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Ning Ye 0001
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Other persons with the same name
- Ning Ye — disambiguation page
- Ning Ye 0002
![0000-0002-6603-9157 [0000-0002-6603-9157]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png)
- Ning Ye 0003
![0000-0002-0119-1502 [0000-0002-0119-1502]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png)
- Ning Ye 0004
![0000-0002-3112-5274 [0000-0002-3112-5274]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png)
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2020 – today
- 2024
[j22]Hua Gao
, Peng Gao
, Ning Ye
:
A method for evaluating of RNA's coding potential using the interaction effects of open reading frames and high-energy scalograms. Comput. Biol. Medicine 168: 107752 (2024)- 2023
[j21]Fa Zhu
, Wenjie Zhang
, Xingchi Chen
, Xizhan Gao
, Ning Ye
:
Large margin distribution multi-class supervised novelty detection. Expert Syst. Appl. 224: 119937 (2023)
[j20]Junling Wang, Yupeng Wang
, Liping Liu, Hengfu Yin, Ning Ye
, Can Xu:
Weakly Supervised Forest Fire Segmentation in UAV Imagery Based on Foreground-Aware Pooling and Context-Aware Loss. Remote. Sens. 15(14): 3606 (2023)- 2022
[j19]Fa Zhu
, Junbin Gao
, Jian Yang, Ning Ye:
Neighborhood linear discriminant analysis. Pattern Recognit. 123: 108422 (2022)- 2020
[j18]Youxiang Zhu, Ruochen Li, Yin Yang, Ning Ye:
Learning Cascade Attention for fine-grained image classification. Neural Networks 122: 174-182 (2020)
2010 – 2019
- 2019
[j17]Youxiang Zhu, Weiming Sun, Xiangying Cao, Chunyan Wang, Dongyang Wu, Yin Yang, Ning Ye
:
TA-CNN: Two-way attention models in deep convolutional neural network for plant recognition. Neurocomputing 365: 191-200 (2019)
[j16]Chunyan Wang, Qiaolin Ye, Peng Luo, Ning Ye, Liyong Fu:
Robust capped L1-norm twin support vector machine. Neural Networks 114: 47-59 (2019)- 2018
[j15]Sheng Xu
, Shanshan Xu, Ning Ye, Fa Zhu
:
Automatic extraction of street trees' nonphotosynthetic components from MLS data. Int. J. Appl. Earth Obs. Geoinformation 69: 64-77 (2018)
[j14]Qiaolin Ye
, Jian Yang, Fan Liu, Chunxia Zhao, Ning Ye, Tongming Yin:
L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm. IEEE Trans. Circuits Syst. Video Technol. 28(1): 114-129 (2018)
[j13]Qiaolin Ye
, Henghao Zhao, Zechao Li
, Xubing Yang, Shangbing Gao, Tongming Yin, Ning Ye:
L1-Norm Distance Minimization-Based Fast Robust Twin Support Vector k-Plane Clustering. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4494-4503 (2018)- 2017
[j12]Fa Zhu
, Jian Yang, Sheng Xu
, Cong Gao, Ning Ye, Tongming Yin:
Incorporating neighbors' distribution knowledge into support vector machines. Soft Comput. 21(21): 6407-6420 (2017)- 2016
[j11]Fa Zhu
, Jian Yang, Cong Gao, Sheng Xu
, Ning Ye, Tongming Yin:
A weighted one-class support vector machine. Neurocomputing 189: 1-10 (2016)
[j10]Fa Zhu
, Jian Yang, Sheng Xu
, Cong Gao, Ning Ye, Tongming Yin:
Relative density degree induced boundary detection for one-class SVM. Soft Comput. 20(11): 4473-4485 (2016)- 2015
[j9]Qiaolin Ye, Ning Ye
, Tongming Yin:
Fast orthogonal linear discriminant analysis with application to image classification. Neurocomputing 158: 216-224 (2015)- 2014
[j8]Fa Zhu
, Jian Yang, Ning Ye, Cong Gao, Guobao Li, Tongming Yin:
Neighbors' distribution property and sample reduction for support vector machines. Appl. Soft Comput. 16: 201-209 (2014)
[j7]Fa Zhu
, Ning Ye, Wei Yu, Sheng Xu
, Guobao Li:
Boundary detection and sample reduction for one-class Support Vector Machines. Neurocomputing 123: 166-173 (2014)
[j6]Fa Zhu
, Ning Ye, Wei Yu, Sheng Xu, Guobao Li:
Erratum to "Boundary detection and sample reduction for one-class Support Vector Machines" [Neurocomputing 123 (2014) 166-173]. Neurocomputing 135: 117 (2014)
[j5]Qiaolin Ye, Ning Ye, Chunxia Zhao, Tongming Yin, Haofeng Zhang:
Flexible orthogonal semisupervised learning for dimension reduction with image classification. Neurocomputing 144: 417-426 (2014)
[j4]Qiaolin Ye, Ning Ye, Tongming Yin:
Enhanced multi-weight vector projection support vector machine. Pattern Recognit. Lett. 42: 91-100 (2014)
[c3]Qiaolin Ye, Ning Ye, Haofeng Zhang, Chunxia Zhao:
Fast orthogonal linear discriminant analysis with applications to image classification. IJCNN 2014: 299-306- 2012
[j3]Qiaolin Ye, Ning Ye, Shangbing Gao:
Density-based weighting multi-surface least squares classification with its applications. Knowl. Inf. Syst. 33(2): 289-308 (2012)- 2011
[j2]Qiaolin Ye, Chunxia Zhao, Haofeng Zhang, Ning Ye:
Distance difference and linear programming nonparallel plane classifier. Expert Syst. Appl. 38(8): 9425-9433 (2011)
[j1]Shangbing Gao, Qiaolin Ye, Ning Ye:
1-Norm least squares twin support vector machines. Neurocomputing 74(17): 3590-3597 (2011)
[c2]Sheng Xu, Shanshan Xu, Ning Ye:
Research on the Protein Secondary Prediction Using a Symmetric Binding Form of Organization, . AICI (1) 2011: 317-324
[c1]Sheng Xu
, Ning Ye, Fa Zhu
, Shanshan Xu, Liuliu Zhou:
Research on a RBF Neural Network in Stereo Matching. ICONIP (3) 2011: 284-291
Coauthor Index

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last updated on 2025-12-23 02:09 CET by the dblp team
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