Partial Multi-Label Learning via Credible Label Elicitation. - Min-Ling Zhang; Jun-Peng Fang (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning. - Min-Ling Zhang; Qian-Wen Zhang; Jun-Peng Fang; Yu-Kun Li; Xin Geng 001 (IEEE Trans. Knowl. Data Eng., 2021)

Semi-Supervised Learning with Data Augmentation for Tabular Data. - Jun-Peng Fang; Caizhi Tang; Qing Cui; Feng Zhu 011; Longfei Li; Jun Zhou 011; Wei Zhu (CIKM, 2022)

Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances. - Jun-Peng Fang; Jun Zhou 011; Qing Cui; Caizhi Tang; Longfei Li (Int. J. Pattern Recognit. Artif. Intell., 2022)

BiLabel-Specific Features for Multi-Label Classification. - Min-Ling Zhang; Jun-Peng Fang; Yi-Bo Wang (ACM Trans. Knowl. Discov. Data, 2022)