Naiyang Deng

Publication Activity (10 Years)

Years Active: 1994-2021
Publications (10 Years): 6

Top Topics

Support Vector Machine

Microarray Classification

Feature Extraction

Top Venues

Neural Comput. Appl.

Eng. Appl. Artif. Intell.

Int. J. Pattern Recognit. Artif. Intell.

Publications

Jinxin Zhang, Hongjie Zhang, Wenwen Qiang, Naiyang Deng, Ling Jing
Locality cross-view regression for feature extraction. Eng. Appl. Artif. Intell. 105 (2021)
Xiang-Fei Yang, Wensi Wang, Liming Liu, Yuan-Hai Shao, Liting Zhang, Naiyang Deng
Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition. IEEE Access 9 (2021)
Jinxin Zhang, Peng Zhang, Liming Liu, Naiyang Deng, Ling Jing
Collaborative weighted multi-view feature extraction. Eng. Appl. Artif. Intell. 90 (2020)
Xinbin Zhao, Naiyang Deng, Ling Jing
Application of image recognition in civil aviation security based on tensor learning. J. Intell. Fuzzy Syst. 33 (4) (2017)
Meng Lv, Qiuling Hou, Naiyang Deng, Ling Jing
Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 14 (4) (2017)
Qiuling Hou, Ling Zhen, Naiyang Deng, Ling Jing
Novel Grouping Method-based support vector machine plus for structured data. Neurocomputing 211 (2016)
Zhiqiang Zhang, Ling Zhen, Naiyang Deng, Junyan Tan
Manifold proximal support vector machine with mixed-norm for semi-supervised classification. Neural Comput. Appl. 26 (2) (2015)
Zhiqiang Zhang, Ting Ke, Naiyang Deng, Junyan Tan
Biased p-norm support vector machine for PU learning. Neurocomputing 136 (2014)
Zhiqiang Zhang, Ling Zhen, Naiyang Deng, Junyan Tan
Sparse least square twin support vector machine with adaptive norm. Appl. Intell. 41 (4) (2014)
Junyan Tan, Ling Zhen, Naiyang Deng, Zhiqiang Zhang
Laplacian p-norm proximal support vector machine for semi-supervised classification. Neurocomputing 144 (2014)
Junyan Tan, Zhiqiang Zhang, Ling Zhen, Chunhua Zhang, Naiyang Deng
Adaptive feature selection via a new version of support vector machine. Neural Comput. Appl. 23 (3-4) (2013)
Chunhua Zhang, Yuan-Hai Shao, Junyan Tan, Naiyang Deng
Mixed-norm linear support vector machine. Neural Comput. Appl. 23 (7-8) (2013)
Bing Yang, Junyan Tan, Naiyang Deng, Ling Jing
Network Kernel SVM for microarray classification and gene sets selection. ISB (2012)
Jia Lv, Naiyang Deng
Multi-Class Transductive Classification Based on Local Learning and Adjustable Class Label Representation. Int. J. Pattern Recognit. Artif. Intell. 26 (6) (2012)
Kun Zhao, Mingyu Zhang, Naiyang Deng
New robust unsupervised support vector machines. J. Syst. Sci. Complex. 24 (3) (2011)
Dong Dong, Xiaojian Shao, Naiyang Deng, Zhaolei Zhang
Gene expression variations are predictive for stochastic noise. Nucleic Acids Res. 39 (2) (2011)
Xiaojian Shao, Chris S. H. Tan, Courtney Voss, Shawn S. C. Li, Naiyang Deng, Gary D. Bader
A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence. Bioinform. 27 (3) (2011)
Kun Zhao, Yingjie Tian, Naiyang Deng
Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines. ISNN (2) (2009)
Zhixia Yang, Yingjie Tian, Naiyang Deng
Leave-one-out bounds for support vector ordinal regression machine. Neural Comput. Appl. 18 (7) (2009)
Haibin Zhang, Qiang Cheng, Yi Xue, Naiyang Deng
An Efficient Version on a New Improved Method of Tangent Hyperbolas. LSMS (1) (2007)
Haibin Zhang, Naiyang Deng
An improved inexact Newton method. J. Glob. Optim. 39 (2) (2007)
Kun Zhao, Yingjie Tian, Naiyang Deng
Unsupervised and Semi-supervised Lagrangian Support Vector Machines. International Conference on Computational Science (3) (2007)
Kun Zhao, Yingjie Tian, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio
Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines. ICDM Workshops (2007)
Ruxin Qin, Jing Chen, Naiyang Deng, Yingjie Tian
-Support Vector Regression. International Conference on Computational Science (3) (2007)
Kun Zhao, Yingjie Tian, Naiyang Deng
Unsupervised and Semi-Supervised Two-class Support Vector Machines. ICDM Workshops (2006)
L. H. Chen, Naiyang Deng, Jianzhong Zhang
A Modified Quasi-Newton Method for Structured Optimization with Partial Information on the Hessian. Comput. Optim. Appl. 35 (1) (2006)
Yingjie Tian, Naiyang Deng
Support Vector Classification with Nominal Attributes. CIS (1) (2005)
Zhixia Yang, Naiyang Deng, Yingjie Tian
A Multi-class Classification Algorithm based on Ordinal Regression Machine. CIMCA/IAWTIC (2005)
Naiyang Deng, Yi Xue, Jianzhong Zhang, Ping Zhong
An Inexact Newton Method Derived from Efficiency Analysis. J. Glob. Optim. 31 (2) (2005)
Yingjie Tian, Naiyang Deng
Leave-one-out Bounds for Support Vector Regression. CIMCA/IAWTIC (2005)
Zhiquan Qi, Yingjie Tian, Naiyang Deng
A New Support Vector Machine for Multi-class Classification. CIS (1) (2005)
Naiyang Deng, Haibin Zhang
Theoretical efficiency of a new inexact method of tangent hyperbolas. Optim. Methods Softw. 19 (3-4) (2004)
Jianzhong Zhang, Yi Xue, Ping Zhong, Naiyang Deng
PCG-inexact Newton methods for unary optimization. Eur. J. Oper. Res. 143 (2) (2002)
Jianzhong Zhang, L. H. Chen, Naiyang Deng
A Family of Scaled Factorized Broyden-Like Methods for Nonlinear Least Squares Problems. SIAM J. Optim. 10 (4) (2000)
Emilio Spedicato, Zhi Chen, Naiyang Deng
A class of difference ABS-type algorithms for a nonlinear system of equations. Numer. Linear Algebra Appl. 1 (3) (1994)