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2020 – today
- 2024
[j38]Bo Gong, Ling Jing
, Yingyi Chen:
TSD: Random feature query design for transformer-based shrimp detector. Comput. Electron. Agric. 221: 108949 (2024)- [j37]Hongjie Zhang, Junyan Tan, Yingyi Chen, Ling Jing, Jinxin Zhang:
Relaxed multi-view discriminant analysis. Eng. Appl. Artif. Intell. 132: 107958 (2024) - [j36]Zhuangzhuang Hao, Ji Shao, Bo Gong, Jingwen Yang, Ling Jing, Yingyi Chen:
Cycle association prototype network for few-shot semantic segmentation. Eng. Appl. Artif. Intell. 138: 109309 (2024) - [j35]Weijun Wang, Ling Jing:
One-step incremental multi-view spectral clustering based on graph linkage learning. Neurocomputing 590: 127740 (2024) - [j34]Ruojin Zhou, Hongjie Zhang, Bo Gong, Ling Jing:
SCICL: A Sparse Classifiers Induced Contrastive Learning Method. Inf. Sci. 680: 121160 (2024) - [j33]Jingwen Yang, Hongjie Zhang, Ruojin Zhou, Zhuangzhuang Hao, Ling Jing:
Unsupervised discriminative projection based on contrastive learning. Knowl. Based Syst. 301: 112296 (2024) - 2023
- [j32]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: 106797 (2023) - 2022
- [j31]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: 109506 (2022) - [j30]Hongjie Zhang, Junyan Tan, Jinxin Zhang, Yingyi Chen, Ling Jing:
Double information preserving canonical correlation analysis. Eng. Appl. Artif. Intell. 112: 104870 (2022) - [j29]Hongjie Zhang, Wenwen Qiang, Jinxin Zhang, Yingyi Chen, Ling Jing:
Unified feature extraction framework based on contrastive learning. Knowl. Based Syst. 258: 110028 (2022) - [j28]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: 244-257 (2022) - 2021
- [j27]Jinxin Zhang, Hongjie Zhang, Wenwen Qiang, Naiyang Deng, Ling Jing:
Locality cross-view regression for feature extraction. Eng. Appl. Artif. Intell. 105: 104414 (2021) - 2020
- [j26]Hongjie Zhang, Jinxin Zhang, Yanwen Liu, Ling Jing:
Multiset Canonical Correlations Analysis With Global Structure Preservation. IEEE Access 8: 53595-53603 (2020) - [j25]Jinxin Zhang, Peng Zhang, Liming Liu, Naiyang Deng, Ling Jing:
Collaborative weighted multi-view feature extraction. Eng. Appl. Artif. Intell. 90: 103527 (2020) - [j24]Jinxin Zhang, Ling Jing, Junyan Tan:
Cross-regression for multi-view feature extraction. Knowl. Based Syst. 200: 105997 (2020) - [j23]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): 1958-1962 (2020) - [j22]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: 126-141 (2020) - [j21]Xinyue Zhang, Gang Liu, Ling Jing, Siyao Chen:
Automated Measurement of Heart Girth for Pigs Using Two Kinect Depth Sensors. Sensors 20(14): 3848 (2020) - [j20]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: 107449 (2020)
2010 – 2019
- 2019
- [j19]Hongmei Ju, Qiuling Hou, Ling Jing:
Fuzzy and interval-valued fuzzy nonparallel support vector machine. J. Intell. Fuzzy Syst. 36(3): 2677-2690 (2019) - [j18]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): 942-946 (2019) - [j17]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): 1259-1263 (2019) - [j16]Qiuling Hou, Jinxin Zhang, Liming Liu, Yiju Wang, Ling Jing:
Discriminative information-based nonparallel support vector machine. Signal Process. 162: 169-179 (2019) - [c9]Hongmei Ju, Ling Jing:
An Improved Fuzzy Multi-class Twin Support Vector Machine. ICSAI 2019: 393-397 - 2018
- [j15]Ting Ke, Ling Jing, Hui Lv, Lidong Zhang, Yaping Hu:
Global and local learning from positive and unlabeled examples. Appl. Intell. 48(8): 2373-2392 (2018) - [j14]Qiuling Hou, Liming Liu, Ling Zhen, Ling Jing:
A novel projection nonparallel support vector machine for pattern classification. Eng. Appl. Artif. Intell. 75: 64-75 (2018) - [j13]Jinxin Zhang, Qiuling Hou, Ling Zhen, Ling Jing:
Locality similarity and dissimilarity preserving support vector machine. Int. J. Mach. Learn. Cybern. 9(10): 1663-1674 (2018) - 2017
- [j12]Xinbin Zhao, Naiyang Deng, Ling Jing:
Application of image recognition in civil aviation security based on tensor learning. J. Intell. Fuzzy Syst. 33(4): 2145-2157 (2017) - [j11]Meng Lv, Qiuling Hou, Naiyang Deng, Ling Jing:
Collaborative Discriminative Manifold Embedding for Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 14(4): 569-573 (2017) - 2016
- [j10]Qiuling Hou, Ling Zhen, Naiyang Deng, Ling Jing:
Novel Grouping Method-based support vector machine plus for structured data. Neurocomputing 211: 191-201 (2016) - [j9]Haifa Shi, Xinbin Zhao, Ling Zhen, Ling Jing:
Twin Bounded Support Tensor Machine for Classification. Int. J. Pattern Recognit. Artif. Intell. 30(1): 1650002:1-1650002:20 (2016) - [j8]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): 1880-1884 (2016) - 2014
- [j7]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): 1494-1502 (2014) - [j6]Bing Yang, Ling Jing:
A Novel Nonparallel Plane Proximal SVM for Imbalance Data Classification. J. Softw. 9(9): 2384-2392 (2014) - 2013
- [j5]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): 249-256 (2013) - [j4]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): 175-185 (2013) - 2012
- [j3]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): 631-646 (2012) - [c8]Bing Yang, Junyan Tan, Naiyang Deng, Ling Jing:
Network Kernel SVM for microarray classification and gene sets selection. ISB 2012: 101-105 - [c7]Changhe Fu, Ling Jing, Su Deng, Guangxu Jin:
Identification of oncogenic genes for colon adenocarcinoma from genomics data. ISB 2012: 263-266 - [c6]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: 187-195 - 2011
- [c5]Li Yang, Ling Zhou, Ling Jing:
Business Strategies Selection of Aviation Passenger Transportation Enterprises Based on High Speed Railway Competition. CSISE (3) 2011: 309-313 - [c4]Jing-Yao Jiang, Ling Zhou, Ling Jing:
Discussion on the Routing Layout of Regional Comprehensive Transportation Corridors. CSISE (3) 2011: 315-319
2000 – 2009
- 2009
- [j2]Xiaoqin Hu, Zhixia Yang, Ling Jing:
An incremental dimensionality reduction method on discriminant information for pattern classification. Pattern Recognit. Lett. 30(15): 1416-1423 (2009) - 2007
- [j1]Zhixia Yang, Ling Jing:
Support Vector Machine Solving Freeform Curve and Surface Reconstruction Problem. Int. J. Wavelets Multiresolution Inf. Process. 5(1): 159-172 (2007) - 2006
- [c3]Li Sun, Ling Jing, Xiaodong Xia:
A New Proximal Support Vector Machine for Semi-supervised Classification. ISNN (1) 2006: 1076-1082 - 2005
- [c2]Zhixia Yang, Nong Wang, Ling Jing:
Support Vector Regression with Smoothing Property. ICNC (1) 2005: 217-220 - [c1]Ling Jing, Ling Zhen:
Reconstruction of Freeform Surface by Support Vector Regression. AIAI 2005: 397-403
Coauthor Index
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