Balanced Self-Paced Learning for AUC Maximization. - Bin Gu 001; Chenkang Zhang; Huan Xiong; Heng Huang (AAAI, 2022)

Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning. - Chenkang Zhang; Lei Luo 001; Bin Gu 001 (AAAI, 2023)

Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment. - Zihao Yang 001; Chenkang Zhang; Muru Wu; Xujin Liu 001; Lavender Y. Jiang; Kyunghyun Cho; Eric K. Oermann (ACL (student), 2023)

Self-Adaptive Perturbation Radii for Adversarial Training. - Huimin Wu; Wanli Shi; Chenkang Zhang; Bin Gu 001 (KDD, 2023)

Doubly Robust AUC Optimization against Noisy and Adversarial Samples. - Chenkang Zhang; Wanli Shi; Lei Luo 001; Bin Gu 001 (KDD, 2023)

A new large-scale learning algorithm for generalized additive models. - Bin Gu 001; Chenkang Zhang; Zhouyuan Huo; Heng Huang (Mach. Learn., 2023)

Tackle balancing constraints in semi-supervised ordinal regression. - Chenkang Zhang; Heng Huang; Bin Gu 001 (Mach. Learn., 2024)

New Scalable and Efficient Online Pairwise Learning Algorithm. - Bin Gu 001; Runxue Bao; Chenkang Zhang; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)