On estimation of a heteroscedastic measurement error model under heavy-tailed distributions. - Chun-Zheng Cao; Jin-Guan Lin; Xiao-Xin Zhu (Comput. Stat. Data Anal., 2012)

On estimation of measurement error models with replication under heavy-tailed distributions. - Jin-Guan Lin; Chun-Zheng Cao (Comput. Stat., 2013)

A Modified U-Net for Brain MR Image Segmentation. - Yunjie Chen; Zhihui Cao; Chunzheng Cao; Jianwei Yang; Jianwei Zhang 005 (ICCCS (6), 2018)

Robust replicated heteroscedastic measurement error model using heavy-tailed distribution. - Chun-Zheng Cao; Mengqian Chen; Yuqian Ren; Yue Xu (Commun. Stat. Simul. Comput., 2018)

Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions. - Chunzheng Cao; Mengqian Chen; Yahui Wang; Jian Qing Shi (Comput. Stat., 2018)

Robust Task Learning Based on Nonlinear Regression With Mixtures of Student-t Distributions. - Chunzheng Cao; Ziyue Wang; Jian Qing Shi; Yunjie Chen (IEEE Access, 2020)

A Robust Spatial Information-Theoretic GMM Algorithm for Bias Field Estimation and Brain MRI Segmentation. - Yunjie Chen; Mao Cai; Xinze Zhou; Cheng Ning 001; Chunzheng Cao; Jianwei Yang (IEEE Access, 2020)

Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data. - Chunzheng Cao; Ming He; Jian Qing Shi; Xin Liu (Comput. Stat., 2021)

A spatially constrained asymmetric Gaussian mixture model for image segmentation. - Yunjie Chen; Ning Cheng; Mao Cai; Chunzheng Cao; Jianwei Yang; Zhichao Zhang (Inf. Sci., 2021)

Adaptive Hardness Indicator Softmax for Deep Face Recognition. - Mao Cai; Ning Cheng; Chunzheng Cao; Jianwei Yang; Yunjie Chen (Int. J. Pattern Recognit. Artif. Intell., 2022)

A spatially constrained skew Student's-t mixture model for brain MR image segmentation and bias field correction. - Ning Cheng; Chunzheng Cao; Jianwei Yang; Zhichao Zhang; Yunjie Chen (Pattern Recognit., 2022)

Joint classification and prediction of random curves using heavy-tailed process functional regression. - Chunzheng Cao; Xin Liu; Shuren Cao; Jian Qing Shi (Pattern Recognit., 2023)

Multi-dimensional Graph Linear Canonical Transform. - Na Li; Zhichao Zhang; Jie Han; Yunjie Chen; Chunzheng Cao (CoRR, 2024)

Graph linear canonical transform based on CM-CC-CM decomposition. - Na Li; Zhichao Zhang; Jie Han; Yunjie Chen; Chunzheng Cao (Digit. Signal Process., 2025)

Convolution Type of Metaplectic Cohen's Distribution Time-Frequency Analysis Theory, Method and Technology. - Manjun Cui; Zhichao Zhang; Jie Han; Yunjie Chen; Chunzheng Cao (IEEE Trans. Inf. Theory, 2025)