Li, Changchun

11 publications

NeurIPS 2025 A Closer Look to Positive-Unlabeled Learning from Fine-Grained Perspectives: An Empirical Study Yuanchao Dai, Zhengzhang Hou, Changchun Li, Yuanbo Xu, En Wang, Ximing Li

NeurIPS 2025 Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Jianfeng Qu, Renchu Guan

ICML 2025 Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification Yuanchao Dai, Ximing Li, Changchun Li

IJCAI 2025 Robust Misinformation Detection by Visiting Potential Commonsense Conflict Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Shengsheng Wang

ICML 2024 Positive and Unlabeled Learning with Controlled Probability Boundary Fence Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang

NeurIPS 2024 Semi-Supervised Multi-Label Learning with Balanced Binary Angular Margin Loss Ximing Li, Silong Liang, Changchun Li, Pengfei Wang, Fangming Gu

IJCAI 2024 WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang

AAAI 2023 Learning with Partial Labels from Semi-Supervised Perspective Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang

IJCAI 2022 Weakly-Supervised Text Classification with Wasserstein Barycenters Regularization Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li

ICLR 2022 Who Is Your Right Mixup Partner in Positive and Unlabeled Learning Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang

IJCAI 2018 Variance Reduction in Black-Box Variational Inference by Adaptive Importance Sampling Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang