Selected Publications

(* Equal contribution)

1. Zixi Wei*, Senlin Shu*, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng.
   Consistent Multi-Class Classification from Multiple Unlabeled Datasets.
   Proceedings of the Twelfth International Conference on Learning Representations (ICLR'24), accepted, 2024.
   

2. Senlin Shu, Deng-Bao Wang, Suqin Yuan, Hongxin Wei, Jiuchuan Jiang, Lei Feng, Min-Ling Zhang.
   Multiple-instance Learning from Triplet Comparison Bags.
   ACM Transactions on Knowledge Discovery from Data (TKDD), accepted, 2024.
   

3. Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng.
   A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.
   Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23), pp. 9829-9836, 2023.
   (Acceptance Rate: 19.6%)

4. Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng.
   Online Binary Classification from Similar and Dissimilar Data.
   Machine Learning (MLJ), accepted, 2023.
   

5. Senlin Shu, Fengmao Lv, Yan Yan, Li Li, Shuo He, Jun He.
   Incorporating multiple cluster centers for multi-label learning.
   Information Sciences (INS), pp. 60-73, 2022.
   

6. Senlin Shu, Zhuoyi Lin, Yan Yan, Li Li.
   Learning from Multi-Class Positive and Unlabeled Data.
   Proceedings of IEEE International Conference on Data Mining (ICDM'20), pp. 1256-1261, 2020.