Auto-weighted multi-view clustering via spectral embedding. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2020)

Auto-weighted multi-view co-clustering via fast matrix factorization. - Feiping Nie 001; Shaojun Shi; Xuelong Li 001 (Pattern Recognit., 2020)

Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph. - Feiping Nie 001; Shaojun Shi; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2020)

Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2022)

When multi-view classification meets ensemble learning. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2022)

Self-weighting multi-view spectral clustering based on nuclear norm. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2022)

Fast Multi-View Clustering via Prototype Graph. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Implicit Weight Learning for Multi-View Clustering. - Feiping Nie 001; Shaojun Shi; Jing Li 009; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Application and Fusion Analysis of Advanced Mathematical Modeling Thought Based on Computer Technology in University Teaching. - Yangchun Hu; Shaojun Shi (ICBASE, 2024)

The compatibility of psychological research and machine learning analysis based on theoretical frameworks. - Jie Zhou; Shaojun Shi (ICBASE, 2024)

Multi-view Spectral Clustering Based on Topological Manifold Learning. - Shaojun Shi; Yibing Liu; Canyu Zhang; Xueling Chen (PRCV (1), 2024)

Local sparse discriminative feature selection. - Canyu Zhang; Shaojun Shi; Yanping Chen; Feiping Nie 001; Rong Wang 001 (Inf. Sci., 2024)