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ORCIDPing Zhong 0003
Person information
- affiliation: China Agricultural University, College of Science, Beijing, China
Other persons with the same name
- Ping Zhong — disambiguation page
- Ping Zhong 0001
![[0000-0002-8686-3928]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8686-3928")
— National University of Defense Technology, ATR Lab. School of Electronics Science and Engineering, Changsha, China - Ping Zhong 0002 — Central South University, School of Informaion Science and Engineering, Changsha, China
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Journal Articles
- 2024
[j50]Yang Qu, Liran Yang, Ping Zhong, Qiuyue Li:
OSTNet: overlapping splitting transformer network with integrated density loss for vehicle density estimation. Appl. Intell. 54(19): 8856-8875 (2024)- [j49]Hanru Bai, Ming Huang, Ping Zhong:
Precise feature selection via non-convex regularized graph embedding and self-representation for unsupervised learning. Knowl. Based Syst. 296: 111900 (2024) - [j48]Yuqing Chen, Heng Zhou, Zhi Wang, Ping Zhong:
Heterogeneous domain adaptation by class centroid matching and local discriminative structure preservation. Neural Comput. Appl. 36(21): 12865-12881 (2024) - [j47]Heng Zhou, Ping Zhong, Daoliang Li, Zhencai Shen:
Unsupervised domain adaptation with weak source domain labels via bidirectional subdomain alignment. Neural Networks 178: 106418 (2024) - [j46]Yiming Xue, Jiaxuan Wu, Ronghua Ji, Ping Zhong, Juan Wen, Wanli Peng:
Adaptive Domain-Invariant Feature Extraction for Cross-Domain Linguistic Steganalysis. IEEE Trans. Inf. Forensics Secur. 19: 920-933 (2024) - 2023
- [j45]Wenxu Wang, Guoxu Zhang, Ping Zhong:
Domain adaptation with contrastive and adversarial oriented transferable semantic augmentation. Knowl. Based Syst. 282: 111092 (2023) - [j44]Wenxu Wang, Zhencai Shen, Daoliang Li, Ping Zhong, Yingyi Chen:
Probability-Based Graph Embedding Cross-Domain and Class Discriminative Feature Learning for Domain Adaptation. IEEE Trans. Image Process. 32: 72-87 (2023) - 2022
- [j43]Zhi Wang, Min Men, Ping Zhong:
Re-weighting regression and sparsity regularization for multi-view classification. Appl. Intell. 52(7): 7442-7458 (2022) - [j42]Zhi Wang, Qiang Lin, Yingyi Chen, Ping Zhong:
Block-based multi-view classification via view-based L2, p sparse representation and adaptive view fusion. Eng. Appl. Artif. Intell. 116: 105337 (2022) - [j41]Qiang Lin, Min Men, Liran Yang, Ping Zhong:
A supervised multi-view feature selection method based on locally sparse regularization and block computing. Inf. Sci. 582: 146-166 (2022) - [j40]Yiming Xue, Lingzhi Kong, Wan-li Peng, Ping Zhong, Juan Wen:
An effective linguistic steganalysis framework based on hierarchical mutual learning. Inf. Sci. 586: 140-154 (2022) - [j39]Zhi Wang, Jing Zhong, Yuqing Chen, Ping Zhong:
Sparse robust multiview feature selection via adaptive-weighting strategy. Int. J. Mach. Learn. Cybern. 13(5): 1387-1408 (2022) - [j38]Qiang Lin, Zhi Wang, Yingyi Chen, Ping Zhong:
Supervised multi-view classification via the sparse learning joint the weighted elastic loss. Signal Process. 191: 108362 (2022) - [j37]Zhi Wang, Zhencai Shen, Hui Zou, Ping Zhong, Yingyi Chen:
Retargeted multi-view classification via structured sparse learning. Signal Process. 197: 108538 (2022) - [j36]Yimin Xu, Tengyun Zhao, Ping Zhong:
Small-Scale Linguistic Steganalysis for Multi-Concealed Scenarios. IEEE Signal Process. Lett. 29: 130-134 (2022) - [j35]Xuejing Zhou, Wanli Peng, Boya Yang, Juan Wen, Yiming Xue, Ping Zhong:
Linguistic Steganography Based on Adaptive Probability Distribution. IEEE Trans. Dependable Secur. Comput. 19(5): 2982-2997 (2022) - 2021
- [j34]Huimin Pei, Qiang Lin, Liran Yang, Ping Zhong:
A novel semi-supervised support vector machine with asymmetric squared loss. Adv. Data Anal. Classif. 15(1): 159-191 (2021) - [j33]Yunhao Zhang, Jiajun Yu, Xinyi Dong, Ping Zhong:
Multi-task support vector machine with pinball loss. Eng. Appl. Artif. Intell. 106: 104458 (2021) - [j32]Boya Yang, Wanli Peng, Yiming Xue, Ping Zhong:
A Generation-based Text Steganography by Maintaining Consistency of Probability Distribution. KSII Trans. Internet Inf. Syst. 15(11): 4184-4202 (2021) - [j31]Qiang Lin, Liran Yang, Ping Zhong, Hui Zou:
Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion. Knowl. Based Syst. 229: 107331 (2021) - [j30]Jing Zhong, Ping Zhong, Yimin Xu, Liran Yang:
Robust multiview feature selection via view weighted. Multim. Tools Appl. 80(1): 1503-1527 (2021) - [j29]Liran Yang, Min Men, Yiming Xue, Juan Wen, Ping Zhong:
Transfer subspace learning based on structure preservation for JPEG image mismatched steganalysis. Signal Process. Image Commun. 90: 116052 (2021) - 2020
- [j28]Min Men, Ping Zhong, Zhi Wang, Qiang Lin:
Distributed learning for supervised multiview feature selection. Appl. Intell. 50(9): 2749-2769 (2020) - [j27]Kuaini Wang, Huimin Pei, Jinde Cao, Ping Zhong:
Robust regularized extreme learning machine for regression with non-convex loss function via DC program. J. Frankl. Inst. 357(11): 7069-7091 (2020) - [j26]Liran Yang, Ping Zhong:
Discriminative and informative joint distribution adaptation for unsupervised domain adaptation. Knowl. Based Syst. 207: 106394 (2020) - [j25]Liran Yang, Min Men, Yiming Xue, Ping Zhong:
Low-rank representation-based regularized subspace learning method for unsupervised domain adaptation. Multim. Tools Appl. 79(3-4): 3031-3047 (2020) - [j24]Liran Yang, Ping Zhong:
Robust adaptation regularization based on within-class scatter for domain adaptation. Neural Networks 124: 60-74 (2020) - 2019
- [j23]Yiming Xue, Kai Mu, Yuzhu Wang, Yao Chen, Ping Zhong, Juan Wen:
Robust Speech Steganography Using Differential SVD. IEEE Access 7: 153724-153733 (2019) - [j22]Ping Zhong, Mengdi Li, Kai Mu, Juan Wen, Yiming Xue:
Image Steganalysis in High-Dimensional Feature Spaces with Proximal Support Vector Machine. Int. J. Digit. Crime Forensics 11(1): 78-89 (2019) - [j21]Qiang Lin, Yiming Xue, Juan Wen, Ping Zhong:
A sharing multi-view feature selection method via Alternating Direction Method of Multipliers. Neurocomputing 333: 124-134 (2019) - [j20]Juan Wen, Xuejing Zhou, Mengdi Li, Ping Zhong, Yiming Xue:
A novel natural language steganographic framework based on image description neural network. J. Vis. Commun. Image Represent. 61: 157-169 (2019) - [j19]Jing Zhong, Nan Wang, Qiang Lin, Ping Zhong:
Weighted feature selection via discriminative sparse multi-view learning. Knowl. Based Syst. 178: 132-148 (2019) - [j18]Yiming Xue, Liran Yang, Juan Wen, Shaozhang Niu, Ping Zhong:
A subspace learning-based method for JPEG mismatched steganalysis. Multim. Tools Appl. 78(7): 8151-8166 (2019) - [j17]Nan Wang, Yiming Xue, Qiang Lin, Ping Zhong:
Structured sparse multi-view feature selection based on weighted hinge loss. Multim. Tools Appl. 78(11): 15455-15481 (2019) - [j16]Mengdi Li, Kai Mu, Ping Zhong, Juan Wen, Yiming Xue:
Generating steganographic image description by dynamic synonym substitution. Signal Process. 164: 193-201 (2019) - [j15]Kuaini Wang, Huimin Pei, Xiaoshuai Ding, Ping Zhong:
Robust Proximal Support Vector Regression Based on Maximum Correntropy Criterion. Sci. Program. 2019: 7102946:1-7102946:11 (2019) - [j14]Yiming Xue, Jie Zhou, Hao Zeng, Ping Zhong, Juan Wen:
An adaptive steganographic scheme for H.264/AVC video with distortion optimization. Signal Process. Image Commun. 76: 22-30 (2019) - [j13]Juan Wen, Xuejing Zhou, Ping Zhong, Yiming Xue:
Convolutional Neural Network Based Text Steganalysis. IEEE Signal Process. Lett. 26(3): 460-464 (2019) - [j12]Yan Niu, Juan Wen, Ping Zhong, Yiming Xue:
A Hybrid R-BILSTM-C Neural Network Based Text Steganalysis. IEEE Signal Process. Lett. 26(12): 1907-1911 (2019) - 2018
- [j11]Liyun Lu, Qiang Lin, Huimin Pei, Ping Zhong:
The aLS-SVM based multi-task learning classifiers. Appl. Intell. 48(8): 2393-2407 (2018) - [j10]Yanyan Chen, Kuaini Wang, Ping Zhong:
A linear support higher order tensor domain description for one-class classification. J. Intell. Fuzzy Syst. 34(6): 4237-4247 (2018) - [j9]Huimin Pei, Kuaini Wang, Qiang Lin, Ping Zhong:
Robust semi-supervised extreme learning machine. Knowl. Based Syst. 159: 203-220 (2018) - 2017
- [j8]Wenxin Zhu, Ping Zhong:
Minimum Class Variance SVM+ for data classification. Adv. Data Anal. Classif. 11(1): 79-96 (2017) - [j7]Yanyan Chen, Liyun Lu, Ping Zhong:
One-class support higher order tensor machine classifier. Appl. Intell. 47(4): 1022-1030 (2017) - [j6]Huimin Pei, Kuaini Wang, Ping Zhong:
Semi-supervised matrixized least squares support vector machine. Appl. Soft Comput. 61: 72-87 (2017) - [j5]Huimin Pei, Yanyan Chen, Yankun Wu, Ping Zhong:
Laplacian total margin support vector machine based on within-class scatter. Knowl. Based Syst. 119: 152-165 (2017) - 2016
- [j4]Yanyan Chen, Kuaini Wang, Ping Zhong:
One-Class Support Tensor Machine. Knowl. Based Syst. 96: 14-28 (2016) - 2015
- [j3]Kuaini Wang, Wenxin Zhu, Ping Zhong:
Robust Support Vector Regression with Generalized Loss Function and Applications. Neural Process. Lett. 41(1): 89-106 (2015) - 2014
- [j2]Wenxin Zhu, Ping Zhong:
A new one-class SVM based on hidden information. Knowl. Based Syst. 60: 35-43 (2014) - [j1]Kuaini Wang, Ping Zhong:
Robust non-convex least squares loss function for regression with outliers. Knowl. Based Syst. 71: 290-302 (2014)
Conference and Workshop Papers
- 2023
- [c4]Zhengxian Wu, Jiaxuan Wu, Yiming Xue, Juan Wen, Ping Zhong:
A Global Feature Fusion Network for Lettuce Growth Trait Detection. ICANN (8) 2023: 26-37 - 2019
- [c3]Yiming Xue, Wan-li Peng, Yuzhu Wang, Juan Wen, Ping Zhong:
Optimized CNN with Point-Wise Parametric Rectified Linear Unit for Spatial Image Steganalysis. IWDW 2019: 32-42 - [c2]Liran Yang, Jing Zhong, Ping Zhong, Yiming Xue, Juan Wen:
A Novel Feature Selection Model for JPEG Image Steganalysis. IWDW 2019: 322-336 - 2018
- [c1]Yiming Xue, Kai Mu, Yan Li, Juan Wen, Ping Zhong, Shaozhang Niu:
Improved High Capacity Spread Spectrum-Based Audio Watermarking by Hadamard Matrices. IWDW 2018: 124-136
Coauthor Index
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