A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks. - Ruoxin Chen; Jie Li 002; Chentao Wu; Bin Sheng 001; Ping Li 016 (CoRR, 2020)

Association: Remind Your GAN not to Forget. - Yi Gu; Yuting Gao; Ruoxin Chen; Feiyang Cai; Jie Li 002; Chentao Wu (CoRR, 2020)

Input-Specific Robustness Certification for Randomized Smoothing. - Ruoxin Chen; Jie Li 002; Junchi Yan; Ping Li 016; Bin Sheng 001 (AAAI, 2022)

Zero-Shot Scene Graph Generation with Knowledge Graph Completion. - Xiang Yu; Ruoxin Chen; Jie Li 002; Jiawei Sun; Shijing Yuan; Huxiao Ji; Xinyu Lu; Chentao Wu (ICME, 2022)

On Collective Robustness of Bagging Against Data Poisoning. - Ruoxin Chen; Zenan Li; Jie Li 002; Junchi Yan; Chentao Wu (ICML, 2022)

GraphCoCo: Graph Complementary Contrastive Learning. - Jiawei Sun; Junchi Yan; Chentao Wu; Yue Ding 001; Ruoxin Chen; Xiang Yu; Xinyu Lu; Jie Li 002 (CoRR, 2022)

Towards Practical Edge Inference Attacks Against Graph Neural Networks. - Kailai Li 002; Jiawei Sun; Ruoxin Chen; Wei Ding; Kexue Yu; Jie Li 002; Chentao Wu (ICASSP, 2023)

InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. - Jiawei Sun; Kailai Li 002; Ruoxin Chen; Jie Li 002; Chentao Wu; Yue Ding 001; Junchi Yan (ICLR, 2024)

Decoupled Data Augmentation for Improving Image Classification. - Ruoxin Chen; Zhe Wang; Ke-Yue Zhang; Shuang Wu 001; Jiamu Sun; Shouli Wang; Taiping Yao; Shouhong Ding (CoRR, 2024)

Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning. - Weijian Ma; Ruoxin Chen; Ke-Yue Zhang; Shuang Wu 001; Shouhong Ding (AAAI, 2025)

Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach. - Jiawei Sun; Ruoxin Chen; Jie Li 002; Yue Ding 001; Chentao Wu; Zhi Liu 002; Junchi Yan (Neural Networks, 2025)

Temporal Gradient Inversion Attacks With Robust Optimization. - Bowen Li 013; Hanlin Gu; Ruoxin Chen; Jie Li 002; Chentao Wu; Na Ruan; Xueming Si; Lixin Fan (IEEE Trans. Dependable Secur. Comput., 2025)

All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning. - Zheng Yang; Ruoxin Chen; Zhiyuan Yan; Ke-Yue Zhang; Xinghe Fu; Shuang Wu; Xiujun Shu; Taiping Yao; Junchi Yan; Shouhong Ding; Xi Li (CoRR, 2025)

Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable. - Ruoxin Chen; Junwei Xi; Zhiyuan Yan; Ke-Yue Zhang; Shuang Wu 001; Jingyi Xie; Xu Chen; Lei Xu; Isabel Guan; Taiping Yao; Shouhong Ding (CoRR, 2025)