Jie Chen

According to our database, Jie Chen authored at least 19 papers between 2014 and 2024.

Collaborative distances:

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

2024

Augmented Sparse Representation for Incomplete Multiview Clustering.

Jie Chen, Shengxiang Yang, Xi Peng, Dezhong Peng, Zhu Wang

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Spectral Embedding Fusion for Incomplete Multiview Clustering.

Jie Chen, Yingke Chen, Zhu Wang, Haixian Zhang, Xi Peng

IEEE Trans. Image Process., 2024

Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams.

Jie Chen, Hua Mao, Yuanbiao Gou, Xi Peng

CoRR, 2024

2023

Low-Rank Tensor Learning for Incomplete Multiview Clustering.

Jie Chen, Zhu Wang, Hua Mao, Xi Peng

IEEE Trans. Knowl. Data Eng., November, 2023

Two-Stage Sparse Representation Clustering for Dynamic Data Streams.

Jie Chen, Zhu Wang, Shengxiang Yang, Hua Mao

IEEE Trans. Cybern., October, 2023

Efficient Sparse Representation for Learning With High-Dimensional Data.

Jie Chen, Shengxiang Yang, Zhu Wang, Hua Mao

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

Multiview Clustering by Consensus Spectral Rotation Fusion.

Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng

IEEE Trans. Image Process., 2023

Cross-View Graph Consistency Learning for Invariant Graph Representations.

Jie Chen, Zhiming Li, Hua Mao, Wai Lok Woo, Xi Peng

CoRR, 2023

Deep Multiview Clustering by Contrasting Cluster Assignments.

Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Multiview Subspace Clustering Using Low-Rank Representation.

Jie Chen, Shengxiang Yang, Hua Mao, Conor Fahy

IEEE Trans. Cybern., 2022

Multi-view representation learning for data stream clustering.

Jie Chen, Shengxiang Yang, Zhu Wang

Inf. Sci., 2022

2021

Low-rank representation with adaptive dictionary learning for subspace clustering.

Jie Chen, Hua Mao, Zhu Wang, Xinpei Zhang

Knowl. Based Syst., 2021

Efficient algorithms for collecting the statistics of large-scale IP address data.

Jie Chen, Hua Mao

CoRR, 2021

2018

Symmetric low-rank preserving projections for subspace learning.

Jie Chen, Hua Mao, Haixian Zhang, Zhang Yi

Neurocomputing, 2018

2017

Subspace clustering using a symmetric low-rank representation.

Jie Chen, Hua Mao, Yongsheng Sang, Zhang Yi

Knowl. Based Syst., 2017

2016

Symmetric low-rank representation for subspace clustering.

Jie Chen, Haixian Zhang, Hua Mao, Yongsheng Sang, Zhang Yi

Neurocomputing, 2016

2014

Sparse representation for face recognition by discriminative low-rank matrix recovery.

Jie Chen, Zhang Yi

J. Vis. Commun. Image Represent., 2014

Symmetric low-rank representation for subspace clustering.

Jie Chen, Haixian Zhang, Zhang Yi

CoRR, 2014

Subspace Clustering by Exploiting a Low-Rank Representation with a Symmetric Constraint.

Jie Chen, Zhang Yi

CoRR, 2014