Discriminatively Relabel for Partial Multi-label Learning. - Shuo He 001; Ke Deng; Li Li 006; Senlin Shu; Li Liu 001 (ICDM, 2019)

Learning from Multi-Class Positive and Unlabeled Data. - Senlin Shu; Zhuoyi Lin; Yan Yan; Li Li 006 (ICDM, 2020)

Can Cross Entropy Loss Be Robust to Label Noise? - Lei Feng 006; Senlin Shu; Zhuoyi Lin; Fengmao Lv; Li Li 006; Bo An 001 (IJCAI, 2020)

Incorporating Multiple Cluster Centers for Multi-Label Learning. - Senlin Shu; Fengmao Lv; Lei Feng 006; Jun Huang 003; Shuo He 001; Jun He 012; Li Li 006 (CoRR, 2020)

Pointwise Binary Classification with Pairwise Confidence Comparisons. - Lei Feng 006; Senlin Shu; Nan Lu; Bo Han 003; Miao Xu 001; Gang Niu 001; Bo An 001; Masashi Sugiyama (ICML, 2021)

Multiple-Instance Learning from Similar and Dissimilar Bags. - Lei Feng 006; Senlin Shu; Yuzhou Cao; Lue Tao; Hongxin Wei; Tao Xiang 001; Bo An 001; Gang Niu 001 (KDD, 2021)

Multi-Class Classification from Single-Class Data with Confidences. - Yuzhou Cao; Lei Feng 006; Senlin Shu; Yitian Xu; Bo An 001; Gang Niu 001; Masashi Sugiyama (CoRR, 2021)

Incorporating multiple cluster centers for multi-label learning. - Senlin Shu; Fengmao Lv; Yan Yan; Li Li 006; Shuo He 001; Jun He 012 (Inf. Sci., 2022)

Regularized Matrix Factorization for Multilabel Learning With Missing Labels. - Lei Feng 006; Jun Huang 003; Senlin Shu; Bo An 001 (IEEE Trans. Cybern., 2022)

A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. - Senlin Shu; Shuo He 001; Haobo Wang 001; Hongxin Wei; Tao Xiang 001; Lei Feng 006 (AAAI, 2023)

Gemini: A Dual-Task Co-training Model for Partial Label Learning. - Beibei Li 001; Senlin Shu; Beihong Jin; Tao Xiang 001; Yiyuan Zheng (AI (1), 2023)

Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. - Lei Feng 006; Senlin Shu; Yuzhou Cao; Lue Tao; Hongxin Wei; Tao Xiang 001; Bo An 001; Gang Niu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Consistent Multi-Class Classification from Multiple Unlabeled Datasets. - Zixi Wei; Senlin Shu; Yuzhou Cao; Hongxin Wei; Bo An 001; Lei Feng 006 (ICLR, 2024)

Multiple-instance Learning from Triplet Comparison Bags. - Senlin Shu; Deng-Bao Wang; Suqin Yuan; Hongxin Wei; Jiuchuan Jiang; Lei Feng 006; Min-Ling Zhang (ACM Trans. Knowl. Discov. Data, 2024)

Online binary classification from similar and dissimilar data. - Senlin Shu; Haobo Wang 001; Zhuowei Wang 003; Bo Han 003; Tao Xiang 001; Bo An 001; Lei Feng 006 (Mach. Learn., 2024)

An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes. - Jiayu Hu; Senlin Shu; Beibei Li 001; Tao Xiang 001; Zhongshi He (ACM Trans. Intell. Syst. Technol., 2024)

Multiple-Instance Learning from Pairwise Comparison Bags. - Shengjie Zhou; Senlin Shu; Haobo Wang 001; Hongxin Wei; Tao Xiang 001; Beibei Li 001 (ACM Trans. Intell. Syst. Technol., 2024)