Wei Xia

Orcid: 0000-0001-8988-8381

According to our database¹, Wei Xia authored at least 30 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Other

Bibliography

2024

Tensorized Label Learning on Anchor Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adversarial Multiview Clustering Networks With Adaptive Fusion.

[BibT_eX]

[DOI]

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

Tensorized Bipartite Graph Learning for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Rethinking k-means from manifold learning perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-View Clustering via Semi-non-negative Tensor Factorization.

[BibT_eX]

[DOI]

CoRR, 2023

Orthogonal Non-negative Tensor Factorization based Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Centerless Multi-View K-means Based on the Adjacency Matrix.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-Supervised Graph Convolutional Network for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Zero-Shot Learning Based on Quality-Verifying Adversarial Network.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Multiview Spectral Clustering With Bipartite Graph.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Tensor Completion-Based Incomplete Multiview Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation.

[BibT_eX]

[DOI]

Neural Networks, 2022

2021

Cross-view classification by joint adversarial learning and class-specificity distribution.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Enhanced Tensor RPCA and its Application.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution.

[BibT_eX]

[DOI]

Neural Networks, 2021

Self-representation and Class-Specificity Distribution Based Multi-View Clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Adversarial self-supervised clustering with cluster-specificity distribution.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Regression-based clustering network via combining prior information.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Self-supervised graph convolutional clustering by preserving latent distribution.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Self-supervised Contrastive Attributed Graph Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Effective and Efficient Graph Learning for Multi-view Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Low-rank tensor constrained co-regularized multi-view spectral clustering.

[BibT_eX]

[DOI]

Neural Networks, 2020

Multi-view clustering by joint manifold learning and tensor nuclear norm.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Discriminative comparison classifier for generalized zero-shot learning.

[BibT_eX]

[DOI]

Neurocomputing, 2020

2019

Multi-View Classification via Adaptive Discriminant Analysis.

[BibT_eX]

[DOI]

IEEE Access, 2019

Tensor Linear Regression and Its Application to Color Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Wei Xia

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