De-Yan Xie

According to our database, De-Yan Xie authored at least 20 papers between 2010 and 2024.

Collaborative distances:

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

2024

Label Learning Method Based on Tensor Projection.

Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie

CoRR, 2024

2023

Enhanced tensor low-rank representation learning for multi-view clustering.

De-Yan Xie, Quanxue Gao, Ming Yang

Neural Networks, April, 2023

2021

Enhanced Tensor RPCA and its Application.

Quanxue Gao, Pu Zhang, Wei Xia, De-Yan Xie, Xinbo Gao, Dacheng Tao

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

Multiple graphs learning with a new weighted tensor nuclear norm.

De-Yan Xie, Quanxue Gao, Siyang Deng, Xiaojun Yang, Xinbo Gao

Neural Networks, 2021

2020

Multiview Clustering by Joint Latent Representation and Similarity Learning.

De-Yan Xie, Xiangdong Zhang, Quanxue Gao, Jiale Han, Song Xiao, Xinbo Gao

IEEE Trans. Cybern., 2020

Adaptive latent similarity learning for multi-view clustering.

De-Yan Xie, Quanxue Gao, Qianqian Wang, Xiangdong Zhang, Xinbo Gao

Neural Networks, 2020

On the optimal solution to maximum margin projection pursuit.

De-Yan Xie, Feiping Nie, Quanxue Gao

Multim. Tools Appl., 2020

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

De-Yan Xie, Wei Xia, Qianqian Wang, Quanxue Gao, Song Xiao

Neurocomputing, 2020

Fast algorithm for large-scale subspace clustering by LRR.

De-Yan Xie, Feiping Nie, Quanxue Gao, Song Xiao

IET Image Process., 2020

Multi-View Attribute Graph Convolution Networks for Clustering.

Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering.

Quanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-View Classification via Adaptive Discriminant Analysis.

De-Yan Xie, Qin Li, Wei Xia, Shiwei Pang, Huihui He, Quanxue Gao

IEEE Access, 2019

Multi-View Spectral Clustering via Integrating Global and Local Graphs.

De-Yan Xie, Quanxue Gao, Qianqian Wang, Song Xiao

IEEE Access, 2019

Graph and Autoencoder Based Feature Extraction for Zero-shot Learning.

Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Tensor Linear Regression and Its Application to Color Face Recognition.

Quanxue Gao, Jiafeng Cheng, De-Yan Xie, Pu Zhang, Wei Xia, Qianqian Wang

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

2018

Robust DLPP With Nongreedy ℓ₁-Norm Minimization and Maximization.

Qianqian Wang, Quanxue Gao, De-Yan Xie, Xinbo Gao, Yong Wang

IEEE Trans. Neural Networks Learn. Syst., 2018

Dimensionality reduction by LPP-L21.

Shujian Wang, De-Yan Xie, Fang Chen, Quanxue Gao

IET Comput. Vis., 2018

2017

F-norm distance metric based robust 2DPCA and face recognition.

Tao Li, Mengyuan Li, Quanxue Gao, De-Yan Xie

Neural Networks, 2017

2015

Merging model-based two-dimensional principal component analysis.

Kai Cui, Quanxue Gao, Hailin Zhang, Xinbo Gao, De-Yan Xie

Neurocomputing, 2015

2010

Two-dimensional supervised local similarity and diversity projection.

Quanxue Gao, Hui Xu, Yiying Li, De-Yan Xie

Pattern Recognit., 2010