Senlin Shu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Binary Classification

Cluster Centers

Top Venues

IEEE Trans. Cybern.

Publications

Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
Online binary classification from similar and dissimilar data. Mach. Learn. 113 (6) (2024)
Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR (2024)
Senlin Shu, Deng-Bao Wang, Suqin Yuan, Hongxin Wei, Jiuchuan Jiang, Lei Feng, Min-Ling Zhang
Multiple-instance Learning from Triplet Comparison Bags. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Beibei Li, Senlin Shu, Beihong Jin, Tao Xiang, Yiyuan Zheng
Gemini: A Dual-Task Co-training Model for Partial Label Learning. AI (1) (2023)
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. AAAI (2023)
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. CoRR (2023)
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Lei Feng, Jun Huang, Senlin Shu, Bo An
Regularized Matrix Factorization for Multilabel Learning With Missing Labels. IEEE Trans. Cybern. 52 (5) (2022)
Senlin Shu, Fengmao Lv, Yan Yan, Li Li, Shuo He, Jun He
Incorporating multiple cluster centers for multi-label learning. Inf. Sci. 590 (2022)
Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
Multi-Class Classification from Single-Class Data with Confidences. CoRR (2021)
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
Multiple-Instance Learning from Similar and Dissimilar Bags. KDD (2021)
Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
Pointwise Binary Classification with Pairwise Confidence Comparisons. ICML (2021)
Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An
Can Cross Entropy Loss Be Robust to Label Noise? IJCAI (2020)
Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
Pointwise Binary Classification with Pairwise Confidence Comparisons. CoRR (2020)
Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li
Incorporating Multiple Cluster Centers for Multi-Label Learning. CoRR (2020)
Senlin Shu, Zhuoyi Lin, Yan Yan, Li Li
Learning from Multi-Class Positive and Unlabeled Data. ICDM (2020)
Shuo He, Ke Deng, Li Li, Senlin Shu, Li Liu
Discriminatively Relabel for Partial Multi-label Learning. ICDM (2019)