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2020 – today
- 2025
[j12]Mengjun Huang, Yue Luo
, Jiwei He, Ling Zhen, Lianfan Wu, Yang Zhang:
Who are the best contributors? Designing a multimodal science communication interface based on the ECM, TAM and the Taguchi methods. Comput. Stand. Interfaces 92: 103921 (2025)- 2021
- [j11]Qing He, Hui Lu, Kun Yang, Ling Zhen, Siyu Yue, Yishan Li, Dara Entekhabi:
Global Patterns of Vegetation Response to Short-Term Surface Water Availability. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 8273-8286 (2021) - 2020
- [j10]Jinxin Zhang, Liming Liu, Ling Zhen, Ling Jing:
A unified robust framework for multi-view feature extraction with L2, 1-norm constraint. Neural Networks 128: 126-141 (2020) - [j9]Wenwen Qiang, Jinxin Zhang, Ling Zhen, Ling Jing:
Robust weighted linear loss twin multi-class support vector regression for large-scale classification. Signal Process. 170: 107449 (2020)
2010 – 2019
- 2018
- [j8]Qiuling Hou, Liming Liu, Ling Zhen, Ling Jing:
A novel projection nonparallel support vector machine for pattern classification. Eng. Appl. Artif. Intell. 75: 64-75 (2018) - [j7]Jinxin Zhang, Qiuling Hou, Ling Zhen, Ling Jing:
Locality similarity and dissimilarity preserving support vector machine. Int. J. Mach. Learn. Cybern. 9(10): 1663-1674 (2018) - 2016
- [j6]Qiuling Hou, Ling Zhen, Naiyang Deng, Ling Jing:
Novel Grouping Method-based support vector machine plus for structured data. Neurocomputing 211: 191-201 (2016) - [j5]Haifa Shi, Xinbin Zhao, Ling Zhen, Ling Jing:
Twin Bounded Support Tensor Machine for Classification. Int. J. Pattern Recognit. Artif. Intell. 30(1): 1650002:1-1650002:20 (2016) - 2015
- [j4]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): 399-407 (2015) - 2014
- [j3]Zhiqiang Zhang, Ling Zhen, Naiyang Deng, Junyan Tan:
Sparse least square twin support vector machine with adaptive norm. Appl. Intell. 41(4): 1097-1107 (2014) - [j2]Junyan Tan, Ling Zhen, Naiyang Deng, Zhiqiang Zhang:
Laplacian p-norm proximal support vector machine for semi-supervised classification. Neurocomputing 144: 151-158 (2014) - 2013
- [j1]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): 937-945 (2013) - 2012
- [c3]Ting Ke, Bing Yang, Ling Zhen, Junyan Tan, Yi Li, Ling Jing:
Building High-Performance Classifiers Using Positive and Unlabeled Examples for Text Classification. ISNN (2) 2012: 187-195
2000 – 2009
- 2009
- [c2]Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang:
Classification Algorithm Based on Feature Selection and Samples Selection. ISNN (2) 2009: 631-638 - 2005
- [c1]Ling Jing, Ling Zhen:
Reconstruction of Freeform Surface by Support Vector Regression. AIAI 2005: 397-403
Coauthor Index
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