Ling Jing

According to our database, Ling Jing authored at least 47 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unsupervised discriminative projection based on contrastive learning.

Jingwen Yang, Hongjie Zhang, Ruojin Zhou, Zhuangzhuang Hao, Ling Jing

Knowl. Based Syst., 2024

SCICL: A Sparse Classifiers Induced Contrastive Learning Method.

Ruojin Zhou, Hongjie Zhang, Bo Gong, Ling Jing

Inf. Sci., 2024

One-step incremental multi-view spectral clustering based on graph linkage learning.

Weijun Wang, Ling Jing

Neurocomputing, 2024

Relaxed multi-view discriminant analysis.

Hongjie Zhang, Junyan Tan, Yingyi Chen, Ling Jing, Jinxin Zhang

Eng. Appl. Artif. Intell., 2024

Cycle association prototype network for few-shot semantic segmentation.

Zhuangzhuang Hao, Ji Shao, Bo Gong, Jingwen Yang, Ling Jing, Yingyi Chen

Eng. Appl. Artif. Intell., 2024

TSD: Random feature query design for transformer-based shrimp detector.

Bo Gong, Ling Jing, Yingyi Chen

Comput. Electron. Agric., 2024

2023

Query-support semantic correlation mining for few-shot segmentation.

Ji Shao, Bo Gong, Kanyuan Dai, Daoliang Li, Ling Jing, Yingyi Chen

Eng. Appl. Artif. Intell., November, 2023

2022

Feature extraction framework based on contrastive learning with adaptive positive and negative samples.

Hongjie Zhang, Siyu Zhao, Wenwen Qiang, Yingyi Chen, Ling Jing

Neural Networks, 2022

Unified feature extraction framework based on contrastive learning.

Hongjie Zhang, Wenwen Qiang, Jinxin Zhang, Yingyi Chen, Ling Jing

Knowl. Based Syst., 2022

Double information preserving canonical correlation analysis.

Hongjie Zhang, Junyan Tan, Jinxin Zhang, Yingyi Chen, Ling Jing

Eng. Appl. Artif. Intell., 2022

TSVM-M3: Twin support vector machine based on multi-order moment matching for large-scale multi-class classification.

Wenwen Qiang, Hongjie Zhang, Jingxing Zhang, Ling Jing

Appl. Soft Comput., 2022

2021

Locality cross-view regression for feature extraction.

Jinxin Zhang, Hongjie Zhang, Wenwen Qiang, Naiyang Deng, Ling Jing

Eng. Appl. Artif. Intell., 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

Automated Measurement of Heart Girth for Pigs Using Two Kinect Depth Sensors.

Xinyue Zhang, Gang Liu, Ling Jing, Siyao Chen

Sensors, 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

Semisupervised Feature Extraction Based on Collaborative Label Propagation for Hyperspectral Images.

Jinxin Zhang, Peng Zhang, Baocheng Li, Ling Jing, Tongling Lv

IEEE Geosci. Remote. Sens. Lett., 2020

Cross-regression for multi-view feature extraction.

Jinxin Zhang, Ling Jing, Junyan Tan

Knowl. Based Syst., 2020

Collaborative weighted multi-view feature extraction.

Jinxin Zhang, Peng Zhang, Liming Liu, Naiyang Deng, Ling Jing

Eng. Appl. Artif. Intell., 2020

Multiset Canonical Correlations Analysis With Global Structure Preservation.

Hongjie Zhang, Jinxin Zhang, Yanwen Liu, Ling Jing

IEEE Access, 2020

2019

Discriminative information-based nonparallel support vector machine.

Qiuling Hou, Jinxin Zhang, Liming Liu, Yiju Wang, Ling Jing

Signal Process., 2019

Spatial Functional Data Analysis for the Spatial-Spectral Classification of Hyperspectral Imagery.

Meng Lv, James E. Fowler, Ling Jing

IEEE Geosci. Remote. Sens. Lett., 2019

Linear Discriminant Analysis Based on Kernel-Based Possibilistic C-Means for Hyperspectral Images.

Qiuling Hou, Yiju Wang, Ling Jing, Haibin Chen

IEEE Geosci. Remote. Sens. Lett., 2019

Fuzzy and interval-valued fuzzy nonparallel support vector machine.

Hongmei Ju, Qiuling Hou, Ling Jing

J. Intell. Fuzzy Syst., 2019

An Improved Fuzzy Multi-class Twin Support Vector Machine.

Hongmei Ju, Ling Jing

Proceedings of the 6th International Conference on Systems and Informatics, 2019

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

Global and local learning from positive and unlabeled examples.

Ting Ke, Ling Jing, Hui Lv, Lidong Zhang, Yaping Hu

Appl. Intell., 2018

2017

Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery.

Meng Lv, Qiuling Hou, Naiyang Deng, Ling Jing

IEEE Geosci. Remote. Sens. Lett., 2017

Application of image recognition in civil aviation security based on tensor learning.

Xinbin Zhao, Naiyang Deng, Ling Jing

J. Intell. Fuzzy Syst., 2017

2016

Semisupervised Dimension Reduction Based on Pairwise Constraint Propagation for Hyperspectral Images.

Weibao Du, Meng Lv, Qiuling Hou, Ling Jing

IEEE Geosci. Remote. Sens. Lett., 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

2014

A Novel Nonparallel Plane Proximal SVM for Imbalance Data Classification.

Bing Yang, Ling Jing

J. Softw., 2014

Building a Biased Least Squares Support Vector Machine Classifier for Positive and Unlabeled Learning.

Ting Ke, Lujia Song, Bing Yang, Xinbin Zhao, Ling Jing

J. Softw., 2014

2013

An ε-twin support vector machine for regression.

Yuan-Hai Shao, Chunhua Zhang, Zhi-Min Yang, Ling Jing, Nai-Yang Deng

Neural Comput. Appl., 2013

Constructing support vector machine ensemble with segmentation for imbalanced datasets.

Qian Li, Bing Yang, Yi Li, Nai-Yang Deng, Ling Jing

Neural Comput. Appl., 2013

2012

A parallel scheduling algorithm for reinforcement learning in large state space.

Quan Liu, Xudong Yang, Ling Jing, Jin Li, Jiao Li

Frontiers Comput. Sci., 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

Network Kernel SVM for microarray classification and gene sets selection.

Bing Yang, Junyan Tan, Naiyang Deng, Ling Jing

Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

Identification of oncogenic genes for colon adenocarcinoma from genomics data.

Changhe Fu, Ling Jing, Su Deng, Guangxu Jin

Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

2011

Business Strategies Selection of Aviation Passenger Transportation Enterprises Based on High Speed Railway Competition.

Li Yang, Ling Zhou, Ling Jing

Proceedings of the Advances in Computer Science, 2011

Discussion on the Routing Layout of Regional Comprehensive Transportation Corridors.

Jing-Yao Jiang, Ling Zhou, Ling Jing

Proceedings of the Advances in Computer Science, 2011

2009

An incremental dimensionality reduction method on discriminant information for pattern classification.

Xiaoqin Hu, Zhixia Yang, Ling Jing

Pattern Recognit. Lett., 2009

2007

Support Vector Machine Solving Freeform Curve and Surface Reconstruction Problem.

Zhixia Yang, Ling Jing

Int. J. Wavelets Multiresolution Inf. Process., 2007

2006

A New Proximal Support Vector Machine for Semi-supervised Classification.

Li Sun, Ling Jing, Xiaodong Xia

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

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

Support Vector Regression with Smoothing Property.

Zhixia Yang, Nong Wang, Ling Jing

Proceedings of the Advances in Natural Computation, First International Conference, 2005