Supervised discriminant Isomap with maximum margin graph regularization for dimensionality reduction. - Hongchun Qu; Lin Li 083; Zhaoni Li; Jian Zheng 004 (Expert Syst. Appl., 2021)

Neural networks trained with high-dimensional functions approximation data in high-dimensional space. - Jian Zheng 004; Jianfeng Wang; Yanping Chen; Shuping Chen; Jingjin Chen; Wenlong Zhong; Wenling Wu (J. Intell. Fuzzy Syst., 2021)

Conformal transformation twin-hyperspheres for highly imbalanced data to binary classification. - Jian Zheng 004; Hongchun Qu; Zhoni Li; Lin Li (DSAA, 2022)

An irrelevant attributes resistant approach to anomaly detection in high-dimensional space using a deep hypersphere structure. - Jian Zheng 004; Hongchun Qu; Zhaoni Li; Lin Li 083; Xiaoming Tang (Appl. Soft Comput., 2022)

A deep hypersphere approach to high-dimensional anomaly detection. - Jian Zheng 004; Hongchun Qu; Zhaoni Li; Lin Li 083; Xiaoming Tang (Appl. Soft Comput., 2022)

Unsupervised dimensionality reduction by jointing dynamic hypergraph and low-rank embedding for classification and clustering. - Lin Li 083; Zhaoni Li; Jian Zheng 004; Hongchun Qu (Expert Syst. Appl., 2022)

Effects of loss function and data sparsity on smooth manifold extraction with deep model. - Hongchun Qu; Jian Zheng 004; Xiaoming Tang (Expert Syst. Appl., 2022)

Smooth manifold extraction in high-dimensional data using a deep model. - Jian Zheng 004 (J. Ambient Intell. Humaniz. Comput., 2022)

Robust discriminative projection with dynamic graph regularization for feature extraction and classification. - Hongchun Qu; Lin Li 083; Zhaoni Li; Jian Zheng 004; Xiaoming Tang (Knowl. Based Syst., 2022)

A novel autoencoder approach to feature extraction with linear separability for high-dimensional data. - Jian Zheng 004; Hongchun Qu; Zhaoni Li; Lin Li; Xiaoming Tang; Fei Guo (PeerJ Comput. Sci., 2022)

Discriminative Projection Learning With Adaptive Reversed Graph Embedding for Supervised and Semi-Supervised Dimensionality Reduction. - Lin Li 083; Hongchun Qu; Zhaoni Li; Jian Zheng 004; Fei Guo (IEEE Trans. Circuits Syst. Video Technol., 2022)

Effective approximation of high-dimensional space using neural networks. - Jian Zheng 004; Jianfeng Wang; Yanping Chen; Shuping Chen; Jingjin Chen; Wenlong Zhong; Wenling Wu (J. Supercomput., 2022)

Relation patterns extraction from high-dimensional climate data with complicated multi-variables using deep neural networks. - Jian Zheng 004; Qingling Wang; Cong Liu; Jianfeng Wang; Hongling Liu; Jiang Li (Appl. Intell., 2023)

Anomaly detection for blueberry data using sparse autoencoder-support vector machine. - Dianwen Wei; Jian Zheng 004; Hongchun Qu (PeerJ Comput. Sci., 2023)

irrelevant attribute resistance approach to binary classification for imbalanced data. - Jian Zheng 004; Xin Hu (Inf. Sci., 2024)

Data Reconstruction via Consensus Graph Learning for Effective Anomaly Detection in Industrial IoT. - Lin Li 083; Hongchun Qu; Zhaoni Li; Jian Zheng 004; Xiaoming Tang; Ping Liu (IEEE Trans. Ind. Informatics, 2024)

A fuzzy detection approach to high-dimensional anomalies. - Jian Zheng 004; Nanshan Ruan; Pingping Wei; Lin Li; Jingyue Zhang (Multim. Syst., 2024)

Binary classification for imbalanced datasets using twin hyperspheres based on conformal method. - Jian Zheng 004; Lin Li; Shiyan Wang; Huyong Yan (Clust. Comput., 2024)

Binary classification for imbalanced data using data conformity mechanism. - Jian Zheng 004; Shumiao Ren; Jingyue Zhang; Shiyan Wang; Lin Li (Multim. Syst., 2025)