Ruoxin Chen

According to our database, Ruoxin Chen authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable.

Ruoxin Chen, Junwei Xi, Zhiyuan Yan, Ke-Yue Zhang, Shuang Wu, Jingyi Xie, Xu Chen, Lei Xu, Isabel Guan, Taiping Yao, Shouhong Ding

CoRR, May, 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, April, 2025

Temporal Gradient Inversion Attacks With Robust Optimization.

Bowen Li, Hanlin Gu, Ruoxin Chen, Jie Li, Chentao Wu, Na Ruan, Xueming Si, Lixin Fan

IEEE Trans. Dependable Secur. Comput., 2025

Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach.

Jiawei Sun, Ruoxin Chen, Jie Li, Yue Ding, Chentao Wu, Zhi Liu, Junchi Yan

Neural Networks, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Decoupled Data Augmentation for Improving Image Classification.

Ruoxin Chen, Zhe Wang, Ke-Yue Zhang, Shuang Wu, Jiamu Sun, Shouli Wang, Taiping Yao, Shouhong Ding

CoRR, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Towards Practical Edge Inference Attacks Against Graph Neural Networks.

Kailai Li, Jiawei Sun, Ruoxin Chen, Wei Ding, Kexue Yu, Jie Li, Chentao Wu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

GraphCoCo: Graph Complementary Contrastive Learning.

Jiawei Sun, Junchi Yan, Chentao Wu, Yue Ding, Ruoxin Chen, Xiang Yu, Xinyu Lu, Jie Li

CoRR, 2022

On Collective Robustness of Bagging Against Data Poisoning.

Ruoxin Chen, Zenan Li, Jie Li, Junchi Yan, Chentao Wu

Proceedings of the International Conference on Machine Learning, 2022

Zero-Shot Scene Graph Generation with Knowledge Graph Completion.

Xiang Yu, Ruoxin Chen, Jie Li, Jiawei Sun, Shijing Yuan, Huxiao Ji, Xinyu Lu, Chentao Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Input-Specific Robustness Certification for Randomized Smoothing.

Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Association: Remind Your GAN not to Forget.

Yi Gu, Yuting Gao, Ruoxin Chen, Feiyang Cai, Jie Li, Chentao Wu

CoRR, 2020

A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks.

Ruoxin Chen, Jie Li, Chentao Wu, Bin Sheng, Ping Li

CoRR, 2020