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Shaojun Shi
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2020 – today
- 2024
- [j10]Canyu Zhang, Shaojun Shi, Yanping Chen, Feiping Nie, Rong Wang:
Local sparse discriminative feature selection. Inf. Sci. 662: 120214 (2024) - [c1]Shaojun Shi, Yibing Liu, Canyu Zhang, Xueling Chen:
Multi-view Spectral Clustering Based on Topological Manifold Learning. PRCV (1) 2024: 251-265 - 2023
- [j9]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Fast Multi-View Clustering via Prototype Graph. IEEE Trans. Knowl. Data Eng. 35(1): 443-455 (2023) - [j8]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 34(1): 201-214 (2023) - [j7]Feiping Nie, Shaojun Shi, Jing Li, Xuelong Li:
Implicit Weight Learning for Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4223-4236 (2023) - 2022
- [j6]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification. Neurocomputing 488: 248-260 (2022) - [j5]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
When multi-view classification meets ensemble learning. Neurocomputing 490: 17-29 (2022) - [j4]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Self-weighting multi-view spectral clustering based on nuclear norm. Pattern Recognit. 124: 108429 (2022) - 2020
- [j3]Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Auto-weighted multi-view clustering via spectral embedding. Neurocomputing 399: 369-379 (2020) - [j2]Feiping Nie, Shaojun Shi, Xuelong Li:
Auto-weighted multi-view co-clustering via fast matrix factorization. Pattern Recognit. 102: 107207 (2020) - [j1]Feiping Nie, Shaojun Shi, Xuelong Li:
Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph. IEEE Trans. Knowl. Data Eng. 32(6): 1167-1178 (2020)
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