Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends. - Xinrui Wang 003; Wenhai Wan; Chuanxing Geng; Shaoyuan Li; Songcan Chen (NeurIPS, 2023)

Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning. - Wenhai Wan; Xinrui Wang 003; Ming-Kun Xie; Shengjun Huang; Songcan Chen; Shaoyuan Li (CoRR, 2023)

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. - Wenhai Wan; Xinrui Wang 003; Ming-Kun Xie; Shao-Yuan Li; Sheng-Jun Huang; Songcan Chen (AAAI, 2024)

Adaptive Federated Minimax Optimization with Lower Complexities. - Feihu Huang 001; Xinrui Wang 003; Junyi Li; Songcan Chen (AISTATS, 2024)

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning. - Xinrui Wang 003; Chuanxing Geng; Wenhai Wan; Shao-Yuan Li; Songcan Chen (NeurIPS, 2024)

A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends. - Xiang Li; Jiexi Liu 001; Xinrui Wang 003; Songcan Chen (CoRR, 2024)

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning. - Xinrui Wang 003; Chuanxing Geng; Wenhai Wan; Shaoyuan Li; Songcan Chen (CoRR, 2024)

Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization. - Feihu Huang 001; Chunyu Xuan; Xinrui Wang 003; Siqi Zhang; Songcan Chen (AISTATS, 2025)

Pushing one pair of labels apart each time in multi-label learning: from single positive to full labels. - Xiang Li; Xinrui Wang 003; Songcan Chen (Sci. China Inf. Sci., 2025)

Filter, Obstruct and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning. - Xinrui Wang 003; Chuanxing Geng; Wenhai Wan; Shaoyuan Li; Songcan Chen (CoRR, 2025)