Active learning through density clustering. - Min Wang 031; Fan Min 001; Zhi-Heng Zhang; Yan-Xue Wu (Expert Syst. Appl., 2017)

Magic barrier estimation models for recommended systems under normal distribution. - Heng-Ru Zhang; Fan Min 001; Yan-Xue Wu; Zhuo-Lin Fu; Lei Gao (Appl. Intell., 2018)

Cost-sensitive active learning with a label uniform distribution model. - Yan-Xue Wu; Xue-Yang Min; Fan Min 001; Min Wang 031 (Int. J. Approx. Reason., 2019)

Rare Potential Poor Household Identification With a Focus Embedded Logistic Regression. - Yan-Xue Wu; Zhi-Neng Hu; Yuan-Yuan Wang; Fan Min 001 (IEEE Access, 2022)

Long-tailed image recognition through balancing discriminant quality. - Yan-Xue Wu; Fan Min 001; Ben-Wen Zhang; Xian-Jie Wang (Artif. Intell. Rev., 2023)

Self-supervised class-balanced active learning with uncertainty-mastery fusion. - Yan-Xue Wu; Fan Min 001; Gong-Suo Chen; Shaopeng Shen; Zuo-Cheng Wen; Xiangbing Zhou (Knowl. Based Syst., 2024)

Misclassification-guided loss under the weighted cross-entropy loss framework. - Yan-Xue Wu; Kai Du; Xian-Jie Wang; Fan Min 001 (Knowl. Inf. Syst., 2024)

DFF-Net: Dynamic feature fusion network for time series prediction. - Bin Xiao; Zheng Chen; Yan-Xue Wu; Min Wang; Shengtong Hu; Xingpeng Zhang (Int. J. Approx. Reason., 2025)

Deep Active Learning for Image Hierarchical Classification by Introducing Dependencies and Constraints Between Classes. - Yan-Xue Wu; Min Wang 031; Fan Min 001; Qi Wang; Zhi-Heng Zhang; Haoyu Zhang; Xiangbing Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2025)

FCAFormer: multivariate time series forecasting combining channel attention and transformer in the frequency domain. - Bin Xiao; Zehao Ge; Xingpeng Zhang; Min Wang; Zheng Chen; Zhou Yang; Yan-Xue Wu (J. Supercomput., 2025)