default search action
Ping 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
— National University of Defense Technology, ATR Lab. School of Electronics Science and Engineering, Changsha, China
- Ping Zhong 0002
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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
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
Unsupervised domain adaptation with weak source domain labels via bidirectional subdomain alignment. Neural Networks 178: 106418 (2024) - [j46]Yiming Xue
Adaptive Domain-Invariant Feature Extraction for Cross-Domain Linguistic Steganalysis. IEEE Trans. Inf. Forensics Secur. 19: 920-933 (2024) - 2023
- [j45]Wenxu Wang
Domain adaptation with contrastive and adversarial oriented transferable semantic augmentation. Knowl. Based Syst. 282: 111092 (2023) - [j44]Wenxu Wang
Probability-Based Graph Embedding Cross-Domain and Class Discriminative Feature Learning for Domain Adaptation. IEEE Trans. Image Process. 32: 72-87 (2023) - [c4]Zhengxian Wu
A Global Feature Fusion Network for Lettuce Growth Trait Detection. ICANN (8) 2023: 26-37 - 2022
- [j43]Zhi Wang
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
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
Supervised multi-view classification via the sparse learning joint the weighted elastic loss. Signal Process. 191: 108362 (2022) - [j37]Zhi Wang
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
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
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
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
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)
2010 – 2019
- 2019
- [j23]Yiming Xue
Robust Speech Steganography Using Differential SVD. IEEE Access 7: 153724-153733 (2019) - [j22]Ping Zhong, Mengdi Li
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
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
Generating steganographic image description by dynamic synonym substitution. Signal Process. 164: 193-201 (2019) - [j15]Kuaini Wang
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
Convolutional Neural Network Based Text Steganalysis. IEEE Signal Process. Lett. 26(3): 460-464 (2019) - [j12]Yan Niu, Juan Wen
A Hybrid R-BILSTM-C Neural Network Based Text Steganalysis. IEEE Signal Process. Lett. 26(12): 1907-1911 (2019) - [c3]Yiming Xue, Wan-li Peng
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
- [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) - [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 - 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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 21:28 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: