| 2024 | AAAI | Federated X-armed Bandit. | Wenjie Li, Qifan Song, Jean Honorio, Guang Lin |
| 2024 | AISTATS | Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. | Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng |
| 2024 | AISTATS | Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability. | Rajdeep Haldar, Yue Xing, Qifan Song |
| 2024 | AISTATS | Personalized Federated X-armed Bandit. | Wenjie Li, Qifan Song, Jean Honorio |
| 2024 | AISTATS | Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes. | Jinwon Sohn, Qifan Song, Guang Lin |
| 2024 | UAI | Support Recovery in Sparse PCA with General Missing Data. | Hanbyul Lee, Qifan Song, Jean Honorio |
| 2022 | AISTATS | Unlabeled Data Help: Minimax Analysis and Adversarial Robustness. | Yue Xing, Qifan Song, Guang Cheng |
| 2021 | AISTATS | Predictive Power of Nearest Neighbors Algorithm under Random Perturbation. | Yue Xing, Qifan Song, Guang Cheng |
| 2021 | AISTATS | On the Generalization Properties of Adversarial Training. | Yue Xing, Qifan Song, Guang Cheng |