Multi-kernel Support Vector Data Description with boundary information. - Wei Guo 023; Zhe Wang 002; Sisi Hong; Dongdong Li; Hai Yang 002; Wen Du (Eng. Appl. Artif. Intell., 2021)

Better Embedding and More Shots for Few-shot Learning. - Ziqiu Chi; Zhe Wang 002; Mengping Yang; Wei Guo 023; Xinlei Xu (IJCAI, 2022)

Pseudolabel-guided multiview consensus graph learning for semisupervised classification. - Wei Guo 023; Zhe Wang 002; Wenli Du (Int. J. Intell. Syst., 2022)

Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization. - Wei Guo 023; Zhe Wang 002; Menghao Ma; Lilong Chen; Hai Yang 002; Dongdong Li; Wenli Du (Int. J. Intell. Syst., 2022)

Geometric imbalanced deep learning with feature scaling and boundary sample mining. - Zhe Wang 002; Qida Dong; Wei Guo 023; Dongdong Li; Jing Zhang 041; Wenli Du (Pattern Recognit., 2022)

Robust Structured Sparse Subspace Clustering with Neighborhood Preserving Projection. - Wenyi Feng; Wei Guo 023; Ting Xiao; Zhe Wang 002 (ICME, 2023)

Scalable one-stage multi-view subspace clustering with dictionary learning. - Wei Guo 023; Zhe Wang 002; Ziqiu Chi; Xinlei Xu; Dongdong Li; Songyang Wu (Knowl. Based Syst., 2023)

Multi-feature space similarity supplement for few-shot class incremental learning. - Xinlei Xu; Saisai Niu; Zhe Wang 002; Wei Guo 023; Lihong Jing; Hai Yang 002 (Knowl. Based Syst., 2023)

Multi-view dimensionality reduction learning with hierarchical sparse feature selection. - Wei Guo 023; Zhe Wang 002; Hai Yang 002; Wenli Du (Appl. Intell., 2023)

Flexible few-shot class-incremental learning with prototype container. - Xinlei Xu; Zhe Wang 002; Zhiling Fu; Wei Guo 023; Ziqiu Chi; Dongdong Li (Neural Comput. Appl., 2023)

Robust semi-supervised multi-view graph learning with sharable and individual structure. - Wei Guo 023; Zhe Wang 002; Wenli Du (Pattern Recognit., 2023)

Discriminative sparse subspace learning with manifold regularization. - Wenyi Feng; Zhe Wang 002; Xiqing Cao; Bin Cai; Wei Guo 023; Weichao Ding (Expert Syst. Appl., 2024)

BFCP: Pursue Better Forward Compatibility Pretraining for Few-Shot Class-Incremental Learning. - Zhiling Fu; Zhe Wang 002; Xinlei Xu; Wei Guo 023; Ziqiu Chi; Hai Yang 002; Wenli Du (IEEE Trans. Neural Networks Learn. Syst., 2025)

Transductive Parameter-Free Propagation Framework for Few-Shot Distribution Rectification. - Heng Tian; Ziqiu Chi; Zhe Wang 002; Wei Guo 023; Mengping Yang; Xinlei Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Structure anchor graph learning for multi-view clustering. - Wei Guo 023; Zhe Wang 002; Wei Shao (Pattern Recognit., 2026)