Support Vector Regression with Smoothing Property. - Zhixia Yang; Nong Wang; Ling Jing (ICNC (1), 2005)

Reconstruction of Freeform Surface by Support Vector Regression. - Ling Jing; Ling Zhen (AIAI, 2005)

A New Proximal Support Vector Machine for Semi-supervised Classification. - Li Sun; Ling Jing; Xiaodong Xia (ISNN (1), 2006)

Support Vector Machine Solving Freeform Curve and Surface Reconstruction Problem. - Zhixia Yang; Ling Jing (Int. J. Wavelets Multiresolution Inf. Process., 2007)

An incremental dimensionality reduction method on discriminant information for pattern classification. - Xiaoqin Hu; Zhixia Yang; Ling Jing (Pattern Recognit. Lett., 2009)

Discussion on the Routing Layout of Regional Comprehensive Transportation Corridors. - Jing-Yao Jiang; Ling Zhou; Ling Jing (CSISE (3), 2011)

Business Strategies Selection of Aviation Passenger Transportation Enterprises Based on High Speed Railway Competition. - Li Yang; Ling Zhou; Ling Jing (CSISE (3), 2011)

Identification of oncogenic genes for colon adenocarcinoma from genomics data. - Changhe Fu; Ling Jing; Su Deng; Guangxu Jin (ISB, 2012)

Network Kernel SVM for microarray classification and gene sets selection. - Bing Yang; Junyan Tan; Naiyang Deng; Ling Jing (ISB, 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 (ISNN (2), 2012)

A parallel scheduling algorithm for reinforcement learning in large state space. - Quan Liu 004; Xudong Yang; Ling Jing; Jin Li; Jiao Li (Frontiers Comput. Sci., 2012)

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)

An ε-twin support vector machine for regression. - Yuan-Hai Shao 001; Chunhua Zhang; Zhi-Min Yang; Ling Jing; Nai-Yang Deng (Neural Comput. Appl., 2013)

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)

A Novel Nonparallel Plane Proximal SVM for Imbalance Data Classification. - Bing Yang; Ling Jing (J. Softw., 2014)

Novel Grouping Method-based support vector machine plus for structured data. - Qiuling Hou; Ling Zhen; Naiyang Deng; Ling Jing (Neurocomputing, 2016)

Twin Bounded Support Tensor Machine for Classification. - Haifa Shi; Xinbin Zhao; Ling Zhen; Ling Jing (Int. J. Pattern Recognit. Artif. Intell., 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)

Application of image recognition in civil aviation security based on tensor learning. - Xinbin Zhao; Naiyang Deng; Ling Jing (J. Intell. Fuzzy Syst., 2017)

Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery. - Meng Lv; Qiuling Hou; Naiyang Deng; Ling Jing (IEEE Geosci. Remote. Sens. Lett., 2017)

Global and local learning from positive and unlabeled examples. - Ting Ke; Ling Jing; Hui Lv; Lidong Zhang; Yaping Hu (Appl. Intell., 2018)

A novel projection nonparallel support vector machine for pattern classification. - Qiuling Hou; Liming Liu; Ling Zhen; Ling Jing (Eng. Appl. Artif. Intell., 2018)

Locality similarity and dissimilarity preserving support vector machine. - Jinxin Zhang; Qiuling Hou; Ling Zhen; Ling Jing (Int. J. Mach. Learn. Cybern., 2018)

An Improved Fuzzy Multi-class Twin Support Vector Machine. - Hongmei Ju; Ling Jing (ICSAI, 2019)

Fuzzy and interval-valued fuzzy nonparallel support vector machine. - Hongmei Ju; Qiuling Hou; Ling Jing (J. Intell. Fuzzy Syst., 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)

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)

Discriminative information-based nonparallel support vector machine. - Qiuling Hou; Jinxin Zhang; Liming Liu; Yiju Wang; Ling Jing (Signal Process., 2019)

Multiset Canonical Correlations Analysis With Global Structure Preservation. - Hongjie Zhang; Jinxin Zhang; Yanwen Liu; Ling Jing (IEEE Access, 2020)

Collaborative weighted multi-view feature extraction. - Jinxin Zhang; Peng Zhang; Liming Liu; Naiyang Deng; Ling Jing (Eng. Appl. Artif. Intell., 2020)

Cross-regression for multi-view feature extraction. - Jinxin Zhang; Ling Jing; Junyan Tan (Knowl. Based Syst., 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)

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)

Automated Measurement of Heart Girth for Pigs Using Two Kinect Depth Sensors. - Xinyue Zhang; Gang Liu; Ling Jing; Siyao Chen (Sensors, 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)

Locality cross-view regression for feature extraction. - Jinxin Zhang; Hongjie Zhang; Wenwen Qiang; Naiyang Deng; Ling Jing (Eng. Appl. Artif. Intell., 2021)

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)

Double information preserving canonical correlation analysis. - Hongjie Zhang; Junyan Tan; Jinxin Zhang; Yingyi Chen; Ling Jing (Eng. Appl. Artif. Intell., 2022)

Unified feature extraction framework based on contrastive learning. - Hongjie Zhang; Wenwen Qiang; Jinxin Zhang; Yingyi Chen; Ling Jing (Knowl. Based Syst., 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)

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., 2023)

TSD: Random feature query design for transformer-based shrimp detector. - Bo Gong; Ling Jing; Yingyi Chen (Comput. Electron. Agric., 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)

Relaxed multi-view discriminant analysis. - Hongjie Zhang; Junyan Tan; Yingyi Chen; Ling Jing; Jinxin Zhang (Eng. Appl. Artif. Intell., 2024)

One-step incremental multi-view spectral clustering based on graph linkage learning. - Weijun Wang; Ling Jing (Neurocomputing, 2024)

SCICL: A Sparse Classifiers Induced Contrastive Learning Method. - Ruojin Zhou; Hongjie Zhang; Bo Gong; Ling Jing (Inf. Sci., 2024)

Unsupervised discriminative projection based on contrastive learning. - Jingwen Yang; Hongjie Zhang; Ruojin Zhou; Zhuangzhuang Hao; Ling Jing (Knowl. Based Syst., 2024)

Robust multi-view locality preserving regression embedding. - Ling Jing; Yi Li; Hongjie Zhang (PeerJ Comput. Sci., 2024)

Multi-view feature extraction based on dual contrastive heads. - Hongjie Zhang; Ling Jing (Neurocomputing, 2025)

Multi-view feature embedding via shared and specific structural contrastive learning. - Yi Li; Ruojin Zhou; Ling Jing; Hongjie Zhang (Knowl. Based Syst., 2025)

TCH: A novel multi-view dimensionality reduction method based on triple contrastive heads. - Hongjie Zhang; Ruojin Zhou; Siyu Zhao; Ling Jing; Yingyi Chen (Neural Networks, 2025)

Convolutional attention-based contrastive learning for partial label learning. - Bo Gong; Ruojin Zhou; Ling Jing (Appl. Intell., 2025)