| 2025 | ICCV | TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning. | Siqi Luo, Haoran Yang, Yi Xin, Mingyang Yi, Guangyang Wu, Guangtao Zhai, Xiaohong Liu |
| 2025 | ICLR | Improved Diffusion-based Generative Model with Better Adversarial Robustness. | Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma |
| 2023 | ICLR | Towards the Generalization of Contrastive Self-Supervised Learning. | Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang |
| 2023 | ICLR | Breaking Correlation Shift via Conditional Invariant Regularizer. | Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma |
| 2022 | CVPR | Out-of-distribution Generalization with Causal Invariant Transformations. | Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu |
| 2022 | UAI | Accelerating training of batch normalization: A manifold perspective. | Mingyang Yi |
| 2021 | ICLR | Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. | Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma |
| 2021 | ICML | Improved OOD Generalization via Adversarial Training and Pretraing. | Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma |
| 2019 | ICONIP | Improving Deep Learning by Regularized Scale-Free MSE of Representations. | Xufang Luo, Mingyang Yi, Yunhong Wang |
| 2019 | IJCAI | BN-invariant Sharpness Regularizes the Training Model to Better Generalization. | Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu |