Ping Zhong

Orcid: 0000-0003-1515-3475

Affiliations:
  • China Agricultural University, College of Science, Beijing, China


According to our database1, Ping Zhong authored at least 50 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adaptive Domain-Invariant Feature Extraction for Cross-Domain Linguistic Steganalysis.
IEEE Trans. Inf. Forensics Secur., 2024

2023
Domain adaptation with contrastive and adversarial oriented transferable semantic augmentation.
Knowl. Based Syst., December, 2023

Probability-Based Graph Embedding Cross-Domain and Class Discriminative Feature Learning for Domain Adaptation.
IEEE Trans. Image Process., 2023

A Global Feature Fusion Network for Lettuce Growth Trait Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022
Linguistic Steganography Based on Adaptive Probability Distribution.
IEEE Trans. Dependable Secur. Comput., 2022

Small-Scale Linguistic Steganalysis for Multi-Concealed Scenarios.
IEEE Signal Process. Lett., 2022

Retargeted multi-view classification via structured sparse learning.
Signal Process., 2022

Supervised multi-view classification via the sparse learning joint the weighted elastic loss.
Signal Process., 2022

Sparse robust multiview feature selection via adaptive-weighting strategy.
Int. J. Mach. Learn. Cybern., 2022

An effective linguistic steganalysis framework based on hierarchical mutual learning.
Inf. Sci., 2022

A supervised multi-view feature selection method based on locally sparse regularization and block computing.
Inf. Sci., 2022

Block-based multi-view classification via view-based L2, p sparse representation and adaptive view fusion.
Eng. Appl. Artif. Intell., 2022

Re-weighting regression and sparsity regularization for multi-view classification.
Appl. Intell., 2022

2021
Transfer subspace learning based on structure preservation for JPEG image mismatched steganalysis.
Signal Process. Image Commun., 2021

Robust multiview feature selection via view weighted.
Multim. Tools Appl., 2021

Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion.
Knowl. Based Syst., 2021

A Generation-based Text Steganography by Maintaining Consistency of Probability Distribution.
KSII Trans. Internet Inf. Syst., 2021

Multi-task support vector machine with pinball loss.
Eng. Appl. Artif. Intell., 2021

A novel semi-supervised support vector machine with asymmetric squared loss.
Adv. Data Anal. Classif., 2021

2020
Robust adaptation regularization based on within-class scatter for domain adaptation.
Neural Networks, 2020

Low-rank representation-based regularized subspace learning method for unsupervised domain adaptation.
Multim. Tools Appl., 2020

Discriminative and informative joint distribution adaptation for unsupervised domain adaptation.
Knowl. Based Syst., 2020

Robust regularized extreme learning machine for regression with non-convex loss function via DC program.
J. Frankl. Inst., 2020

Distributed learning for supervised multiview feature selection.
Appl. Intell., 2020

2019
Convolutional Neural Network Based Text Steganalysis.
IEEE Signal Process. Lett., 2019

A Hybrid R-BILSTM-C Neural Network Based Text Steganalysis.
IEEE Signal Process. Lett., 2019

An adaptive steganographic scheme for H.264/AVC video with distortion optimization.
Signal Process. Image Commun., 2019

Robust Proximal Support Vector Regression Based on Maximum Correntropy Criterion.
Sci. Program., 2019

Generating steganographic image description by dynamic synonym substitution.
Signal Process., 2019

A subspace learning-based method for JPEG mismatched steganalysis.
Multim. Tools Appl., 2019

Structured sparse multi-view feature selection based on weighted hinge loss.
Multim. Tools Appl., 2019

Weighted feature selection via discriminative sparse multi-view learning.
Knowl. Based Syst., 2019

A novel natural language steganographic framework based on image description neural network.
J. Vis. Commun. Image Represent., 2019

A sharing multi-view feature selection method via Alternating Direction Method of Multipliers.
Neurocomputing, 2019

Image Steganalysis in High-Dimensional Feature Spaces with Proximal Support Vector Machine.
Int. J. Digit. Crime Forensics, 2019

Robust Speech Steganography Using Differential SVD.
IEEE Access, 2019

A Novel Feature Selection Model for JPEG Image Steganalysis.
Proceedings of the Digital Forensics and Watermarking - 18th International Workshop, 2019

Optimized CNN with Point-Wise Parametric Rectified Linear Unit for Spatial Image Steganalysis.
Proceedings of the Digital Forensics and Watermarking - 18th International Workshop, 2019

2018
Robust semi-supervised extreme learning machine.
Knowl. Based Syst., 2018

A linear support higher order tensor domain description for one-class classification.
J. Intell. Fuzzy Syst., 2018

The aLS-SVM based multi-task learning classifiers.
Appl. Intell., 2018

Improved High Capacity Spread Spectrum-Based Audio Watermarking by Hadamard Matrices.
Proceedings of the Digital Forensics and Watermarking - 17th International Workshop, 2018

2017
Laplacian total margin support vector machine based on within-class scatter.
Knowl. Based Syst., 2017

Semi-supervised matrixized least squares support vector machine.
Appl. Soft Comput., 2017

One-class support higher order tensor machine classifier.
Appl. Intell., 2017

Minimum Class Variance SVM+ for data classification.
Adv. Data Anal. Classif., 2017

2016
One-Class Support Tensor Machine.
Knowl. Based Syst., 2016

2015
Robust Support Vector Regression with Generalized Loss Function and Applications.
Neural Process. Lett., 2015

2014
A new one-class SVM based on hidden information.
Knowl. Based Syst., 2014

Robust non-convex least squares loss function for regression with outliers.
Knowl. Based Syst., 2014


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