Jun-Peng Fang

According to our database, Jun-Peng Fang authored at least 5 papers between 2021 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2022

BiLabel-Specific Features for Multi-Label Classification.

Min-Ling Zhang, Jun-Peng Fang, Yi-Bo Wang

ACM Trans. Knowl. Discov. Data, 2022

Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances.

Jun-Peng Fang, Jun Zhou, Qing Cui, Caizhi Tang, Longfei Li

Int. J. Pattern Recognit. Artif. Intell., 2022

Semi-Supervised Learning with Data Augmentation for Tabular Data.

Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

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

IEEE Trans. Knowl. Data Eng., 2021

Partial Multi-Label Learning via Credible Label Elicitation.

Min-Ling Zhang, Jun-Peng Fang

IEEE Trans. Pattern Anal. Mach. Intell., 2021