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2020 – today
- 2024
[j17]De-Yan Xie, Quanxue Gao, Yougang Zhao, Fan Yang, Wei Song
:
Consistent graph learning for multi-view spectral clustering. Pattern Recognit. 154: 110598 (2024)- [j16]De-Yan Xie, Ming Yang, Quanxue Gao, Wei Song:
Non-convex tensorial multi-view clustering by integrating ℓ1-based sliced-Laplacian regularization and ℓ2,p-sparsity. Pattern Recognit. 154: 110605 (2024) - [c5]Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie:
Label Learning Method Based on Tensor Projection. KDD 2024: 1599-1609 - [i1]Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie:
Label Learning Method Based on Tensor Projection. CoRR abs/2402.16544 (2024) - 2023
- [j15]De-Yan Xie, Quanxue Gao, Ming Yang:
Enhanced tensor low-rank representation learning for multi-view clustering. Neural Networks 161: 93-104 (2023) - 2021
- [j14]De-Yan Xie, Quanxue Gao, Siyang Deng, Xiaojun Yang, Xinbo Gao:
Multiple graphs learning with a new weighted tensor nuclear norm. Neural Networks 133: 57-68 (2021) - [j13]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) - 2020
- [j12]De-Yan Xie, Feiping Nie, Quanxue Gao, Song Xiao:
Fast algorithm for large-scale subspace clustering by LRR. IET Image Process. 14(8): 1475-1480 (2020) - [j11]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) - [j10]De-Yan Xie, Feiping Nie, Quanxue Gao:
On the optimal solution to maximum margin projection pursuit. Multim. Tools Appl. 79(47): 35441-35461 (2020) - [j9]De-Yan Xie, Quanxue Gao, Qianqian Wang, Xiangdong Zhang, Xinbo Gao:
Adaptive latent similarity learning for multi-view clustering. Neural Networks 121: 409-418 (2020) - [j8]De-Yan Xie, Xiangdong Zhang, Quanxue Gao, Jiale Han, Song Xiao, Xinbo Gao:
Multiview Clustering by Joint Latent Representation and Similarity Learning. IEEE Trans. Cybern. 50(11): 4848-4854 (2020) - [c4]Quanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang:
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering. AAAI 2020: 3930-3937 - [c3]Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao:
Multi-View Attribute Graph Convolution Networks for Clustering. IJCAI 2020: 2973-2979
2010 – 2019
- 2019
- [j7]De-Yan Xie, Quanxue Gao, Qianqian Wang, Song Xiao:
Multi-View Spectral Clustering via Integrating Global and Local Graphs. IEEE Access 7: 31197-31206 (2019) - [j6]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) - [c2]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 - [c1]Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao:
Graph and Autoencoder Based Feature Extraction for Zero-shot Learning. IJCAI 2019: 3038-3044 - 2018
- [j5]Shujian Wang, De-Yan Xie, Fang Chen, Quanxue Gao:
Dimensionality reduction by LPP-L21. IET Comput. Vis. 12(5): 659-665 (2018) - [j4]Qianqian Wang, Quanxue Gao, De-Yan Xie, Xinbo Gao, Yong Wang:
Robust DLPP With Nongreedy ℓ1-Norm Minimization and Maximization. IEEE Trans. Neural Networks Learn. Syst. 29(3): 738-743 (2018) - 2017
- [j3]Tao Li, Mengyuan Li, Quanxue Gao, De-Yan Xie:
F-norm distance metric based robust 2DPCA and face recognition. Neural Networks 94: 204-211 (2017) - 2015
- [j2]Kai Cui, Quanxue Gao, Hailin Zhang, Xinbo Gao, De-Yan Xie:
Merging model-based two-dimensional principal component analysis. Neurocomputing 168: 1198-1206 (2015) - 2010
- [j1]Quanxue Gao, Hui Xu, Yiying Li, De-Yan Xie:
Two-dimensional supervised local similarity and diversity projection. Pattern Recognit. 43(10): 3359-3363 (2010)
Coauthor Index
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