World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6586
World Ranking
9754
National Ranking
1224

Overview

Nai-Yang Deng is affiliated with China Agricultural University in China. Their research primarily spans the fields of Computer Science and Engineering, with particular focus on Computer Vision and Pattern Recognition as well as related subfields such as Computational Mechanics, Media Technology, Artificial Intelligence, and Signal Processing.

The scientist's publication record includes contributions to topics such as Face and Expression Recognition, Sparse and Compressive Sensing Techniques, Remote-Sensing Image Classification, Video Surveillance and Tracking Methods, Advanced Vision and Imaging, Blind Source Separation Techniques, and Anomaly Detection Techniques and Applications.

Recent papers authored or coauthored by Nai-Yang Deng include:

  • Generalized two-dimensional linear discriminant analysis with regularization, 2021, Neural Networks
  • Multiple Flat Projections for Cross-Manifold Clustering, 2021, IEEE Transactions on Cybernetics
  • Collaborative weighted multi-view feature extraction, 2020, Engineering Applications of Artificial Intelligence
  • Locality cross-view regression for feature extraction, 2021, Engineering Applications of Artificial Intelligence
  • Union nonparallel support vector machines framework with consistency, 2023, Applied Soft Computing

Frequent coauthors include Yuan-Hai Shao, Chun-Na Li, Wei-Jie Chen, Zhen Wang, and Jinxin Zhang.

Major venues where Nai-Yang Deng has published are:

  • Engineering Applications of Artificial Intelligence
  • Neural Networks
  • IEEE Transactions on Cybernetics
  • Applied Soft Computing
  • IEEE Access

Best Publications

  • Improvements on Twin Support Vector Machines

    Yuan-Hai Shao;Chun-Hua Zhang;Xiao-Bo Wang;Nai-Yang Deng

  • Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions

    Naiyang Deng;Yingjie Tian;Chunhua Zhang

  • Nonmonotonic trust region algorithm

    N. Y. Deng;Y. Xiao;F. J. Zhou

  • iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins.

    Yan Xu;Xiao-Jian Shao;Ling-Yun Wu;Nai-Yang Deng

  • iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition.

    Yan Xu;Xin Wen;Li-Shu Wen;Ling-Yun Wu

  • New Quasi-Newton Equation and Related Methods for Unconstrained Optimization

    J. Z. Zhang;N. Y. Deng;L. H. Chen

  • Nonparallel hyperplane support vector machine for binary classification problems

    Yuan-Hai Shao;Wei-Jie Chen;Nai-Yang Deng

  • An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

    Yuan-Hai Shao;Wei-Jie Chen;Jing-Jing Zhang;Zhen Wang

  • Drug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype data.

    Yongcui Wang;Shilong Chen;Naiyang Deng;Yong Wang;Yong Wang

  • Least squares recursive projection twin support vector machine for classification

    Yuan-Hai Shao;Nai-Yang Deng;Zhi-Min Yang

  • MLTSVM: A novel twin support vector machine to multi-label learning

    Wei-Jie Chen;Yuan-Hai Shao;Chun-Na Li;Nai-Yang Deng

  • An ε-twin support vector machine for regression

    Yuan-Hai Shao;Chun-Hua Zhang;Zhi-Min Yang;Ling Jing

  • Twin Support Vector Machine for Clustering

    Zhen Wang;Yuan-Hai Shao;Lan Bai;Nai-Yang Deng

  • A regularization for the projection twin support vector machine

    Yuan-Hai Shao;Zhen Wang;Wei-Jie Chen;Nai-Yang Deng

  • A coordinate descent margin based-twin support vector machine for classification

    Yuan-Hai Shao;Nai-Yang Deng

  • Robust L1-norm two-dimensional linear discriminant analysis

    Chun-Na Li;Yuan-Hai Shao;Nai-Yang Deng

  • Weighted linear loss twin support vector machine for large-scale classification

    Yuan-Hai Shao;Wei-Jie Chen;Zhen Wang;Chun-Na Li

  • Prediction of palmitoylation sites using the composition of k-spaced amino acid pairs.

    Xiao-Bo Wang;Ling-Yun Wu;Yong-Cui Wang;Nai-Yang Deng

  • Prediction of enzyme subfamily class via pseudo amino acid composition by incorporating the conjoint triad feature.

    Yong-Cui Wang;Xiao-Bo Wang;Zhi-Xia Yang;Nai-Yang Deng

  • iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity

    Yan Xu;Ya-Xin Ding;Jun Ding;Ya-Hui Lei

  • Research Article: Kernel-based data fusion improves the drug-protein interaction prediction

    Yong-Cui Wang;Chun-Hua Zhang;Nai-Yang Deng;Yong Wang

Frequent Co-Authors

Yuan-Hai Shao
Yuan-Hai Shao Hainan University
Yingjie Tian
Yingjie Tian University of Chinese Academy of Sciences
Yong Wang
Yong Wang Nanjing University
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Xiang-Sun Zhang
Xiang-Sun Zhang Chinese Academy of Sciences

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