| 2024 | AISTATS | Consistent Hierarchical Classification with A Generalized Metric. | Yuzhou Cao, Lei Feng, Bo An |
| 2024 | AISTATS | Mitigating Underfitting in Learning to Defer with Consistent Losses. | Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An |
| 2024 | ICLR | Consistent Multi-Class Classification from Multiple Unlabeled Datasets. | Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng |
| 2024 | ICLR | On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. | Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng |
| 2024 | ICML | Exploiting Human-AI Dependence for Learning to Defer. | Zixi Wei, Yuzhou Cao, Lei Feng |
| 2023 | AISTATS | Consistent Complementary-Label Learning via Order-Preserving Losses. | Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An |
| 2023 | ICML | Weakly Supervised Regression with Interval Targets. | Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng |
| 2023 | WCNC | Average Transmission Rate and Energy Efficiency Optimization in UAV-assisted IoT. | Yuzhou Cao, Aimin Wang, Geng Sun, Lingling Liu |
| 2021 | ICML | Learning from Similarity-Confidence Data. | Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama |
| 2021 | KDD | Multiple-Instance Learning from Similar and Dissimilar Bags. | Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu |