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ORCIDJian Fang 0001
Person information
- affiliation: Tulane University, Biomedical Engineering Department, New Orleans, LA, USA
- affiliation: Xi'an Jiaotong University, School of Mathematics and Statistics, Xi'an, ShaanXi, China
Other persons with the same name
- Jian Fang — disambiguation page
- Jian Fang 0002
![[0000-0003-2026-2713]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2026-2713")
— Beihang University, School of Energy and Power Engineering, Beijing, China - Jian Fang 0003 — Dalian University of Technology, School of Software, China
- Jian Fang 0004 — Delft University of Technology, Netherlands
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2020 – today
- 2022
[j17]Shao-Bo Lin, Jian Fang, Xiangyu Chang:
Learning With Selected Features. IEEE Trans. Cybern. 52(4): 2032-2046 (2022)- 2021
- [j16]Aiying Zhang, Jian Fang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang:
A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1350-1360 (2021) - 2020
- [j15]Min Wang, Ting-Zhu Huang, Jian Fang, Vince D. Calhoun, Yu-Ping Wang:
Integration of Imaging (epi)Genomics Data for the Study of Schizophrenia Using Group Sparse Joint Nonnegative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1671-1681 (2020) - [j14]Jian Fang, Shaobo Lin, Zongben Xu:
Learning Through Deterministic Assignment of Hidden Parameters. IEEE Trans. Cybern. 50(5): 2321-2334 (2020)
2010 – 2019
- 2019
- [j13]Aiying Zhang, Jian Fang, Faming Liang, Vince D. Calhoun, Yu-Ping Wang:
Aberrant Brain Connectivity in Schizophrenia Detected via a Fast Gaussian Graphical Model. IEEE J. Biomed. Health Informatics 23(4): 1479-1489 (2019) - 2018
- [j12]Chao Xu, Jian Fang, Hui Shen, Yu-Ping Wang, Hong-Wen Deng:
EPS-LASSO: test for high-dimensional regression under extreme phenotype sampling of continuous traits. Bioinform. 34(12): 1996-2003 (2018) - [j11]Jian Fang, Ji-Gang Zhang, Hong-Wen Deng, Yu-Ping Wang:
Joint Detection of Associations Between DNA Methylation and Gene Expression From Multiple Cancers. IEEE J. Biomed. Health Informatics 22(6): 1960-1969 (2018) - [j10]Jian Fang, Chao Xu, Pascal Zille, Dongdong Lin, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang:
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation. IEEE Trans. Medical Imaging 37(4): 860-870 (2018) - [c4]Jian Fang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Detection of differentially developed functional connectivity patterns in adolescents based on tensor discriminative analysis. ISBI 2018: 10-14 - [c3]Aiying Zhang, Jian Fang, Vince D. Calhoun, Yu-Ping Wang:
High dimensional latent Gaussian copula model for mixed data in imaging genetics. ISBI 2018: 105-109 - [i6]Jian Fang, Shaobo Lin, Zongben Xu:
Learning through deterministic assignment of hidden parameters. CoRR abs/1803.08374 (2018) - 2017
- [c2]Min Wang, Ting-Zhu Huang, Vince D. Calhoun, Jian Fang, Yu-Ping Wang:
Integration of multiple genomic imaging data for the study of schizophrenia using joint nonnegative matrix factorization. ICASSP 2017: 1083-1087 - 2016
- [j9]Jian Fang, Dongdong Lin, S. Charles Schulz, Zongben Xu, Vince D. Calhoun, Yu-Ping Wang:
Joint sparse canonical correlation analysis for detecting differential imaging genetics modules. Bioinform. 32(22): 3480-3488 (2016) - [j8]Chen Qiao, Wenfeng Jing, Jian Fang, Yu-Ping Wang:
The general critical analysis for continuous-time UPPAM recurrent neural networks. Neurocomputing 175: 40-46 (2016) - [j7]Jian Fang, Shaobo Lin, Zongben Xu:
Learning and approximation capabilities of orthogonal super greedy algorithm. Knowl. Based Syst. 95: 86-98 (2016) - 2015
- [j6]Xia Liu, Shaobo Lin, Jian Fang, Zongben Xu:
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I). IEEE Trans. Neural Networks Learn. Syst. 26(1): 7-20 (2015) - [j5]Shaobo Lin, Xia Liu, Jian Fang, Zongben Xu:
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II). IEEE Trans. Neural Networks Learn. Syst. 26(1): 21-34 (2015) - 2014
- [j4]Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu:
Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel. Neural Comput. 26(10): 2350-2378 (2014) - [j3]Jian Fang, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu:
Fast Compressed Sensing SAR Imaging Based on Approximated Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(1): 352-363 (2014) - [i5]Shaobo Lin, Xia Liu, Jian Fang, Zongben Xu:
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II). CoRR abs/1401.6240 (2014) - [i4]Jian Fang, Shaobo Lin, Zongben Xu:
Learning and approximation capability of orthogonal super greedy algorithm. CoRR abs/1409.5330 (2014) - 2013
- [i3]Jian Fang, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu:
Fast Compressed Sensing SAR Imaging based on Approximated Observation. CoRR abs/1302.3120 (2013) - [i2]Jian Fang, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu:
Compressed Sensing SAR Imaging with Multilook Processing. CoRR abs/1310.7217 (2013) - [i1]Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu:
Learning rates of lq coefficient regularization learning with Gaussian kernel. CoRR abs/1312.5465 (2013) - 2012
- [j2]Jinshan Zeng, Jian Fang, Zongben Xu:
Sparse SAR imaging based on L 1/2 regularization. Sci. China Inf. Sci. 55(8): 1755-1775 (2012) - [j1]Jian Fang, Jinshan Zeng, Zongben Xu, Yao Zhao:
Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method. Sci. China Inf. Sci. 55(8): 1838-1851 (2012) - [c1]Jian Fang, Zongben Xu, Chenglong Jiang, Bingchen Zhang, Wen Hong:
SAR range ambiguity suppression via sparse regularization. IGARSS 2012: 3811-3814
Coauthor Index
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