Jie Xu

According to our database, Jie Xu authored at least 35 papers between 2021 and 2026.

Collaborative distances:

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

2026

Structure-Aware Conditional Diffusion Generation for Incomplete Multi-View Clustering.

Yuanyang Zhang, Yijie Lin, Xinhang Wan, Jie Xu, Li Yao, Weiqing Yan, Chang Tang

IEEE Trans. Knowl. Data Eng., May, 2026

Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling.

Yuanyang Zhang, Xinhang Wan, Chao Zhang, Jie Xu, Cunjian Chen, Tien-Tsin Wong, Li Yao, Yijie Lin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis.

Shangbo Yuan, Jie Xu, Ping Hu, Xiaofeng Zhu, Na Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering.

Shuaiyu Liu, Song Wu, Jie Xu, Yazhou Ren, Yang Yang, Xiaorong Pu, Guoyin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Global-Graph Guided and Local-Graph Weighted Contrastive Learning for Unified Clustering on Incomplete and Noise Multi-View Data.

Hongqing He, Jie Xu, Wenyuan Yang, Yonghua Zhu, Guoqiu Wen, Xiaofeng Zhu

CoRR, December, 2025

Missing Pattern Tree based Decision Grouping and Ensemble for Deep Incomplete Multi-View Clustering.

Wenyuan Yang, Jie Xu, Hongqing He, Jiangzhang Gan, Xiaofeng Zhu

CoRR, December, 2025

Variational Graph Generator for Multiview Graph Clustering.

Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He

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

The Final Layer Holds the Key: A Unified and Efficient GNN Calibration Framework.

Jincheng Huang, Jie Xu, Xiaoshuang Shi, Ping Hu, Lei Feng, Xiaofeng Zhu

CoRR, May, 2025

Deep Clustering: A Comprehensive Survey.

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

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

Multi-modal Hierarchical Clustering Network for Cancer Subtype Identification of Multi-omics Data.

Fangfei Lin, Jie Xu, Yazhou Ren, Junjie Chen, Irwin King, Zenglin Xu

Proceedings of the International Joint Conference on Neural Networks, 2025

Graph Embedded Contrastive Learning for Multi-View Clustering.

Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation.

Jie Xu, Na Zhao, Gang Niu, Masashi Sugiyama, Xiaofeng Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Incomplete Multi-view Clustering via Diffusion Contrastive Generation.

Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu

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

2024

GRLC: Graph Representation Learning With Constraints.

Liang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu

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

A novel federated multi-view clustering method for unaligned and incomplete data fusion.

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

Inf. Fusion, 2024

Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views.

Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Simple Contrastive Multi-View Clustering with Data-Level Fusion.

Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios.

Jie Xu, Yazhou Ren, Xiaolong Wang, Lei Feng, Zheng Zhang, Gang Niu, Xiaofeng Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration.

Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

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

Simple Unsupervised Graph Representation Learning.

Yujie Mo, Liang Peng, Jie Xu, 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