Wei Wang

About Wei Wang

Wei Wang, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at Southeast University, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Binary Classification with Confidence Difference

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

Partial Label Learning with Discrimination Augmentation

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

Wei Wang Information

University

Position

School of Computer Science and Engineering

Citations(all)

30

Citations(since 2020)

30

Cited By

0

hIndex(all)

2

hIndex(since 2020)

2

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Wei Wang Skills & Research Interests

Machine Learning

Top articles of Wei Wang

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

arXiv preprint arXiv:2311.15502

2023/11/27

Binary Classification with Confidence Difference

Advances in Neural Information Processing Systems

2024/2/13

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

2023/8/19

Partial Label Learning with Discrimination Augmentation

2022/8/14

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

Advances in Neural Information Processing Systems

2020

See List of Professors in Wei Wang University(Southeast University)