Ping Zhong

65 papers A 1C 3Journal 60Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Single domain generalization crowd counting via hybrid space fusion and contrastive disentanglement learning.
Appl. Soft Comput.
Yang Qu, Tianyi Liao, Zhiruo Qiu, Liran Yang, Ping Zhong, Yingyi Chen, Zhencai Shen
2026 J jnl
Sparse convex clustering based on structural sparsity and linear projection.
Expert Syst. Appl.
Tiankuo Shao, Ping Zhong
2025 J jnl
3DHAE-Net: 3-dimensional perceptive and hierarchical aggregated edge-emphasis network for shrimp counting in underwater multiple scenarios.
Comput. Electron. Agric.
Tong Zhao, Daoliang Li, Ping Zhong, Zhencai Shen
2025 J jnl
A Scale-Aware local Context aggregation network for Multi-Domain shrimp counting.
Expert Syst. Appl.
Tong Zhao, Zhencai Shen, Daoliang Li, Ping Zhong, Junyan Tan
2025 J jnl
EditMF: Drawing an Invisible Fingerprint for Your Large Language Models.
CoRR
Jiaxuan Wu, Yinghan Zhou, Wanli Peng, Yiming Xue, Juan Wen, Ping Zhong
2025 A conf
Graph-based Meta-Learning and Feature Disentanglement for Domain Generalization Crowd Counting.
ICME
Yang Qu, Zhencai Shen, Yingyi Chen, Ping Zhong
2025 J jnl
Heterogeneous Domain Adaptation With Generalized Similarity and Dissimilarity Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Yuqing Chen, Zhencai Shen, Daoliang Li, Ping Zhong, Yingyi Chen
2025 J jnl
Local-global routing between capsules for hyperspectral image classification with noisy labels.
Digit. Signal Process.
Heng Zhou, Ping Zhong
2025 J jnl
Mutual information stacking method for prediction of the growth traits in pigs.
Briefings Bioinform.
Ruilin Su, Binyang Huang, Junyan Tan, Zhencai Shen, Ping Zhong, Jianfeng Liu
2025 J jnl
Wave-based cross-phase representation for weakly supervised classification.
Image Vis. Comput.
Heng Zhou, Ping Zhong
2024 J jnl
Adaptive Domain-Invariant Feature Extraction for Cross-Domain Linguistic Steganalysis.
IEEE Trans. Inf. Forensics Secur.
Yiming Xue, Jiaxuan Wu, Ronghua Ji, Ping Zhong, Juan Wen, Wanli Peng
2024 J jnl
Heterogeneous domain adaptation by class centroid matching and local discriminative structure preservation.
Neural Comput. Appl.
Yuqing Chen, Heng Zhou, Zhi Wang, Ping Zhong
2024 J jnl
OSTNet: overlapping splitting transformer network with integrated density loss for vehicle density estimation.
Appl. Intell.
Yang Qu, Liran Yang, Ping Zhong, Qiuyue Li
2024 J jnl
Precise feature selection via non-convex regularized graph embedding and self-representation for unsupervised learning.
Knowl. Based Syst.
Hanru Bai, Ming Huang, Ping Zhong
2024 J jnl
Unsupervised domain adaptation with weak source domain labels via bidirectional subdomain alignment.
Neural Networks
Heng Zhou, Ping Zhong, Daoliang Li, Zhencai Shen
2023 — conf
A Global Feature Fusion Network for Lettuce Growth Trait Detection.
ICANN (8)
Zhengxian Wu, Jiaxuan Wu, Yiming Xue, Juan Wen, Ping Zhong
2023 J jnl
Domain adaptation with contrastive and adversarial oriented transferable semantic augmentation.
Knowl. Based Syst.
Wenxu Wang, Guoxu Zhang, Ping Zhong
2023 J jnl
Probability-Based Graph Embedding Cross-Domain and Class Discriminative Feature Learning for Domain Adaptation.
IEEE Trans. Image Process.
Wenxu Wang, Zhencai Shen, Daoliang Li, Ping Zhong, Yingyi Chen
2022 J jnl
A supervised multi-view feature selection method based on locally sparse regularization and block computing.
Inf. Sci.
Qiang Lin, Min Men, Liran Yang, Ping Zhong
2022 J jnl
An effective linguistic steganalysis framework based on hierarchical mutual learning.
Inf. Sci.
Yiming Xue, Lingzhi Kong, Wan-li Peng, Ping Zhong, Juan Wen
2022 J jnl
Block-based multi-view classification via view-based L2, p sparse representation and adaptive view fusion.
Eng. Appl. Artif. Intell.
Zhi Wang, Qiang Lin, Yingyi Chen, Ping Zhong
2022 J jnl
Linguistic Steganography Based on Adaptive Probability Distribution.
IEEE Trans. Dependable Secur. Comput.
Xuejing Zhou, Wanli Peng, Boya Yang, Juan Wen, Yiming Xue, Ping Zhong
2022 J jnl
Re-weighting regression and sparsity regularization for multi-view classification.
Appl. Intell.
Zhi Wang, Min Men, Ping Zhong
2022 J jnl
Retargeted multi-view classification via structured sparse learning.
Signal Process.
Zhi Wang, Zhencai Shen, Hui Zou, Ping Zhong, Yingyi Chen
2022 J jnl
Small-Scale Linguistic Steganalysis for Multi-Concealed Scenarios.
IEEE Signal Process. Lett.
Yimin Xu, Tengyun Zhao, Ping Zhong
2022 J jnl
Sparse robust multiview feature selection via adaptive-weighting strategy.
Int. J. Mach. Learn. Cybern.
Zhi Wang, Jing Zhong, Yuqing Chen, Ping Zhong
2022 J jnl
Supervised multi-view classification via the sparse learning joint the weighted elastic loss.
Signal Process.
Qiang Lin, Zhi Wang, Yingyi Chen, Ping Zhong
2022 J jnl
Unsupervised adversarial domain adaptation based on interpolation image for fish detection in aquaculture.
Comput. Electron. Agric.
Tengyun Zhao, Zhencai Shen, Hui Zou, Ping Zhong, Yingyi Chen
2021 J jnl
A Generation-based Text Steganography by Maintaining Consistency of Probability Distribution.
KSII Trans. Internet Inf. Syst.
Boya Yang, Wanli Peng, Yiming Xue, Ping Zhong
2021 J jnl
A novel semi-supervised support vector machine with asymmetric squared loss.
Adv. Data Anal. Classif.
Huimin Pei, Qiang Lin, Liran Yang, Ping Zhong
2021 J jnl
Multi-task support vector machine with pinball loss.
Eng. Appl. Artif. Intell.
Yunhao Zhang, Jiajun Yu, Xinyi Dong, Ping Zhong
2021 J jnl
Robust multiview feature selection via view weighted.
Multim. Tools Appl.
Jing Zhong, Ping Zhong, Yimin Xu, Liran Yang
2021 J jnl
Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion.
Knowl. Based Syst.
Qiang Lin, Liran Yang, Ping Zhong, Hui Zou
2021 J jnl
Transfer subspace learning based on structure preservation for JPEG image mismatched steganalysis.
Signal Process. Image Commun.
Liran Yang, Min Men, Yiming Xue, Juan Wen, Ping Zhong
2020 J jnl
Discriminative and informative joint distribution adaptation for unsupervised domain adaptation.
Knowl. Based Syst.
Liran Yang, Ping Zhong
2020 J jnl
Distributed learning for supervised multiview feature selection.
Appl. Intell.
Min Men, Ping Zhong, Zhi Wang, Qiang Lin
2020 J jnl
Low-rank representation-based regularized subspace learning method for unsupervised domain adaptation.
Multim. Tools Appl.
Liran Yang, Min Men, Yiming Xue, Ping Zhong
2020 J jnl
Robust adaptation regularization based on within-class scatter for domain adaptation.
Neural Networks
Liran Yang, Ping Zhong
2020 J jnl
Robust regularized extreme learning machine for regression with non-convex loss function via DC program.
J. Frankl. Inst.
Kuaini Wang, Huimin Pei, Jinde Cao, Ping Zhong
2019 J jnl
A Hybrid R-BILSTM-C Neural Network Based Text Steganalysis.
IEEE Signal Process. Lett.
Yan Niu, Juan Wen, Ping Zhong, Yiming Xue
2019 C conf
A Novel Feature Selection Model for JPEG Image Steganalysis.
IWDW
Liran Yang, Jing Zhong, Ping Zhong, Yiming Xue, Juan Wen
2019 J jnl
A novel natural language steganographic framework based on image description neural network.
J. Vis. Commun. Image Represent.
Juan Wen, Xuejing Zhou, Mengdi Li, Ping Zhong, Yiming Xue
2019 J jnl
A sharing multi-view feature selection method via Alternating Direction Method of Multipliers.
Neurocomputing
Qiang Lin, Yiming Xue, Juan Wen, Ping Zhong
2019 J jnl
A subspace learning-based method for JPEG mismatched steganalysis.
Multim. Tools Appl.
Yiming Xue, Liran Yang, Juan Wen, Shaozhang Niu, Ping Zhong
2019 J jnl
An adaptive steganographic scheme for H.264/AVC video with distortion optimization.
Signal Process. Image Commun.
Yiming Xue, Jie Zhou, Hao Zeng, Ping Zhong, Juan Wen
2019 J jnl
Convolutional Neural Network Based Text Steganalysis.
IEEE Signal Process. Lett.
Juan Wen, Xuejing Zhou, Ping Zhong, Yiming Xue
2019 J jnl
Generating steganographic image description by dynamic synonym substitution.
Signal Process.
Mengdi Li, Kai Mu, Ping Zhong, Juan Wen, Yiming Xue
2019 J jnl
Image Steganalysis in High-Dimensional Feature Spaces with Proximal Support Vector Machine.
Int. J. Digit. Crime Forensics
Ping Zhong, Mengdi Li, Kai Mu, Juan Wen, Yiming Xue
2019 C conf
Optimized CNN with Point-Wise Parametric Rectified Linear Unit for Spatial Image Steganalysis.
IWDW
Yiming Xue, Wan-li Peng, Yuzhu Wang, Juan Wen, Ping Zhong
2019 J jnl
Robust Proximal Support Vector Regression Based on Maximum Correntropy Criterion.
Sci. Program.
Kuaini Wang, Huimin Pei, Xiaoshuai Ding, Ping Zhong
2019 J jnl
Robust Speech Steganography Using Differential SVD.
IEEE Access
Yiming Xue, Kai Mu, Yuzhu Wang, Yao Chen, Ping Zhong, Juan Wen
2019 J jnl
Structured sparse multi-view feature selection based on weighted hinge loss.
Multim. Tools Appl.
Nan Wang, Yiming Xue, Qiang Lin, Ping Zhong
2019 J jnl
Weighted feature selection via discriminative sparse multi-view learning.
Knowl. Based Syst.
Jing Zhong, Nan Wang, Qiang Lin, Ping Zhong
2018 J jnl
A linear support higher order tensor domain description for one-class classification.
J. Intell. Fuzzy Syst.
Yanyan Chen, Kuaini Wang, Ping Zhong
2018 C conf
Improved High Capacity Spread Spectrum-Based Audio Watermarking by Hadamard Matrices.
IWDW
Yiming Xue, Kai Mu, Yan Li, Juan Wen, Ping Zhong, Shaozhang Niu
2018 J jnl
Robust semi-supervised extreme learning machine.
Knowl. Based Syst.
Huimin Pei, Kuaini Wang, Qiang Lin, Ping Zhong
2018 J jnl
The aLS-SVM based multi-task learning classifiers.
Appl. Intell.
Liyun Lu, Qiang Lin, Huimin Pei, Ping Zhong
2017 J jnl
Laplacian total margin support vector machine based on within-class scatter.
Knowl. Based Syst.
Huimin Pei, Yanyan Chen, Yankun Wu, Ping Zhong
2017 J jnl
Minimum Class Variance SVM+ for data classification.
Adv. Data Anal. Classif.
Wenxin Zhu, Ping Zhong
2017 J jnl
One-class support higher order tensor machine classifier.
Appl. Intell.
Yanyan Chen, Liyun Lu, Ping Zhong
2017 J jnl
Semi-supervised matrixized least squares support vector machine.
Appl. Soft Comput.
Huimin Pei, Kuaini Wang, Ping Zhong
2016 J jnl
One-Class Support Tensor Machine.
Knowl. Based Syst.
Yanyan Chen, Kuaini Wang, Ping Zhong
2015 J jnl
Robust Support Vector Regression with Generalized Loss Function and Applications.
Neural Process. Lett.
Kuaini Wang, Wenxin Zhu, Ping Zhong
2014 J jnl
A new one-class SVM based on hidden information.
Knowl. Based Syst.
Wenxin Zhu, Ping Zhong
2014 J jnl
Robust non-convex least squares loss function for regression with outliers.
Knowl. Based Syst.
Kuaini Wang, Ping Zhong