Jie Xu - RankMe

42 papers A* 15B 1Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis. AAAI Shangbo Yuan, Jie Xu, Ping Hu, Xiaofeng Zhu, Na Zhao
2026	J	`jnl`	Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis. CoRR Shangbo Yuan, Jie Xu, Ping Hu, Xiaofeng Zhu, Na Zhao
2026	A*	`conf`	Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling. AAAI Yuanyang Zhang, Xinhang Wan, Chao Zhang, Jie Xu, Cunjian Chen, Tien-Tsin Wong, Li Yao, Yijie Lin
2026	J	`jnl`	Structure-Aware Conditional Diffusion Generation for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Yuanyang Zhang, Yijie Lin, Xinhang Wan, Jie Xu, Li Yao, Weiqing Yan, Chang Tang
2026	A*	`conf`	Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering. AAAI Shuaiyu Liu, Song Wu, Jie Xu, Yazhou Ren, Yang Yang, Xiaorong Pu, Guoyin Wang
2025	J	`jnl`	Deep Clustering: A Comprehensive Survey. IEEE Trans. Neural Networks Learn. Syst. Yazhou Ren, Jingyu Pu, Zhimeng Yang, Jie Xu, Guofeng Li, Xiaorong Pu, Philip S. Yu, Lifang He
2025	J	`jnl`	Global-Graph Guided and Local-Graph Weighted Contrastive Learning for Unified Clustering on Incomplete and Noise Multi-View Data. CoRR Hongqing He, Jie Xu, Wenyuan Yang, Yonghua Zhu, Guoqiu Wen, Xiaofeng Zhu
2025	A*	`conf`	Graph Embedded Contrastive Learning for Multi-View Clustering. IJCAI Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu
2025	A*	`conf`	Incomplete Multi-view Clustering via Diffusion Contrastive Generation. AAAI Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu
2025	J	`jnl`	Incomplete Multi-view Clustering via Diffusion Contrastive Generation. CoRR Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu
2025	J	`jnl`	Missing Pattern Tree based Decision Grouping and Ensemble for Deep Incomplete Multi-View Clustering. CoRR Wenyuan Yang, Jie Xu, Hongqing He, Jiangzhang Gan, Xiaofeng Zhu
2025	B	`conf`	Multi-modal Hierarchical Clustering Network for Cancer Subtype Identification of Multi-omics Data. IJCNN Fangfei Lin, Jie Xu, Yazhou Ren, Junjie Chen, Irwin King, Zenglin Xu
2025	J	`jnl`	Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation. CoRR Jie Xu, Na Zhao, Gang Niu, Masashi Sugiyama, Xiaofeng Zhu
2025	J	`jnl`	The Final Layer Holds the Key: A Unified and Efficient GNN Calibration Framework. CoRR Jincheng Huang, Jie Xu, Xiaoshuang Shi, Ping Hu, Lei Feng, Xiaofeng Zhu
2025	J	`jnl`	Variational Graph Generator for Multiview Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He
2024	J	`jnl`	A novel federated multi-view clustering method for unaligned and incomplete data fusion. Inf. Fusion Yazhou Ren, Xinyue Chen, Jie Xu, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
2024	A*	`conf`	Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views. NeurIPS Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang
2024	J	`jnl`	Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views. CoRR Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang
2024	J	`jnl`	GRLC: Graph Representation Learning With Constraints. IEEE Trans. Neural Networks Learn. Syst. Liang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu
2024	A*	`conf`	Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios. CVPR Jie Xu, Yazhou Ren, Xiaolong Wang, Lei Feng, Zheng Zhang, Gang Niu, Xiaofeng Zhu
2024	A*	`conf`	Simple Contrastive Multi-View Clustering with Data-Level Fusion. IJCAI Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu
2023	J	`jnl`	Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. IEEE Trans. Image Process. Jie Xu, Chao Li, Liang Peng, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
2023	J	`jnl`	DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation. Neurocomputing Zhimeng Yang, Yazhou Ren, Zirui Wu, Ming Zeng, Jie Xu, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He
2023	A*	`conf`	Dual Label-Guided Graph Refinement for Multi-View Graph Clustering. AAAI Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He
2023	A*	`conf`	Federated Deep Multi-View Clustering with Global Self-Supervision. ACM Multimedia Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
2023	J	`jnl`	Federated Deep Multi-View Clustering with Global Self-Supervision. CoRR Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He
2023	J	`jnl`	GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis. IEEE Trans. Medical Imaging Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li
2023	J	`jnl`	Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios. CoRR Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
2023	J	`jnl`	Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He
2023	A*	`conf`	Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration. NeurIPS Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu
2023	J	`jnl`	UNTIE: Clustering analysis with disentanglement in multi-view information fusion. Inf. Fusion Jie Xu, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu
2022	J	`jnl`	Deep Clustering: A Comprehensive Survey. CoRR Yazhou Ren, Jingyu Pu, Zhimeng Yang, Jie Xu, Guofeng Li, Xiaorong Pu, Philip S. Yu, Lifang He
2022	A*	`conf`	Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. AAAI Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
2022	J	`jnl`	GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis. CoRR Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li
2022	A*	`conf`	Multi-level Feature Learning for Contrastive Multi-view Clustering. CVPR Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He
2022	A*	`conf`	Simple Unsupervised Graph Representation Learning. AAAI Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu
2022	J	`jnl`	Variational Graph Generator for Multi-View Graph Clustering. CoRR Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Lifang He
2021	J	`jnl`	Contrastive Multi-Modal Clustering. CoRR Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He
2021	J	`jnl`	Deep embedded multi-view clustering with collaborative training. Inf. Sci. Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu
2021	A*	`conf`	Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. ICCV Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He
2021	J	`jnl`	Self-supervised Discriminative Feature Learning for Multi-view Clustering. CoRR Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu
2020	J	`jnl`	Deep Embedded Multi-view Clustering with Collaborative Training. CoRR Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu