I’m a two-year Ph.D. student at PRMI Group, National University of Defense Technology (NUDT) in China, supervised by Prof.Xinwang Liu and Prof. En Zhu. She received her bachelor degree at Yunnan University in 2018 and master degree at NUDT in 2020. My current research interests include machine learning and data mining, especially in multi-view learning, deep clustering, contrastive learning and graph neural networks. If you have any questions, you can contact me by zhangpei@nudt.edu.cn.

News

[2023.02] I am invited to server as a reviewer of IEEE TCSVT.
[2022.12] I am invited to server as a reviewer of IEEE TIP.
[2022.11] Two papers have been accepted by AAAI 2023.
[2022.11] I am invited to server as a reviewer of IEEE TKDE.
[2022.10] I am invited to server as a PC of AAAI 2023.
[2022.09] I am invited to server as a reviewer of IEEE TNNLS.
[2022.06] One paper has been accepted by AAAI 2022.
[2023.09] I am invited to server as a reviewer of Neurocomputing.
[2021.10] One paper has been accepted by IEEE Transactions on Image Processing.
[2021.11] One paper has been accepted by International Journal of Intelligent Systems.
[2020.12] One paper has been accepted by IEEE Transactions on Multimedia.
[2020.12] One paper has been accepted by IEEE Transactions on Knowledge and Data Engineering.
[2020.10] One paper has been accepted by Sensors.
[2020.10] One paper has been accepted by Journal of Frontiers of Computer Science and Technology.

Publications

Journals

[TKDE] Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, et al. Consensus One-step Multi-view Subspace Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022. [paper] [code]
[TIP] Wang Siwei, Liu Xinwang, Zhu Xinzhong, Pei Zhang, et al. Fast parameter-free multi-view subspace clustering with consensus anchor guidance. IEEE Transactions on Image Processing 2021.
Cheng Zhen, Wang Siwei, Pei Zhang, Wang Siqi, et al. Improved autoencoder for unsupervised anomaly detection. International Journal of Intelligent Systems 2021.
[TMM] Sun Mengjing, Wang Siwei, Pei Zhang, Liu Xinwang, et al. Projective Multiple Kernel Subspace Clustering. IEEE Transactions on Multimedia (TMM), 2021. [paper] [code]
Pei Zhang, Siwei Wang, Jingtao Hu, Zhen Cheng, et al. Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering. Sensors 2020. [paper] [Code]

Conferences:

[AAAI 23] Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, et al. Let the data choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-view Clustering. AAAI 2023.
[AAAI 23] Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, et al. Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. AAAI 2023.
[AAAI 22] Liu Suyuan, Wang Siwei, Pei Zhang, Liu Xinwang, et al. Efficient one-pass multi-view subspace clustering with consensus anchors. AAAI 2022.
[ACM MM 21] Sun Mengjing, Pei Zhang, Wang Siwei, Zhou Sihang, et al. Scalable multi-view subspace clustering with unified anchors. ACM Multimedia 2021. (Co-first author)