PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity. - Yan Gu; Jicong Duan; Hualong Yu; Xibei Yang; Shang Gao 001 (Appl. Intell., 2023)

A partition-based problem transformation algorithm for classifying imbalanced multi-label data. - Jicong Duan; Xibei Yang; Shang Gao 001; Hualong Yu (Eng. Appl. Artif. Intell., 2024)

ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data. - Jicong Duan; Yan Gu; Hualong Yu; Xibei Yang; Shang Gao 001 (Expert Syst. Appl., 2024)

Explainable Learning Outcomes Prediction: Information Fusion Based on Grades Time-Series and Student Behaviors. - Yuan-Hao Jiang; Zi-Wei Chen; Cong Zhao; Kezong Tang; Jicong Duan; Yizhou Zhou (CHI Extended Abstracts, 2025)

ISSMLCF: an inductive semi-supervised multi-label learning algorithm with co-forest paradigm. - Wenhao Liu; Jicong Duan; Changbin Shao; Xibei Yang; Sen Xu; Hualong Yu (Appl. Intell., 2025)