Pattern Recognition of Reciprocating Engine by Using Hilbert Spectrum and K-S Test. - Hongkun Li; Junlong Zhao; Xiaojiang Ma (ICIC (3), 2007)

Dimension reduction using the generalized gradient direction. - Junlong Zhao; Xiuli Zhao (Comput. Stat. Data Anal., 2010)

Sparse Boosting with Correlation Based Penalty. - Junlong Zhao (ADMA, 2012)

Modeling by Combining Dimension Reduction and L2Boosting. - Junlong Zhao (ICIC (1), 2012)

Android-based intelligent mobile robot for indoor healthcare. - Yujun Ma; Dengming Xiao; Ran Li; Ruan Hang; Shan Zhao; Junlong Zhao; Yin Zhang 002 (HealthCom, 2015)

Detecting Multiple Influential Observations in High Dimensional Linear Regression. - Junlong Zhao; Ying Zhang; Lu Niu (ICIC (3), 2015)

General Sparse Boosting: Improving Feature Selection of L2 Boosting by Correlation-Based Penalty Family. - Junlong Zhao (Commun. Stat. Simul. Comput., 2015)

Robust shrinkage estimation and selection for functional multiple linear model through LAD loss. - Lele Huang; Junlong Zhao; Huiwen Wang; Siyang Wang (Comput. Stat. Data Anal., 2016)

Adaptive Kendall's τ Correlation in Bipartite Network for Recommendation. - Xihan Shan; Junlong Zhao (ICIC (3), 2017)

Trace regression model with simultaneously low rank and row(column) sparse parameter. - Junlong Zhao; Lu Niu; Shushi Zhan (Comput. Stat. Data Anal., 2017)

Inference for biased transformation models. - Xuehu Zhu; Tao Wang 067; Junlong Zhao; Lixing Zhu (Comput. Stat. Data Anal., 2017)

Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models. - Junlong Zhao; Hongyu Zhao 003; Lixing Zhu (Stat. Comput., 2018)

Robust estimator of the correlation matrix with sparse Kronecker structure for a high-dimensional matrix-variate. - Lu Niu; Xiumin Liu; Junlong Zhao (J. Multivar. Anal., 2020)

Skin Cancer Detection Using Kernel Fuzzy C-Means and Improved Neural Network Optimization Algorithm. - Huaping Jia; Junlong Zhao; Ali Mohammad Norouzzadeh Gil Molk (Comput. Intell. Neurosci., 2021)

Safe sample screening rules for multicategory angle-based support vector machines. - Yiwei Fan; Junlong Zhao (Comput. Stat. Data Anal., 2022)

α-EGAN: α-Energy distance GAN with an early stopping rule. - Fangting Ji; Xin Zhang 115; Junlong Zhao (Comput. Vis. Image Underst., 2023)

Group variable selection via group sparse neural network. - Xin Zhang 115; Junlong Zhao (Comput. Stat. Data Anal., 2024)