Naiyang Deng

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