Partial Label Learning with Unlabeled Data. - Qian-Wei Wang; Yufeng Li 008; Zhi-Hua Zhou (IJCAI, 2019)

Learning from Weak-Label Data: A Deep Forest Expedition. - Qian-Wei Wang; Liang Yang; Yufeng Li 008 (AAAI, 2020)

Towards Mitigating the Problem of Insufficient and Ambiguous Supervision in Online Crowdsourcing Annotation. - Qian-Wei Wang; Bowen Zhao 003; Mingyan Zhu; Tianxiang Li; Zimo Liu; Shu-Tao Xia (CoRR, 2022)

Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment. - Bowen Zhao 003; Chen Chen 015; Qian-Wei Wang; Anfeng He; Shutao Xia (AAAI, 2023)

LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit. - Tianxiang Li; Bin Chen 011; Qian-Wei Wang; Yujun Huang; Shu-Tao Xia (ICIP, 2023)

Controller-Guided Partial Label Consistency Regularization with Unlabeled Data. - Qian-Wei Wang; Bowen Zhao 003; Mingyan Zhu; Tianxiang Li; Zimo Liu; Shu-Tao Xia (AAAI, 2024)

Pre-Trained Vision-Language Models as Partial Annotators. - Qian-Wei Wang; Yuqiu Xie; Letian Zhang; Zimo Liu; Shu-Tao Xia (CoRR, 2024)

Delving into Identify-Emphasize Paradigm for Combating Unknown Bias. - Bowen Zhao 003; Chen Chen 015; Qian-Wei Wang; Anfeng He; Shu-Tao Xia (Int. J. Comput. Vis., 2024)

Pre-Trained Vision-Language Models as Noisy Partial Annotators. - Qian-Wei Wang; Yuqiu Xie; Letian Zhang; Zimo Liu; Shu-Tao Xia (AAAI, 2025)

Pre-trained Vision-Language Models Assisted Noisy Partial Label Learning. - Qian-Wei Wang; Yuqiu Xie; Letian Zhang; Zimo Liu; Shu-Tao Xia (CoRR, 2025)