Wei Wang

According to our database, Wei Wang authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Realistic Evaluation of Deep Partial-Label Learning Algorithms.

Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical.

Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning with Complementary Labels Revisited: A Consistent Approach via Negative-Unlabeled Learning.

Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama

CoRR, 2023

Binary Classification with Confidence Difference.

Wei Wang, Lei Feng, Yuchen Jiang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps.

Junxiang Mao, Wei Wang, Min-Ling Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Partial Label Learning with Discrimination Augmentation.

Wei Wang, Min-Ling Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization.

Wei Wang, Min-Ling Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020