Pei Zhang

According to our database, Pei Zhang authored at least 21 papers between 2020 and 2024.

Collaborative distances:

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

2024

Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning.

Shengju Yu, Pei Zhang, Siwei Wang, Zhibin Dong, Hengfu Yang, En Zhu, Xinwang Liu

IEEE Trans. Cybern., November, 2024

Anchor-based multi-view subspace clustering with hierarchical feature descent.

Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu

Inf. Fusion, 2024

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering.

Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

One-Step Late Fusion Multi-View Clustering with Compressed Subspace.

Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu

Proceedings of the IEEE International Conference on Acoustics, 2024

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering.

Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation.

Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang

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

Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning.

Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu

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

Consensus One-step Multi-view Subspace Clustering (Extended abstract).

Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View.

Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong

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

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering.

Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo

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

2022

Projective Multiple Kernel Subspace Clustering.

Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu

IEEE Trans. Multim., 2022

Consensus One-Step Multi-View Subspace Clustering.

Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai

IEEE Trans. Knowl. Data Eng., 2022

Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance.

Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu

IEEE Trans. Image Process., 2022

Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors.

Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao

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

2021

Improved autoencoder for unsupervised anomaly detection.

Zhen Cheng, Siwei Wang, Pei Zhang, Siqi Wang, Xinwang Liu, En Zhu

Int. J. Intell. Syst., 2021

Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement.

Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan

CoRR, 2021

Unsupervised Outlier Detection via Transformation Invariant Autoencoder.

Zhen Cheng, En Zhu, Siqi Wang, Pei Zhang, Wang Li

IEEE Access, 2021

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment.

Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Scalable Multi-view Subspace Clustering with Unified Anchors.

Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Self-Representation Subspace Clustering for Incomplete Multi-view Data.

Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering.

Pei Zhang, Siwei Wang, Jingtao Hu, Zhen Cheng, Xifeng Guo, En Zhu, Zhiping Cai

Sensors, 2020