| 2025 | ICML | Preserving AUC Fairness in Learning with Noisy Protected Groups. | Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu |
| 2023 | AAAI | Minimax AUC Fairness: Efficient Algorithm with Provable Convergence. | Zhenhuan Yang, Yan Lok Ko, Kush R. Varshney, Yiming Ying |
| 2023 | ACML | Outlier Robust Adversarial Training. | Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu |
| 2023 | WWW | Fairness-aware Differentially Private Collaborative Filtering. | Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying |
| 2022 | UAI | Differentially private SGDA for minimax problems. | Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying |
| 2021 | AISTATS | Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss. | Zhenhuan Yang, Yunwen Lei, Siwei Lyu, Yiming Ying |
| 2021 | ICML | Stability and Generalization of Stochastic Gradient Methods for Minimax Problems. | Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying |
| 2020 | ICDM | Stochastic Hard Thresholding Algorithms for AUC Maximization. | Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying |