Ling Jing

53 papers Misc 1Journal 44Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Self-supervised learning with push-away strategies for various negative samples.
Eng. Appl. Artif. Intell.
Ruojin Zhou, Bo Gong, Jingwen Yang, Yingyi Chen, Ling Jing
2025 J jnl
Convolutional attention-based contrastive learning for partial label learning.
Appl. Intell.
Bo Gong, Ruojin Zhou, Ling Jing
2025 J jnl
Multi-view feature embedding via shared and specific structural contrastive learning.
Knowl. Based Syst.
Yi Li, Ruojin Zhou, Ling Jing, Hongjie Zhang
2025 J jnl
Multi-view feature extraction based on dual contrastive heads.
Neurocomputing
Hongjie Zhang, Ling Jing
2025 J jnl
TCH: A novel multi-view dimensionality reduction method based on triple contrastive heads.
Neural Networks
Hongjie Zhang, Ruojin Zhou, Siyu Zhao, Ling Jing, Yingyi Chen
2024 J jnl
Cycle association prototype network for few-shot semantic segmentation.
Eng. Appl. Artif. Intell.
Zhuangzhuang Hao, Ji Shao, Bo Gong, Jingwen Yang, Ling Jing, Yingyi Chen
2024 J jnl
One-step incremental multi-view spectral clustering based on graph linkage learning.
Neurocomputing
Weijun Wang, Ling Jing
2024 J jnl
Relaxed multi-view discriminant analysis.
Eng. Appl. Artif. Intell.
Hongjie Zhang, Junyan Tan, Yingyi Chen, Ling Jing, Jinxin Zhang
2024 J jnl
Robust multi-view locality preserving regression embedding.
PeerJ Comput. Sci.
Ling Jing, Yi Li, Hongjie Zhang
2024 J jnl
SCICL: A Sparse Classifiers Induced Contrastive Learning Method.
Inf. Sci.
Ruojin Zhou, Hongjie Zhang, Bo Gong, Ling Jing
2024 J jnl
TSD: Random feature query design for transformer-based shrimp detector.
Comput. Electron. Agric.
Bo Gong, Ling Jing, Yingyi Chen
2024 J jnl
Unsupervised discriminative projection based on contrastive learning.
Knowl. Based Syst.
Jingwen Yang, Hongjie Zhang, Ruojin Zhou, Zhuangzhuang Hao, Ling Jing
2023 J jnl
Query-support semantic correlation mining for few-shot segmentation.
Eng. Appl. Artif. Intell.
Ji Shao, Bo Gong, Kanyuan Dai, Daoliang Li, Ling Jing, Yingyi Chen
2022 J jnl
Double information preserving canonical correlation analysis.
Eng. Appl. Artif. Intell.
Hongjie Zhang, Junyan Tan, Jinxin Zhang, Yingyi Chen, Ling Jing
2022 J jnl
Feature extraction framework based on contrastive learning with adaptive positive and negative samples.
Neural Networks
Hongjie Zhang, Siyu Zhao, Wenwen Qiang, Yingyi Chen, Ling Jing
2022 J jnl
TSVM-M3: Twin support vector machine based on multi-order moment matching for large-scale multi-class classification.
Appl. Soft Comput.
Wenwen Qiang, Hongjie Zhang, Jingxing Zhang, Ling Jing
2022 J jnl
Unified feature extraction framework based on contrastive learning.
Knowl. Based Syst.
Hongjie Zhang, Wenwen Qiang, Jinxin Zhang, Yingyi Chen, Ling Jing
2021 J jnl
Locality cross-view regression for feature extraction.
Eng. Appl. Artif. Intell.
Jinxin Zhang, Hongjie Zhang, Wenwen Qiang, Naiyang Deng, Ling Jing
2020 J jnl
A unified robust framework for multi-view feature extraction with L2, 1-norm constraint.
Neural Networks
Jinxin Zhang, Liming Liu, Ling Zhen, Ling Jing
2020 J jnl
Automated Measurement of Heart Girth for Pigs Using Two Kinect Depth Sensors.
Sensors
Xinyue Zhang, Gang Liu, Ling Jing, Siyao Chen
2020 J jnl
Collaborative weighted multi-view feature extraction.
Eng. Appl. Artif. Intell.
Jinxin Zhang, Peng Zhang, Liming Liu, Naiyang Deng, Ling Jing
2020 J jnl
Cross-regression for multi-view feature extraction.
Knowl. Based Syst.
Jinxin Zhang, Ling Jing, Junyan Tan
2020 J jnl
Multiset Canonical Correlations Analysis With Global Structure Preservation.
IEEE Access
Hongjie Zhang, Jinxin Zhang, Yanwen Liu, Ling Jing
2020 J jnl
Robust weighted linear loss twin multi-class support vector regression for large-scale classification.
Signal Process.
Wenwen Qiang, Jinxin Zhang, Ling Zhen, Ling Jing
2020 J jnl
Semisupervised Feature Extraction Based on Collaborative Label Propagation for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett.
Jinxin Zhang, Peng Zhang, Baocheng Li, Ling Jing, Tongling Lv
2019 — conf
An Improved Fuzzy Multi-class Twin Support Vector Machine.
ICSAI
Hongmei Ju, Ling Jing
2019 J jnl
Discriminative information-based nonparallel support vector machine.
Signal Process.
Qiuling Hou, Jinxin Zhang, Liming Liu, Yiju Wang, Ling Jing
2019 J jnl
Fuzzy and interval-valued fuzzy nonparallel support vector machine.
J. Intell. Fuzzy Syst.
Hongmei Ju, Qiuling Hou, Ling Jing
2019 J jnl
Linear Discriminant Analysis Based on Kernel-Based Possibilistic C-Means for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett.
Qiuling Hou, Yiju Wang, Ling Jing, Haibin Chen
2019 J jnl
Spatial Functional Data Analysis for the Spatial-Spectral Classification of Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett.
Meng Lv, James E. Fowler, Ling Jing
2018 J jnl
A novel projection nonparallel support vector machine for pattern classification.
Eng. Appl. Artif. Intell.
Qiuling Hou, Liming Liu, Ling Zhen, Ling Jing
2018 J jnl
Global and local learning from positive and unlabeled examples.
Appl. Intell.
Ting Ke, Ling Jing, Hui Lv, Lidong Zhang, Yaping Hu
2018 J jnl
Locality similarity and dissimilarity preserving support vector machine.
Int. J. Mach. Learn. Cybern.
Jinxin Zhang, Qiuling Hou, Ling Zhen, Ling Jing
2017 J jnl
Application of image recognition in civil aviation security based on tensor learning.
J. Intell. Fuzzy Syst.
Xinbin Zhao, Naiyang Deng, Ling Jing
2017 J jnl
Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett.
Meng Lv, Qiuling Hou, Naiyang Deng, Ling Jing
2016 J jnl
Novel Grouping Method-based support vector machine plus for structured data.
Neurocomputing
Qiuling Hou, Ling Zhen, Naiyang Deng, Ling Jing
2016 J jnl
Semisupervised Dimension Reduction Based on Pairwise Constraint Propagation for Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett.
Weibao Du, Meng Lv, Qiuling Hou, Ling Jing
2016 J jnl
Twin Bounded Support Tensor Machine for Classification.
Int. J. Pattern Recognit. Artif. Intell.
Haifa Shi, Xinbin Zhao, Ling Zhen, Ling Jing
2014 J jnl
A Novel Nonparallel Plane Proximal SVM for Imbalance Data Classification.
J. Softw.
Bing Yang, Ling Jing
2014 J jnl
Building a Biased Least Squares Support Vector Machine Classifier for Positive and Unlabeled Learning.
J. Softw.
Ting Ke, Lujia Song, Bing Yang, Xinbin Zhao, Ling Jing
2013 J jnl
An ε-twin support vector machine for regression.
Neural Comput. Appl.
Yuan-Hai Shao, Chunhua Zhang, Zhi-Min Yang, Ling Jing, Nai-Yang Deng
2013 J jnl
Constructing support vector machine ensemble with segmentation for imbalanced datasets.
Neural Comput. Appl.
Qian Li, Bing Yang, Yi Li, Nai-Yang Deng, Ling Jing
2012 J jnl
A parallel scheduling algorithm for reinforcement learning in large state space.
Frontiers Comput. Sci.
Quan Liu, Xudong Yang, Ling Jing, Jin Li, Jiao Li
2012 — conf
Building High-Performance Classifiers Using Positive and Unlabeled Examples for Text Classification.
ISNN (2)
Ting Ke, Bing Yang, Ling Zhen, Junyan Tan, Yi Li, Ling Jing
2012 — conf
Identification of oncogenic genes for colon adenocarcinoma from genomics data.
ISB
Changhe Fu, Ling Jing, Su Deng, Guangxu Jin
2012 — conf
Network Kernel SVM for microarray classification and gene sets selection.
ISB
Bing Yang, Junyan Tan, Naiyang Deng, Ling Jing
2011 — conf
Business Strategies Selection of Aviation Passenger Transportation Enterprises Based on High Speed Railway Competition.
CSISE (3)
Li Yang, Ling Zhou, Ling Jing
2011 — conf
Discussion on the Routing Layout of Regional Comprehensive Transportation Corridors.
CSISE (3)
Jing-Yao Jiang, Ling Zhou, Ling Jing
2009 J jnl
An incremental dimensionality reduction method on discriminant information for pattern classification.
Pattern Recognit. Lett.
Xiaoqin Hu, Zhixia Yang, Ling Jing
2007 J jnl
Support Vector Machine Solving Freeform Curve and Surface Reconstruction Problem.
Int. J. Wavelets Multiresolution Inf. Process.
Zhixia Yang, Ling Jing
2006 — conf
A New Proximal Support Vector Machine for Semi-supervised Classification.
ISNN (1)
Li Sun, Ling Jing, Xiaodong Xia
2005 Misc conf
Reconstruction of Freeform Surface by Support Vector Regression.
AIAI
Ling Jing, Ling Zhen
2005 — conf
Support Vector Regression with Smoothing Property.
ICNC (1)
Zhixia Yang, Nong Wang, Ling Jing