Shaojun Shi

According to our database, Shaojun Shi authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Local sparse discriminative feature selection.

Canyu Zhang, Shaojun Shi, Yanping Chen, Feiping Nie, Rong Wang

Inf. Sci., 2024

Multi-view Spectral Clustering Based on Topological Manifold Learning.

Shaojun Shi, Yibing Liu, Canyu Zhang, Xueling Chen

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

2023

Implicit Weight Learning for Multi-View Clustering.

Feiping Nie, Shaojun Shi, Jing Li, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction.

Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2023

Fast Multi-View Clustering via Prototype Graph.

Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li

IEEE Trans. Knowl. Data Eng., 2023

2022

Self-weighting multi-view spectral clustering based on nuclear norm.

Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li

Pattern Recognit., 2022

When multi-view classification meets ensemble learning.

Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li

Neurocomputing, 2022

Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification.

Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li

Neurocomputing, 2022

2020

Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph.

Feiping Nie, Shaojun Shi, Xuelong Li

IEEE Trans. Knowl. Data Eng., 2020

Auto-weighted multi-view co-clustering via fast matrix factorization.

Feiping Nie, Shaojun Shi, Xuelong Li

Pattern Recognit., 2020

Auto-weighted multi-view clustering via spectral embedding.

Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li

Neurocomputing, 2020