Statistics
Publications
6
Citations
207
H-Index
6
Active since
2019
Senlin Shu is an author at Southwest University specializing in data science, supervised learning, and semi-supervised learning.
Publications per year
2019–2022
6
6
Can Cross Entropy Loss Be Robust to Label Noise?
Lei Feng, Senlin Shu, Zhuoyi Lin et al. · 2020 · 127 citations · Full text
Regularized Matrix Factorization for Multilabel Learning With Missing Labels
Lei Feng, Jun Huang, Senlin Shu et al. · IEEE Transactions on Cybernetics · 2020 · 28 citations
Learning from Multi-class Positive and Unlabeled Data
Senlin Shu, Zhuoyi Lin, Yan Yan et al. · 2020 · 15 citations
Discriminatively Relabel for Partial Multi-label Learning
Shuo He, Ke Deng, Li Li et al. · 2019 · 14 citations
Artificial Intelligence, Mathematical Programming, Model Optimization +15
Incorporating multiple cluster centers for multi-label learning
Senlin Shu, Fengmao Lv, Yan Yan et al. · Information Sciences · 2022 · 12 citations
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