数据拟合中光滑参数的优化 (Optimization for Smoothing Parameter in Process of Data Fitting). - Li Wang; Wenjian Wang; Gaoxia Jiang (计算机科学, 2015)

Markov cross-validation for time series model evaluations. - Gaoxia Jiang; Wenjian Wang (Inf. Sci., 2017)

Error estimation based on variance analysis of k-fold cross-validation. - Gaoxia Jiang; Wenjian Wang (Pattern Recognit., 2017)

A novel distance measure for time series: Maximum shifting correlation distance. - Gaoxia Jiang; Wenjian Wang; Wenkai Zhang (Pattern Recognit. Lett., 2019)

A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective. - Gaoxia Jiang; Wenjian Wang; Yuhua Qian; Jiye Liang (J. Mach. Learn. Res., 2021)

Which Is More Effective in Label Noise Cleaning, Correction or Filtering? - Gaoxia Jiang; Jia Zhang; Xuefei Bai; Wenjian Wang; Deyu Meng (AAAI, 2024)

A general elevating framework for label noise filters. - Qingqiang Chen; Gaoxia Jiang; Fuyuan Cao; Changqian Men; Wenjian Wang (Pattern Recognit., 2024)

Noise cleaning for nonuniform ordinal labels based on inter-class distance. - Gaoxia Jiang; Fei Wang; Wenjian Wang (Appl. Intell., 2024)

Maximum a posteriori estimation and filtering algorithm for numerical label noise. - Gaoxia Jiang; Zhengying Li; Wenjian Wang (Appl. Intell., 2024)

Directional Label Diffusion Model for Learning from Noisy Labels. - Senyu Hou; Gaoxia Jiang; Jia Zhang; Shangrong Yang; Husheng Guo; Yaqing Guo; Wenjian Wang (CVPR, 2025)

Outlier-trimmed dual-interval smoothing loss for sample selection in learning with noisy labels. - Senyu Hou; Maolong Xu; Gaoxia Jiang; Yaqing Guo; Wenjian Wang (Neural Networks, 2025)

An interpretable sample selection framework against numerical label noise. - Gaoxia Jiang; Wenjian Wang (Mach. Learn., 2025)

A multi-model dynamic filtering of label noise for regression. - Gaoxia Jiang; Fan Lei; Wenjian Wang (Pattern Recognit., 2026)