SAR range ambiguity suppression via sparse regularization. - Jian Fang 001; Zongben Xu; Chenglong Jiang; Bingchen Zhang; Wen Hong (IGARSS, 2012)

Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method. - Jian Fang 001; Jinshan Zeng; Zongben Xu; Yao Zhao (Sci. China Inf. Sci., 2012)

Sparse SAR imaging based on L 1/2 regularization. - Jinshan Zeng; Jian Fang 001; Zongben Xu (Sci. China Inf. Sci., 2012)

Compressed Sensing SAR Imaging with Multilook Processing. - Jian Fang 001; Zongben Xu; Bingchen Zhang; Wen Hong; Yirong Wu (CoRR, 2013)

Learning rates of lq coefficient regularization learning with Gaussian kernel. - Shaobo Lin; Jinshan Zeng; Jian Fang 001; Zongben Xu (CoRR, 2013)

Learning and approximation capability of orthogonal super greedy algorithm. - Jian Fang 001; Shaobo Lin; Zongben Xu (CoRR, 2014)

Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel. - Shaobo Lin; Jinshan Zeng; Jian Fang 001; Zongben Xu (Neural Comput., 2014)

Fast Compressed Sensing SAR Imaging Based on Approximated Observation. - Jian Fang 001; Zongben Xu; Bingchen Zhang; Wen Hong; Yirong Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II). - Shaobo Lin; Xia Liu; Jian Fang 001; Zongben Xu (IEEE Trans. Neural Networks Learn. Syst., 2015)

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I). - Xia Liu; Shaobo Lin; Jian Fang 001; Zongben Xu (IEEE Trans. Neural Networks Learn. Syst., 2015)

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules. - Jian Fang 001; Dongdong Lin; S. Charles Schulz; Zongben Xu; Vince D. Calhoun; Yu-Ping Wang 002 (Bioinform., 2016)

The general critical analysis for continuous-time UPPAM recurrent neural networks. - Chen Qiao; Wenfeng Jing; Jian Fang 001; Yu-Ping Wang 002 (Neurocomputing, 2016)

Learning and approximation capabilities of orthogonal super greedy algorithm. - Jian Fang 001; Shaobo Lin; Zongben Xu (Knowl. Based Syst., 2016)

Integration of multiple genomic imaging data for the study of schizophrenia using joint nonnegative matrix factorization. - Min Wang 022; Ting-Zhu Huang; Vince D. Calhoun; Jian Fang 001; Yu-Ping Wang 002 (ICASSP, 2017)

Detection of differentially developed functional connectivity patterns in adolescents based on tensor discriminative analysis. - Jian Fang 001; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (ISBI, 2018)

High dimensional latent Gaussian copula model for mixed data in imaging genetics. - Aiying Zhang; Jian Fang 001; Vince D. Calhoun; Yu-Ping Wang 002 (ISBI, 2018)

EPS-LASSO: test for high-dimensional regression under extreme phenotype sampling of continuous traits. - Chao Xu 014; Jian Fang 001; Hui Shen 007; Yu-Ping Wang 002; Hong-Wen Deng (Bioinform., 2018)

Joint Detection of Associations Between DNA Methylation and Gene Expression From Multiple Cancers. - Jian Fang 001; Ji-Gang Zhang; Hong-Wen Deng; Yu-Ping Wang 002 (IEEE J. Biomed. Health Informatics, 2018)

Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation. - Jian Fang 001; Chao Xu 014; Pascal Zille; Dongdong Lin; Hong-Wen Deng; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2018)

Aberrant Brain Connectivity in Schizophrenia Detected via a Fast Gaussian Graphical Model. - Aiying Zhang; Jian Fang 001; Faming Liang; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE J. Biomed. Health Informatics, 2019)

Integration of Imaging (epi)Genomics Data for the Study of Schizophrenia Using Group Sparse Joint Nonnegative Matrix Factorization. - Min Wang 022; Ting-Zhu Huang; Jian Fang 001; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Learning Through Deterministic Assignment of Hidden Parameters. - Jian Fang 001; Shaobo Lin; Zongben Xu (IEEE Trans. Cybern., 2020)

A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics. - Aiying Zhang; Jian Fang 001; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Learning With Selected Features. - Shao-Bo Lin; Jian Fang 001; Xiangyu Chang (IEEE Trans. Cybern., 2022)