Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization. - Wei Wang 373; Min-Ling Zhang (NeurIPS, 2020)

Partial Label Learning with Discrimination Augmentation. - Wei Wang 373; Min-Ling Zhang (KDD, 2022)

Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps. - Junxiang Mao; Wei Wang 373; Min-Ling Zhang (IJCAI, 2023)

Binary Classification with Confidence Difference. - Wei Wang 373; Lei Feng 006; Yuchen Jiang; Gang Niu 001; Min-Ling Zhang; Masashi Sugiyama (NeurIPS, 2023)

Learning with Complementary Labels Revisited: A Consistent Approach via Negative-Unlabeled Learning. - Wei Wang 373; Takashi Ishida 001; Yu-Jie Zhang; Gang Niu 001; Masashi Sugiyama (CoRR, 2023)

Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical. - Wei Wang 373; Takashi Ishida 001; Yu-Jie Zhang; Gang Niu 001; Masashi Sugiyama (ICML, 2024)

Realistic Evaluation of Deep Partial-Label Learning Algorithms. - Wei Wang 373; Dong-Dong Wu; Jindong Wang 001; Gang Niu 001; Min-Ling Zhang; Masashi Sugiyama (ICLR, 2025)