Robust non-convex least squares loss function for regression with outliers. - Kuaini Wang; Ping Zhong 003 (Knowl. Based Syst., 2014)

A new one-class SVM based on hidden information. - Wenxin Zhu; Ping Zhong 003 (Knowl. Based Syst., 2014)

Robust Support Vector Regression with Generalized Loss Function and Applications. - Kuaini Wang; Wenxin Zhu; Ping Zhong 003 (Neural Process. Lett., 2015)

One-Class Support Tensor Machine. - Yanyan Chen; Kuaini Wang; Ping Zhong 003 (Knowl. Based Syst., 2016)

Minimum Class Variance SVM+ for data classification. - Wenxin Zhu; Ping Zhong 003 (Adv. Data Anal. Classif., 2017)

One-class support higher order tensor machine classifier. - Yanyan Chen; Liyun Lu; Ping Zhong 003 (Appl. Intell., 2017)

Semi-supervised matrixized least squares support vector machine. - Huimin Pei; Kuaini Wang; Ping Zhong 003 (Appl. Soft Comput., 2017)

Laplacian total margin support vector machine based on within-class scatter. - Huimin Pei; Yanyan Chen; Yankun Wu; Ping Zhong 003 (Knowl. Based Syst., 2017)

Improved High Capacity Spread Spectrum-Based Audio Watermarking by Hadamard Matrices. - Yiming Xue; Kai Mu; Yan Li; Juan Wen; Ping Zhong 003; Shaozhang Niu (IWDW, 2018)

The aLS-SVM based multi-task learning classifiers. - Liyun Lu; Qiang Lin; Huimin Pei; Ping Zhong 003 (Appl. Intell., 2018)

A linear support higher order tensor domain description for one-class classification. - Yanyan Chen; Kuaini Wang; Ping Zhong 003 (J. Intell. Fuzzy Syst., 2018)

Robust semi-supervised extreme learning machine. - Huimin Pei; Kuaini Wang; Qiang Lin; Ping Zhong 003 (Knowl. Based Syst., 2018)

Optimized CNN with Point-Wise Parametric Rectified Linear Unit for Spatial Image Steganalysis. - Yiming Xue; Wan-li Peng; Yuzhu Wang; Juan Wen; Ping Zhong 003 (IWDW, 2019)

A Novel Feature Selection Model for JPEG Image Steganalysis. - Liran Yang; Jing Zhong; Ping Zhong 003; Yiming Xue; Juan Wen (IWDW, 2019)

Robust Speech Steganography Using Differential SVD. - Yiming Xue; Kai Mu; Yuzhu Wang; Yao Chen; Ping Zhong 003; Juan Wen (IEEE Access, 2019)

Image Steganalysis in High-Dimensional Feature Spaces with Proximal Support Vector Machine. - Ping Zhong 003; Mengdi Li; Kai Mu; Juan Wen; Yiming Xue (Int. J. Digit. Crime Forensics, 2019)

A sharing multi-view feature selection method via Alternating Direction Method of Multipliers. - Qiang Lin; Yiming Xue; Juan Wen; Ping Zhong 003 (Neurocomputing, 2019)

A novel natural language steganographic framework based on image description neural network. - Juan Wen; Xuejing Zhou; Mengdi Li; Ping Zhong 003; Yiming Xue (J. Vis. Commun. Image Represent., 2019)

Weighted feature selection via discriminative sparse multi-view learning. - Jing Zhong; Nan Wang; Qiang Lin; Ping Zhong 003 (Knowl. Based Syst., 2019)

Structured sparse multi-view feature selection based on weighted hinge loss. - Nan Wang; Yiming Xue; Qiang Lin; Ping Zhong 003 (Multim. Tools Appl., 2019)

A subspace learning-based method for JPEG mismatched steganalysis. - Yiming Xue; Liran Yang; Juan Wen; Shaozhang Niu; Ping Zhong 003 (Multim. Tools Appl., 2019)

Generating steganographic image description by dynamic synonym substitution. - Mengdi Li; Kai Mu; Ping Zhong 003; Juan Wen; Yiming Xue (Signal Process., 2019)

Robust Proximal Support Vector Regression Based on Maximum Correntropy Criterion. - Kuaini Wang; Huimin Pei; Xiaoshuai Ding; Ping Zhong 003 (Sci. Program., 2019)

An adaptive steganographic scheme for H.264/AVC video with distortion optimization. - Yiming Xue; Jie Zhou; Hao Zeng; Ping Zhong 003; Juan Wen (Signal Process. Image Commun., 2019)

A Hybrid R-BILSTM-C Neural Network Based Text Steganalysis. - Yan Niu; Juan Wen; Ping Zhong 003; Yiming Xue (IEEE Signal Process. Lett., 2019)

Convolutional Neural Network Based Text Steganalysis. - Juan Wen; Xuejing Zhou; Ping Zhong 003; Yiming Xue (IEEE Signal Process. Lett., 2019)

Distributed learning for supervised multiview feature selection. - Min Men; Ping Zhong 003; Zhi Wang 019; Qiang Lin (Appl. Intell., 2020)

Robust regularized extreme learning machine for regression with non-convex loss function via DC program. - Kuaini Wang; Huimin Pei; Jinde Cao; Ping Zhong 003 (J. Frankl. Inst., 2020)

Discriminative and informative joint distribution adaptation for unsupervised domain adaptation. - Liran Yang; Ping Zhong 003 (Knowl. Based Syst., 2020)

Low-rank representation-based regularized subspace learning method for unsupervised domain adaptation. - Liran Yang; Min Men; Yiming Xue; Ping Zhong 003 (Multim. Tools Appl., 2020)

Robust adaptation regularization based on within-class scatter for domain adaptation. - Liran Yang; Ping Zhong 003 (Neural Networks, 2020)

A novel semi-supervised support vector machine with asymmetric squared loss. - Huimin Pei; Qiang Lin; Liran Yang; Ping Zhong 003 (Adv. Data Anal. Classif., 2021)

Multi-task support vector machine with pinball loss. - Yunhao Zhang; Jiajun Yu; Xinyi Dong; Ping Zhong 003 (Eng. Appl. Artif. Intell., 2021)

A Generation-based Text Steganography by Maintaining Consistency of Probability Distribution. - Boya Yang; Wanli Peng; Yiming Xue; Ping Zhong 003 (KSII Trans. Internet Inf. Syst., 2021)

Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion. - Qiang Lin; Liran Yang; Ping Zhong 003; Hui Zou (Knowl. Based Syst., 2021)

Robust multiview feature selection via view weighted. - Jing Zhong; Ping Zhong 003; Yimin Xu; Liran Yang (Multim. Tools Appl., 2021)

Transfer subspace learning based on structure preservation for JPEG image mismatched steganalysis. - Liran Yang; Min Men; Yiming Xue; Juan Wen; Ping Zhong 003 (Signal Process. Image Commun., 2021)

Re-weighting regression and sparsity regularization for multi-view classification. - Zhi Wang 019; Min Men; Ping Zhong 003 (Appl. Intell., 2022)

Unsupervised adversarial domain adaptation based on interpolation image for fish detection in aquaculture. - Tengyun Zhao; Zhencai Shen; Hui Zou; Ping Zhong 003; Yingyi Chen (Comput. Electron. Agric., 2022)

Block-based multi-view classification via view-based L2, p sparse representation and adaptive view fusion. - Zhi Wang 019; Qiang Lin; Yingyi Chen; Ping Zhong 003 (Eng. Appl. Artif. Intell., 2022)

A supervised multi-view feature selection method based on locally sparse regularization and block computing. - Qiang Lin; Min Men; Liran Yang; Ping Zhong 003 (Inf. Sci., 2022)

An effective linguistic steganalysis framework based on hierarchical mutual learning. - Yiming Xue; Lingzhi Kong; Wan-li Peng; Ping Zhong 003; Juan Wen (Inf. Sci., 2022)

Sparse robust multiview feature selection via adaptive-weighting strategy. - Zhi Wang 019; Jing Zhong; Yuqing Chen; Ping Zhong 003 (Int. J. Mach. Learn. Cybern., 2022)

Supervised multi-view classification via the sparse learning joint the weighted elastic loss. - Qiang Lin; Zhi Wang 019; Yingyi Chen; Ping Zhong 003 (Signal Process., 2022)

Retargeted multi-view classification via structured sparse learning. - Zhi Wang 019; Zhencai Shen; Hui Zou; Ping Zhong 003; Yingyi Chen (Signal Process., 2022)

Small-Scale Linguistic Steganalysis for Multi-Concealed Scenarios. - Yimin Xu; Tengyun Zhao; Ping Zhong 003 (IEEE Signal Process. Lett., 2022)

Linguistic Steganography Based on Adaptive Probability Distribution. - Xuejing Zhou; Wanli Peng; Boya Yang; Juan Wen; Yiming Xue; Ping Zhong 003 (IEEE Trans. Dependable Secur. Comput., 2022)

A Global Feature Fusion Network for Lettuce Growth Trait Detection. - Zhengxian Wu; Jiaxuan Wu; Yiming Xue; Juan Wen; Ping Zhong 003 (ICANN (8), 2023)

Probability-Based Graph Embedding Cross-Domain and Class Discriminative Feature Learning for Domain Adaptation. - Wenxu Wang 002; Zhencai Shen; Daoliang Li; Ping Zhong 003; Yingyi Chen (IEEE Trans. Image Process., 2023)

Domain adaptation with contrastive and adversarial oriented transferable semantic augmentation. - Wenxu Wang 002; Guoxu Zhang; Ping Zhong 003 (Knowl. Based Syst., 2023)

Precise feature selection via non-convex regularized graph embedding and self-representation for unsupervised learning. - Hanru Bai; Ming Huang; Ping Zhong 003 (Knowl. Based Syst., 2024)

Unsupervised domain adaptation with weak source domain labels via bidirectional subdomain alignment. - Heng Zhou 007; Ping Zhong 003; Daoliang Li; Zhencai Shen (Neural Networks, 2024)

Adaptive Domain-Invariant Feature Extraction for Cross-Domain Linguistic Steganalysis. - Yiming Xue; Jiaxuan Wu; Ronghua Ji; Ping Zhong 003; Juan Wen; Wanli Peng (IEEE Trans. Inf. Forensics Secur., 2024)

Heterogeneous domain adaptation by class centroid matching and local discriminative structure preservation. - Yuqing Chen; Heng Zhou 007; Zhi Wang 019; Ping Zhong 003 (Neural Comput. Appl., 2024)

OSTNet: overlapping splitting transformer network with integrated density loss for vehicle density estimation. - Yang Qu; Liran Yang; Ping Zhong 003; Qiuyue Li (Appl. Intell., 2024)

Mutual information stacking method for prediction of the growth traits in pigs. - Ruilin Su; Binyang Huang; Junyan Tan; Zhencai Shen; Ping Zhong 003; Jianfeng Liu (Briefings Bioinform., 2025)

Local-global routing between capsules for hyperspectral image classification with noisy labels. - Heng Zhou 007; Ping Zhong 003 (Digit. Signal Process., 2025)

A Scale-Aware local Context aggregation network for Multi-Domain shrimp counting. - Tong Zhao; Zhencai Shen; Daoliang Li; Ping Zhong 003; Junyan Tan (Expert Syst. Appl., 2025)

Wave-based cross-phase representation for weakly supervised classification. - Heng Zhou 007; Ping Zhong 003 (Image Vis. Comput., 2025)

Heterogeneous Domain Adaptation With Generalized Similarity and Dissimilarity Regularization. - Yuqing Chen; Zhencai Shen; Daoliang Li; Ping Zhong 003; Yingyi Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)