Jie Chen

According to our database, Jie Chen authored at least 29 papers between 2014 and 2026.

Collaborative distances:

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

2026

Learning Subspace-Preserving Sparse Attention Graphs from Heterogeneous Multiview Data.

Jie Chen, Yuanbiao Gou, Chuanbin Liu, Zhu Wang, Xi Peng

CoRR, May, 2026

Multiview Self-Representation Learning across Heterogeneous Views.

Jie Chen, Zhu Wang, Chuanbin Liu, Xi Peng

CoRR, February, 2026

Homophilic-aware graph contrastive learning.

Li Zhang, Hua Mao, Wai Lok Woo, Jie Chen

Pattern Recognit., 2026

Conditional Distribution Learning for Graph Classification.

Jie Chen, Hua Mao, Chuanbin Liu, Zhu Wang, Xi Peng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams.

Jie Chen, Hua Mao, Yuanbiao Gou, Xi Peng

IEEE Trans. Neural Networks Learn. Syst., October, 2025

One-Step Adaptive Graph Learning for Incomplete Multiview Subspace Clustering.

Jie Chen, Hua Mao, Wai Lok Woo, Chuanbin Liu, Zhu Wang, Xi Peng

IEEE Trans. Knowl. Data Eng., May, 2025

Online Sparse Representation Clustering for Evolving Data Streams.

Jie Chen, Shengxiang Yang, Conor Fahy, Zhu Wang, Yinan Guo, Yingke Chen

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Progressive low-confidence pseudolabeling for semisupervised node classification.

Tao Zhu, Hua Mao, Hui Liu, Jie Chen

Neurocomputing, 2025

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

Hui Liu, Yi Cao, Zehan Cai, Hua Mao, Jie Chen

Comput. Sci. Inf. Syst., 2025

Cross-View Graph Consistency Learning for Invariant Graph Representations.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Self-Supervised Conditional Distribution Learning on Graphs.

Jie Chen, Hua Mao, Yuanbiao Gou, Zhu Wang, 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