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)

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)

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)

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)

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)