Ying Zou

According to our database, Ying Zou authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

Be Reliable: An Interpretable Attribute-Oriented Representation Learning Framework.

Zihan Fang, Shide Du, Ying Zou, Yanchao Tan, Na Song, Shiping Wang

IEEE Trans. Neural Networks Learn. Syst., March, 2026

An Explainable and Flexible Plug-and-Play Multi-View Representation Learning Network.

Shide Du, Zihan Fang, Zhaoliang Chen, Ying Zou, Aiping Huang

IEEE Trans. Netw. Sci. Eng., 2026

Interpretable Multi-View Representation Learning Towards Complex Scenes: From Homogeneity to Heterogeneity.

Ying Zou, Zihan Fang, Shide Du, Yilin Wu, Hong Zhao, Shiping Wang

IEEE Trans. Multim., 2026

Multi-view learning meets state-space model: A dynamical system perspective.

Weibin Chen, Ying Zou, Zhiyong Xu, Li Xu, Shiping Wang

Neural Networks, 2026

2025

Scalable multi-modal representation learning networks.

Zihan Fang, Ying Zou, Shiyang Lan, Shide Du, Yanchao Tan, Shiping Wang

Artif. Intell. Rev., July, 2025

MBGCN: Multi-View Block-Wise Graph Convolutional Networks on Large-Scale Graphs.

Zhiyong Xu, Yuhong Chen, Ying Zou, Shide Du, Yan Chen, Shiping Wang

IEEE Trans. Image Process., 2025

Multi-scale structure-guided graph generation for multi-view semi-supervised classification.

Yilin Wu, Zhaoliang Chen, Ying Zou, Shiping Wang, Wenzhong Guo

Expert Syst. Appl., 2025

2024

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network.

Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang

Neural Networks, January, 2024

Attention-based stackable graph convolutional network for multi-view learning.

Zhiyong Xu, Weibin Chen, Ying Zou, Zihan Fang, Shiping Wang

Neural Networks, 2024