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ORCIDPei Zhang 0008
Person information
- affiliation: National University of Defense Technology, School of Computer, Changsha, China
Other persons with the same name
- Pei Zhang — disambiguation page
- Pei Zhang 0001
![[0000-0002-8512-1615]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8512-1615")
— University of Michigan, Ann Arbor, MI, USA (and 2 more) - Pei Zhang 0002 — University of North Carolina at Chapel Hill, Department of Radiology, Chapel Hill, NC, USA (and 1 more)
- Pei Zhang 0003 — Beijing University of Posts and Telecommunications, Institute of Network Technology, Beijing, China (and 2 more)
- Pei Zhang 0004 — Xi'an Jiaotong University, Department of Applied Physics, Xi'an, China
- Pei Zhang 0005 — University of Southampton, UK
- Pei Zhang 0006 — Xi'an Technological University, China
- Pei Zhang 0007 — Beijing University of Posts and Telecommunications, School of Computer Science, Beijing, China
- Pei Zhang 0009 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Pei Zhang 0010 — Beijing Jiaotong University, Hanergy School of Renewable Power, Beijing, China (and 3 more)
- Pei Zhang 0011 — Alibaba Group Inc., Hangzhou, China
- Pei Zhang 0012 — Beijing University of Technology, Signal & Information Processing Laboratory, Beijing, China
- Pei Zhang 0013 — CSIP research team @ ICube (UMR-CNRS 7357), Strasbourg , France (and 1 more)
- Pei Zhang 0014 — China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
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2020 – today
- 2024
[j8]Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu:
Anchor-based multi-view subspace clustering with hierarchical feature descent. Inf. Fusion 106: 102225 (2024)- [j7]Shengju Yu, Pei Zhang, Siwei Wang, Zhibin Dong, Hengfu Yang, En Zhu, Xinwang Liu:
Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning. IEEE Trans. Cybern. 54(11): 7024-7037 (2024) - [c12]Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu:
DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering. AAAI 2024: 16568-16577 - [c11]Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu:
One-Step Late Fusion Multi-View Clustering with Compressed Subspace. ICASSP 2024: 7765-7769 - [c10]Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu:
Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering. ICML 2024 - [i7]Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu:
One-Step Late Fusion Multi-view Clustering with Compressed Subspace. CoRR abs/2401.01558 (2024) - 2023
- [c9]Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. AAAI 2023: 7459-7467 - [c8]Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo:
Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering. AAAI 2023: 11262-11269 - [c7]Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai:
Consensus One-step Multi-view Subspace Clustering (Extended abstract). ICDE 2023: 3761-3762 - [c6]Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang:
Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. ACM Multimedia 2023: 3021-3030 - [c5]Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu:
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. ACM Multimedia 2023: 7502-7511 - [i6]Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang:
Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. CoRR abs/2309.00024 (2023) - [i5]Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu:
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. CoRR abs/2309.06034 (2023) - [i4]Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu:
Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent. CoRR abs/2310.07166 (2023) - 2022
- [j6]Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu:
Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance. IEEE Trans. Image Process. 31: 556-568 (2022) - [j5]Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai:
Consensus One-Step Multi-View Subspace Clustering. IEEE Trans. Knowl. Data Eng. 34(10): 4676-4689 (2022) - [j4]Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu:
Projective Multiple Kernel Subspace Clustering. IEEE Trans. Multim. 24: 2567-2579 (2022) - [c4]Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao:
Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors. AAAI 2022: 7576-7584 - [i3]Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. CoRR abs/2212.00535 (2022) - 2021
- [j3]Zhen Cheng, En Zhu, Siqi Wang, Pei Zhang, Wang Li:
Unsupervised Outlier Detection via Transformation Invariant Autoencoder. IEEE Access 9: 43991-44002 (2021) - [j2]Zhen Cheng, Siwei Wang, Pei Zhang, Siqi Wang, Xinwang Liu, En Zhu:
Improved autoencoder for unsupervised anomaly detection. Int. J. Intell. Syst. 36(12): 7103-7125 (2021) - [c3]Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang:
Self-Representation Subspace Clustering for Incomplete Multi-view Data. ACM Multimedia 2021: 2726-2734 - [c2]Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang:
Scalable Multi-view Subspace Clustering with Unified Anchors. ACM Multimedia 2021: 3528-3536 - [c1]Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang:
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. ACM Multimedia 2021: 4156-4164 - [i2]Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan:
Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement. CoRR abs/2105.00248 (2021) - [i1]Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang:
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. CoRR abs/2105.00277 (2021) - 2020
- [j1]Pei Zhang, Siwei Wang, Jingtao Hu, Zhen Cheng, Xifeng Guo, En Zhu, Zhiping Cai:
Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering. Sensors 20(20): 5755 (2020)
Coauthor Index
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