| 2025 | AAAI | Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning. | Weijian Ma, Ruoxin Chen, Ke-Yue Zhang, Shuang Wu, Shouhong Ding |
| 2025 | ICCV | A Generalizable Face Security Detection Method via Unified Texture and Semantic Feature Framework. | Ke-Yue Zhang, Ruoxin Chen, Jiamu Sun, Jiangming Wang, Hao Yang, Taiping Yao, Shouhong Ding |
| 2024 | ICLR | InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. | Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan |
| 2023 | ICASSP | Towards Practical Edge Inference Attacks Against Graph Neural Networks. | Kailai Li, Jiawei Sun, Ruoxin Chen, Wei Ding, Kexue Yu, Jie Li, Chentao Wu |
| 2022 | AAAI | Input-Specific Robustness Certification for Randomized Smoothing. | Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng |
| 2022 | ICML | On Collective Robustness of Bagging Against Data Poisoning. | Ruoxin Chen, Zenan Li, Jie Li, Junchi Yan, Chentao Wu |