Approximation Analysis of Gradient Descent Algorithm for Bipartite Ranking. - Hong Chen 004; Fangchao He; Zhibin Pan (J. Appl. Math., 2012)

Statistical analysis of the moving least-squares method with unbounded sampling. - Fangchao He; Hong Chen 004; Luoqing Li (Inf. Sci., 2014)

Stability analysis for ranking with stationary φ-mixing samples. - Fangchao He; Ling Zuo; Hong Chen 004 (Neurocomputing, 2016)

Optimality of regularized least squares ranking with imperfect kernels. - Fangchao He; Yu Zeng; Lie Zheng; Qiang Wu 003 (Inf. Sci., 2022)

Analysis of regularized least squares ranking with centered reproducing kernel. - Fangchao He; Lie Zheng (Int. J. Wavelets Multiresolution Inf. Process., 2024)