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ORCIDWei Xia 0007
Person information
- affiliation: Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
Other persons with the same name
- Wei Xia — disambiguation page
- Wei Xia 0001
![[0000-0003-2544-775X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2544-775X")
— Huawei Noah's Ark Lab, Shenzhen, China - Wei Xia 0002 — Hefei University of Technology, School of Management, Anhui, China
- Wei Xia 0003 — Xinjiang University, School of Computer Science and Technology (School of Cyberspace Security), Ürümqi, China (and 1 more)
- Wei Xia 0004 — Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milan, Italy (and 1 more)
- Wei Xia 0005 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China
- Wei Xia 0006 — Hubei Normal University, School of Artificial Intelligence and Computer Science, Huangshi, China (and 1 more)
- Wei Xia 0008 — Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, Suzhou, China
- Wei Xia 0009 — Amazon, Seattle, WA, USA (and 1 more)
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2020 – today
- 2024
[c5]Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia:
Tensorized Label Learning on Anchor Graph. AAAI 2024: 13537-13544- 2023
- [j21]Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chris Ding, Dacheng Tao:
Tensorized Bipartite Graph Learning for Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5187-5202 (2023) - [j20]Wei Xia, Tianxiu Wang, Quanxue Gao, Ming Yang, Xinbo Gao:
Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering. IEEE Trans. Image Process. 32: 1170-1183 (2023) - [j19]Wei Xia, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao:
Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt. IEEE Trans. Multim. 25: 6665-6677 (2023) - [j18]Qianqian Wang, Zhiqiang Tao, Wei Xia, Quanxue Gao, Xiaochun Cao, Licheng Jiao:
Adversarial Multiview Clustering Networks With Adaptive Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7635-7647 (2023) - [c4]Han Lu, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia:
Centerless Multi-View K-means Based on the Adjacency Matrix. AAAI 2023: 8949-8956 - [c3]Jing Li, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia:
Orthogonal Non-negative Tensor Factorization based Multi-view Clustering. NeurIPS 2023 - [i4]Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao:
Multi-View Clustering via Semi-non-negative Tensor Factorization. CoRR abs/2303.16748 (2023) - [i3]Quanxue Gao, Qianqian Wang, Han Lu, Wei Xia, Xinbo Gao:
Rethinking k-means from manifold learning perspective. CoRR abs/2305.07213 (2023) - 2022
- [j17]Wei Xia, Sen Wang, Ming Yang, Quanxue Gao, Jungong Han, Xinbo Gao:
Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation. Neural Networks 145: 1-9 (2022) - [j16]Wei Xia, Xiangdong Zhang, Quanxue Gao, Xiaochuang Shu, Jungong Han, Xinbo Gao:
Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm. IEEE Trans. Cybern. 52(9): 8962-8975 (2022) - [j15]Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao:
Tensor Completion-Based Incomplete Multiview Clustering. IEEE Trans. Cybern. 52(12): 13635-13644 (2022) - [j14]Haizhou Yang, Quanxue Gao, Wei Xia, Ming Yang, Xinbo Gao:
Multiview Spectral Clustering With Bipartite Graph. IEEE Trans. Image Process. 31: 3591-3605 (2022) - [j13]Wei Xia, Qianqian Wang, Quanxue Gao, Xiangdong Zhang, Xinbo Gao:
Self-Supervised Graph Convolutional Network for Multi-View Clustering. IEEE Trans. Multim. 24: 3182-3192 (2022) - [j12]Siyang Deng, Gang Xiang, Quanxue Gao, Wei Xia, Xinbo Gao:
Zero-Shot Learning Based on Quality-Verifying Adversarial Network. IEEE Trans. Multim. 24: 4526-4537 (2022) - 2021
- [j11]Yu Yun, Wei Xia, Yongqing Zhang, Quanxue Gao, Xinbo Gao:
Self-representation and Class-Specificity Distribution Based Multi-View Clustering. Neurocomputing 437: 9-20 (2021) - [j10]Shiwen Kou, Wei Xia, Xiangdong Zhang, Quanxue Gao, Xinbo Gao:
Self-supervised graph convolutional clustering by preserving latent distribution. Neurocomputing 437: 218-226 (2021) - [j9]Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao:
Regression-based clustering network via combining prior information. Neurocomputing 448: 324-332 (2021) - [j8]Wei Xia, Xiangdong Zhang, Quanxue Gao, Xinbo Gao:
Adversarial self-supervised clustering with cluster-specificity distribution. Neurocomputing 449: 38-47 (2021) - [j7]Huiling Xu, Wei Xia, Quanxue Gao, Jungong Han, Xinbo Gao:
Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution. Neural Networks 142: 221-230 (2021) - [j6]Quanxue Gao, Pu Zhang, Wei Xia, De-Yan Xie, Xinbo Gao, Dacheng Tao:
Enhanced Tensor RPCA and its Application. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2133-2140 (2021) - [j5]Siyang Deng, Wei Xia, Quanxue Gao, Xinbo Gao:
Cross-view classification by joint adversarial learning and class-specificity distribution. Pattern Recognit. 110: 107633 (2021) - [c2]Qianqian Wang, Wei Xia, Zhiqiang Tao, Quanxue Gao, Xiaochun Cao:
Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering. ACM Multimedia 2021: 1748-1755 - [i2]Quanxue Gao, Wei Xia, Xinbo Gao, Dacheng Tao:
Effective and Efficient Graph Learning for Multi-view Clustering. CoRR abs/2108.06734 (2021) - [i1]Wei Xia, Quanxue Gao, Ming Yang, Xinbo Gao:
Self-supervised Contrastive Attributed Graph Clustering. CoRR abs/2110.08264 (2021) - 2020
- [j4]De-Yan Xie, Wei Xia, Qianqian Wang, Quanxue Gao, Song Xiao:
Multi-view clustering by joint manifold learning and tensor nuclear norm. Neurocomputing 380: 105-114 (2020) - [j3]Mingzhen Hou, Wei Xia, Xiangdong Zhang, Quanxue Gao:
Discriminative comparison classifier for generalized zero-shot learning. Neurocomputing 414: 10-17 (2020) - [j2]Huiling Xu, Xiangdong Zhang, Wei Xia, Quanxue Gao, Xinbo Gao:
Low-rank tensor constrained co-regularized multi-view spectral clustering. Neural Networks 132: 245-252 (2020)
2010 – 2019
- 2019
- [j1]De-Yan Xie, Qin Li, Wei Xia, Shiwei Pang, Huihui He, Quanxue Gao:
Multi-View Classification via Adaptive Discriminant Analysis. IEEE Access 7: 36702-36709 (2019) - [c1]Quanxue Gao, Jiafeng Cheng, De-Yan Xie, Pu Zhang, Wei Xia, Qianqian Wang:
Tensor Linear Regression and Its Application to Color Face Recognition. ICCV Workshops 2019: 523-531
Coauthor Index
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