Wei Wang

11 papers A* 6Journal 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms.
CoRR
Wei Wang, Dong-Dong Wu, Ming Li, Jingxiong Zhang, Gang Niu, Masashi Sugiyama
2025 A* conf
Realistic Evaluation of Deep Partial-Label Learning Algorithms.
ICLR
Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
2025 J jnl
Realistic Evaluation of Deep Partial-Label Learning Algorithms.
CoRR
Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
2025 J jnl
Rethinking Consistent Multi-Label Classification under Inexact Supervision.
CoRR
Wei Wang, Tianhao Ma, Ming-Kun Xie, Gang Niu, Masashi Sugiyama
2024 A* conf
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical.
ICML
Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama
2023 A* conf
Binary Classification with Confidence Difference.
NeurIPS
Wei Wang, Lei Feng, Yuchen Jiang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
2023 J jnl
Binary Classification with Confidence Difference.
CoRR
Wei Wang, Lei Feng, Yuchen Jiang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
2023 A* conf
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps.
IJCAI
Junxiang Mao, Wei Wang, Min-Ling Zhang
2023 J jnl
Learning with Complementary Labels Revisited: A Consistent Approach via Negative-Unlabeled Learning.
CoRR
Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama
2022 A* conf
Partial Label Learning with Discrimination Augmentation.
KDD
Wei Wang, Min-Ling Zhang
2020 A* conf
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization.
NeurIPS
Wei Wang, Min-Ling Zhang