Ling Zhen

According to our database, Ling Zhen authored at least 14 papers between 2005 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Global Patterns of Vegetation Response to Short-Term Surface Water Availability.

Qing He, Hui Lu, Kun Yang, Ling Zhen, Siyu Yue, Yishan Li, Dara Entekhabi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020

Robust weighted linear loss twin multi-class support vector regression for large-scale classification.

Wenwen Qiang, Jinxin Zhang, Ling Zhen, Ling Jing

Signal Process., 2020

A unified robust framework for multi-view feature extraction with L2, 1-norm constraint.

Jinxin Zhang, Liming Liu, Ling Zhen, Ling Jing

Neural Networks, 2020

2018

Locality similarity and dissimilarity preserving support vector machine.

Jinxin Zhang, Qiuling Hou, Ling Zhen, Ling Jing

Int. J. Mach. Learn. Cybern., 2018

A novel projection nonparallel support vector machine for pattern classification.

Qiuling Hou, Liming Liu, Ling Zhen, Ling Jing

Eng. Appl. Artif. Intell., 2018

2016

Twin Bounded Support Tensor Machine for Classification.

Haifa Shi, Xinbin Zhao, Ling Zhen, Ling Jing

Int. J. Pattern Recognit. Artif. Intell., 2016

Novel Grouping Method-based support vector machine plus for structured data.

Qiuling Hou, Ling Zhen, Naiyang Deng, Ling Jing

Neurocomputing, 2016

2015

Manifold proximal support vector machine with mixed-norm for semi-supervised classification.

Zhiqiang Zhang, Ling Zhen, Naiyang Deng, Junyan Tan

Neural Comput. Appl., 2015

2014

Laplacian p-norm proximal support vector machine for semi-supervised classification.

Junyan Tan, Ling Zhen, Naiyang Deng, Zhiqiang Zhang

Neurocomputing, 2014

Sparse least square twin support vector machine with adaptive norm.

Zhiqiang Zhang, Ling Zhen, Naiyang Deng, Junyan Tan

Appl. Intell., 2014

2013

Adaptive feature selection via a new version of support vector machine.

Junyan Tan, Zhiqiang Zhang, Ling Zhen, Chunhua Zhang, Naiyang Deng

Neural Comput. Appl., 2013

2012

Building High-Performance Classifiers Using Positive and Unlabeled Examples for Text Classification.

Ting Ke, Bing Yang, Ling Zhen, Junyan Tan, Yi Li, Ling Jing

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2009

Classification Algorithm Based on Feature Selection and Samples Selection.

Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang

Proceedings of the Advances in Neural Networks, 2009

2005

Reconstruction of Freeform Surface by Support Vector Regression.

Ling Jing, Ling Zhen

Proceedings of the Artificial Intelligence Applications and Innovations - IFIP TC12 WG12.5, 2005