Hui Zou; Lingzhou Xue (Proc. IEEE, 2018)

ADMM for High-Dimensional Sparse Penalized Quantile Regression. - Yuwen Gu; Jun Fan; Lingchen Kong; Shiqian Ma; Hui Zou (Technometrics, 2018)

Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces. - Yi Yang 046; Teng Zhang; Hui Zou (Technometrics, 2018)

An Approach of Traffic Accident Scene Reconstruction Using Unmanned Aerial Vehicle Photogrammetry. - Xiaofeng Liu; Hui Zou; Wanyu Niu; Yuqing Song 002; Wenzhang He (SSIP, 2019)

An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA. - Shixiang Chen; Shiqian Ma; Lingzhou Xue; Hui Zou (CoRR, 2019)

A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification. - Boxiang Wang; Hui Zou (Technometrics, 2019)

Semi-supervised dimensionality reduction via sparse locality preserving projection. - Huijie Guo; Hui Zou; Junyan Tan (Appl. Intell., 2020)

The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response. - Xin Zhang; Qing Mai; Hui Zou (J. Mach. Learn. Res., 2020)

A Note on Cross-Validation for Lasso Under Measurement Errors. - Abhirup Datta; Hui Zou (Technometrics, 2020)

Comment: Ridge Regression - Still Inspiring After 50 Years. - Hui Zou (Technometrics, 2020)

Sparse Composite Quantile Regression in Ultrahigh Dimensions With Tuning Parameter Calibration. - Yuwen Gu; Hui Zou (IEEE Trans. Inf. Theory, 2020)

An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis. - Shixiang Chen; Shiqian Ma; Lingzhou Xue; Hui Zou (INFORMS J. Optim., 2020)

The Horizontal INR Conflict-Detection Algorithm: Revealing INR Reallocation and Reauthorization in RPKI. - Hui Zou; Di Ma; Qing Shao; Wei Mao (IM, 2021)

Changing Regional Inequality Patterns in Western China: A Case Study of Xinjiang. - Xianhong Qin; Hui Zou; Lei Wang 156 (Complex., 2021)

Exploring the Classification and Restructuring of Chemical Industrial Cities in China: The Perspectives of Sectoral and Spatial Differences. - Hui Zou; Xuejun Duan; Lei Wang 156; Tingting Jin (Complex., 2021)

Forecasting Influenza Based on Autoregressive Moving Average and Holt-Winters Exponential Smoothing Models. - Guohun Zhu; Liping Li; Yuebin Zheng; Xiaowei Zhang; Hui Zou (J. Adv. Comput. Intell. Intell. Informatics, 2021)

Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion. - Qiang Lin; Liran Yang; Ping Zhong 003; Hui Zou (Knowl. Based Syst., 2021)

Multi-class support vector machine based on the minimization of class variance. - Zhiqiang Zhang; Zeqian Xu; Junyan Tan; Hui Zou (Neural Process. Lett., 2021)

The Hanging ROA: A Secure and Scalable Encoding Scheme for Route Origin Authorization. - Yanbiao Li; Hui Zou; Yuxuan Chen; Yinbo Xu; Zhuoran Ma; Di Ma; Ying Hu; Gaogang Xie (INFOCOM, 2022)

Unsupervised adversarial domain adaptation based on interpolation image for fish detection in aquaculture. - Tengyun Zhao; Zhencai Shen; Hui Zou; Ping Zhong 003; Yingyi Chen (Comput. Electron. Agric., 2022)

Retargeted multi-view classification via structured sparse learning. - Zhi Wang 019; Zhencai Shen; Hui Zou; Ping Zhong 003; Yingyi Chen (Signal Process., 2022)

Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers. - Boxiang Wang; Hui Zou (Technometrics, 2022)

Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification. - Oh-Ran Kwon; Hui Zou (J. Mach. Learn. Res., 2023)

Density-Convoluted Support Vector Machines for High-Dimensional Classification. - Boxiang Wang; Le Zhou; Yuwen Gu; Hui Zou (IEEE Trans. Inf. Theory, 2023)

Cross-view multi-layer perceptron for incomplete multi-view learning. - Zhi Wang; Heng Zhou 006; Ping Zhong; Hui Zou (Appl. Soft Comput., 2024)

Joint-sensemaking, innovation, and communication management during crisis: Evidence from the DCT applications in China. - Jingjing Qu; Liwei Chen; Hui Zou; Hui Hui; Wen Zheng; Jar-Der Luo; Qingyuan Gong; Yuwei Zhang; Tianyu Wen; Yang Chen (Big Data Soc., 2024)

An Intelligent Innovation Dataset on Scientific Research Outcomes. - Xinran Wu; Hui Zou; Yidan Xing 001; Jingjing Qu; Qiongxiu Li; Renxia Xue; Xiaoming Fu 001 (CoRR, 2024)

The Hybrid ROA: A Flexible and Scalable Encoding Scheme for Route Origin Authorization. - Yanbiao Li; Hui Zou; Yuxuan Chen; Yinbo Xu; Zhuoran Ma; Di Ma; Ying Hu; Gaogang Xie (CoRR, 2024)

Modelling vegetation dynamics for future climates in Australian catchments: Comparison of a conceptual eco-hydrological modelling approach with a deep learning alternative. - Hui Zou; Lucy A. Marshall; Ashish Sharma 002; Jie Jian; Clare Stephens; Philippa Higgins (Environ. Model. Softw., 2024)

Exactly Uncorrelated Sparse Principal Component Analysis. - Oh-Ran Kwon; Zhaosong Lu; Hui Zou (J. Comput. Graph. Stat., 2024)

Minimax Optimal Rates With Heavily Imbalanced Binary Data. - Yang Song; Hui Zou (IEEE Trans. Inf. Theory, 2024)

From Address Blocks to Authorized Prefixes: Redesigning RPKI ROV with a Hierarchical Hashing Scheme for Fast and Memory-Efficient Validation. - Zedong Ni; Yinbo Xu; Hui Zou; Yanbiao Li; Guang Cheng; Gaogang Xie (NSDI, 2025)

Intelligent Innovation Dataset on Scientific Research Outcomes and Patents. - Xinran Wu; Hui Zou; Yidan Xing 001; Jingjing Qu; Weiwei Guo; Xiaoming Fu 001 (J. Soc. Comput., 2025)

Evaluation and adjustment of clothing comfort based on fuzzy inference. - Xueyun Zhang; Li He; Hui Zou; Xianwen Wang (Discov. Artif. Intell., 2025)