Wei Guo

According to our database, Wei Guo authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Structure anchor graph learning for multi-view clustering.

Wei Guo, Zhe Wang, Wei Shao

Pattern Recognit., 2026

2025

Transductive Parameter-Free Propagation Framework for Few-Shot Distribution Rectification.

Heng Tian, Ziqiu Chi, Zhe Wang, Wei Guo, Mengping Yang, Xinlei Xu

IEEE Trans. Neural Networks Learn. Syst., August, 2025

BFCP: Pursue Better Forward Compatibility Pretraining for Few-Shot Class-Incremental Learning.

Zhiling Fu, Zhe Wang, Xinlei Xu, Wei Guo, Ziqiu Chi, Hai Yang, Wenli Du

IEEE Trans. Neural Networks Learn. Syst., August, 2025

2024

Discriminative sparse subspace learning with manifold regularization.

Wenyi Feng, Zhe Wang, Xiqing Cao, Bin Cai, Wei Guo, Weichao Ding

Expert Syst. Appl., 2024

2023

Robust semi-supervised multi-view graph learning with sharable and individual structure.

Wei Guo, Zhe Wang, Wenli Du

Pattern Recognit., August, 2023

Flexible few-shot class-incremental learning with prototype container.

Xinlei Xu, Zhe Wang, Zhiling Fu, Wei Guo, Ziqiu Chi, Dongdong Li

Neural Comput. Appl., May, 2023

Multi-view dimensionality reduction learning with hierarchical sparse feature selection.

Wei Guo, Zhe Wang, Hai Yang, Wenli Du

Appl. Intell., May, 2023

Multi-feature space similarity supplement for few-shot class incremental learning.

Xinlei Xu, Saisai Niu, Zhe Wang, Wei Guo, Lihong Jing, Hai Yang

Knowl. Based Syst., April, 2023

Scalable one-stage multi-view subspace clustering with dictionary learning.

Wei Guo, Zhe Wang, Ziqiu Chi, Xinlei Xu, Dongdong Li, Songyang Wu

Knowl. Based Syst., 2023

Robust Structured Sparse Subspace Clustering with Neighborhood Preserving Projection.

Wenyi Feng, Wei Guo, Ting Xiao, Zhe Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Geometric imbalanced deep learning with feature scaling and boundary sample mining.

Zhe Wang, Qida Dong, Wei Guo, Dongdong Li, Jing Zhang, Wenli Du

Pattern Recognit., 2022

Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization.

Wei Guo, Zhe Wang, Menghao Ma, Lilong Chen, Hai Yang, Dongdong Li, Wenli Du

Int. J. Intell. Syst., 2022

Pseudolabel-guided multiview consensus graph learning for semisupervised classification.

Wei Guo, Zhe Wang, Wenli Du

Int. J. Intell. Syst., 2022

Better Embedding and More Shots for Few-shot Learning.

Ziqiu Chi, Zhe Wang, Mengping Yang, Wei Guo, Xinlei Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Multi-kernel Support Vector Data Description with boundary information.

Wei Guo, Zhe Wang, Sisi Hong, Dongdong Li, Hai Yang, Wen Du

Eng. Appl. Artif. Intell., 2021