Jie Xu

According to our database, Jie Xu authored at least 16 papers between 2021 and 2023.

Collaborative distances:

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

2023

UNTIE: Clustering analysis with disentanglement in multi-view information fusion.

Jie Xu, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

Inf. Fusion, December, 2023

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering.

Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He

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

DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation.

Zhimeng Yang, Yazhou Ren, Zirui Wu, Ming Zeng, Jie Xu, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He

Neurocomputing, March, 2023

GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis.

Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li

IEEE Trans. Medical Imaging, February, 2023

Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering.

Jie Xu, Chao Li, Liang Peng, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

IEEE Trans. Image Process., 2023

Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios.

Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

CoRR, 2023

Federated Deep Multi-View Clustering with Global Self-Supervision.

Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dual Label-Guided Graph Refinement for Multi-View Graph Clustering.

Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Variational Graph Generator for Multi-View Graph Clustering.

Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Lifang He

CoRR, 2022

Deep Clustering: A Comprehensive Survey.

Yazhou Ren, Jingyu Pu, Zhimeng Yang, Jie Xu, Guofeng Li, Xiaorong Pu, Philip S. Yu, Lifang He

CoRR, 2022

Multi-level Feature Learning for Contrastive Multi-view Clustering.

Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity.

Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep embedded multi-view clustering with collaborative training.

Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu

Inf. Sci., 2021

Contrastive Multi-Modal Clustering.

Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He

CoRR, 2021

Self-supervised Discriminative Feature Learning for Multi-view Clustering.

Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu

CoRR, 2021

Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering.

Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021