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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski