Ling Jing

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 31

Top Topics

Positive And Unlabeled Examples

Hyperspectral Images

Feature Extraction

Top Venues

Eng. Appl. Artif. Intell.

IEEE Geosci. Remote. Sens. Lett.

Knowl. Based Syst.

Signal Process.

Publications

Ruojin Zhou, Hongjie Zhang, Bo Gong, Ling Jing
SCICL: A Sparse Classifiers Induced Contrastive Learning Method. Inf. Sci. 680 (2024)
Weijun Wang, Ling Jing
One-step incremental multi-view spectral clustering based on graph linkage learning. Neurocomputing 590 (2024)
Hongjie Zhang, Junyan Tan, Yingyi Chen, Ling Jing, Jinxin Zhang
Relaxed multi-view discriminant analysis. Eng. Appl. Artif. Intell. 132 (2024)
Bo Gong, Ling Jing, Yingyi Chen
TSD: Random feature query design for transformer-based shrimp detector. Comput. Electron. Agric. 221 (2024)
Jingwen Yang, Hongjie Zhang, Ruojin Zhou, Zhuangzhuang Hao, Ling Jing
Unsupervised discriminative projection based on contrastive learning. Knowl. Based Syst. 301 (2024)
Ji Shao, Bo Gong, Kanyuan Dai, Daoliang Li, Ling Jing, Yingyi Chen
Query-support semantic correlation mining for few-shot segmentation. Eng. Appl. Artif. Intell. 126 (2023)
Hongjie Zhang, Siyu Zhao, Wenwen Qiang, Yingyi Chen, Ling Jing
Feature extraction framework based on contrastive learning with adaptive positive and negative samples. Neural Networks 156 (2022)
Hongjie Zhang, Junyan Tan, Jinxin Zhang, Yingyi Chen, Ling Jing
Double information preserving canonical correlation analysis. Eng. Appl. Artif. Intell. 112 (2022)
Wenwen Qiang, Hongjie Zhang, Jingxing Zhang, Ling Jing
TSVM-M3: Twin support vector machine based on multi-order moment matching for large-scale multi-class classification. Appl. Soft Comput. 128 (2022)
Hongjie Zhang, Wenwen Qiang, Jinxin Zhang, Yingyi Chen, Ling Jing
Unified feature extraction framework based on contrastive learning. Knowl. Based Syst. 258 (2022)
Jinxin Zhang, Hongjie Zhang, Wenwen Qiang, Naiyang Deng, Ling Jing
Locality cross-view regression for feature extraction. Eng. Appl. Artif. Intell. 105 (2021)
Jinxin Zhang, Peng Zhang, Baocheng Li, Ling Jing, Tongling Lv
Semisupervised Feature Extraction Based on Collaborative Label Propagation for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17 (11) (2020)
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 (2020)
Hongjie Zhang, Jinxin Zhang, Yanwen Liu, Ling Jing
Multiset Canonical Correlations Analysis With Global Structure Preservation. IEEE Access 8 (2020)
Jinxin Zhang, Ling Jing, Junyan Tan
Cross-regression for multi-view feature extraction. Knowl. Based Syst. 200 (2020)
Jinxin Zhang, Peng Zhang, Liming Liu, Naiyang Deng, Ling Jing
Collaborative weighted multi-view feature extraction. Eng. Appl. Artif. Intell. 90 (2020)
Xinyue Zhang, Gang Liu, Ling Jing, Siyao Chen
Automated Measurement of Heart Girth for Pigs Using Two Kinect Depth Sensors. Sensors 20 (14) (2020)
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 (2020)
Qiuling Hou, Jinxin Zhang, Liming Liu, Yiju Wang, Ling Jing
Discriminative information-based nonparallel support vector machine. Signal Process. 162 (2019)
Hongmei Ju, Ling Jing
An Improved Fuzzy Multi-class Twin Support Vector Machine. ICSAI (2019)
Meng Lv, James E. Fowler, Ling Jing
Spatial Functional Data Analysis for the Spatial-Spectral Classification of Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 16 (6) (2019)
Qiuling Hou, Yiju Wang, Ling Jing, Haibin Chen
Linear Discriminant Analysis Based on Kernel-Based Possibilistic C-Means for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 16 (8) (2019)
Hongmei Ju, Qiuling Hou, Ling Jing
Fuzzy and interval-valued fuzzy nonparallel support vector machine. J. Intell. Fuzzy Syst. 36 (3) (2019)
Ting Ke, Ling Jing, Hui Lv, Lidong Zhang, Yaping Hu
Global and local learning from positive and unlabeled examples. Appl. Intell. 48 (8) (2018)
Jinxin Zhang, Qiuling Hou, Ling Zhen, Ling Jing
Locality similarity and dissimilarity preserving support vector machine. Int. J. Mach. Learn. Cybern. 9 (10) (2018)
Qiuling Hou, Liming Liu, Ling Zhen, Ling Jing
A novel projection nonparallel support vector machine for pattern classification. Eng. Appl. Artif. Intell. 75 (2018)
Xinbin Zhao, Naiyang Deng, Ling Jing
Application of image recognition in civil aviation security based on tensor learning. J. Intell. Fuzzy Syst. 33 (4) (2017)
Meng Lv, Qiuling Hou, Naiyang Deng, Ling Jing
Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 14 (4) (2017)
Weibao Du, Meng Lv, Qiuling Hou, Ling Jing
Semisupervised Dimension Reduction Based on Pairwise Constraint Propagation for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 13 (12) (2016)
Haifa Shi, Xinbin Zhao, Ling Zhen, Ling Jing
Twin Bounded Support Tensor Machine for Classification. Int. J. Pattern Recognit. Artif. Intell. 30 (1) (2016)
Qiuling Hou, Ling Zhen, Naiyang Deng, Ling Jing
Novel Grouping Method-based support vector machine plus for structured data. Neurocomputing 211 (2016)
Ting Ke, Lujia Song, Bing Yang, Xinbin Zhao, Ling Jing
Building a Biased Least Squares Support Vector Machine Classifier for Positive and Unlabeled Learning. J. Softw. 9 (6) (2014)
Bing Yang, Ling Jing
A Novel Nonparallel Plane Proximal SVM for Imbalance Data Classification. J. Softw. 9 (9) (2014)
Qian Li, Bing Yang, Yi Li, Nai-Yang Deng, Ling Jing
Constructing support vector machine ensemble with segmentation for imbalanced datasets. Neural Comput. Appl. 22 (Supplement-1) (2013)
Yuan-Hai Shao, Chunhua Zhang, Zhi-Min Yang, Ling Jing, Nai-Yang Deng
An ε-twin support vector machine for regression. Neural Comput. Appl. 23 (1) (2013)
Changhe Fu, Ling Jing, Su Deng, Guangxu Jin
Identification of oncogenic genes for colon adenocarcinoma from genomics data. ISB (2012)
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)
Quan Liu, Xudong Yang, Ling Jing, Jin Li, Jiao Li
A parallel scheduling algorithm for reinforcement learning in large state space. Frontiers Comput. Sci. 6 (6) (2012)
Bing Yang, Junyan Tan, Naiyang Deng, Ling Jing
Network Kernel SVM for microarray classification and gene sets selection. ISB (2012)
Li Yang, Ling Zhou, Ling Jing
Business Strategies Selection of Aviation Passenger Transportation Enterprises Based on High Speed Railway Competition. CSISE (3) (2011)
Jing-Yao Jiang, Ling Zhou, Ling Jing
Discussion on the Routing Layout of Regional Comprehensive Transportation Corridors. CSISE (3) (2011)
Xiaoqin Hu, Zhixia Yang, Ling Jing
An incremental dimensionality reduction method on discriminant information for pattern classification. Pattern Recognit. Lett. 30 (15) (2009)
Zhixia Yang, Ling Jing
Support Vector Machine Solving Freeform Curve and Surface Reconstruction Problem. Int. J. Wavelets Multiresolution Inf. Process. 5 (1) (2007)
Li Sun, Ling Jing, Xiaodong Xia
A New Proximal Support Vector Machine for Semi-supervised Classification. ISNN (1) (2006)
Zhixia Yang, Nong Wang, Ling Jing
Support Vector Regression with Smoothing Property. ICNC (1) (2005)
Ling Jing, Ling Zhen
Reconstruction of Freeform Surface by Support Vector Regression. AIAI (2005)