Ruoxin Chen

According to our database, Ruoxin Chen authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection.

Ruiqi Liu, Manni Cui, Ziheng Qin, Zhiyuan Yan, Ruoxin Chen, Yi Han, Zhiheng Li, Junkai Chen, ZhiJin Chen, Kaiqing Lin, Jialiang Shen, Lubin Weng, Jing Dong, Yan Wang, Shu Wu

CoRR, February, 2026

Autorep: Automatic network search with structured reparameterized based linear operation expansion and gradient proxy guided reduction.

Guhao Qiu, Ruoxin Chen, Zhihua Chen, Lei Dai, Ping Li, Bin Sheng

Neural Networks, 2026

2025

Task-Model Alignment: A Simple Path to Generalizable AI-Generated Image Detection.

Ruoxin Chen, Jiahui Gao, Kaiqing Lin, Ke-Yue Zhang, Yandan Zhao, Isabel Guan, Taiping Yao, Shouhong Ding

CoRR, December, 2025

Seeing Before Reasoning: A Unified Framework for Generalizable and Explainable Fake Image Detection.

Kaiqing Lin, Zhiyuan Yan, Ruoxin Chen, Junyan Ye, Ke-Yue Zhang, Yue Zhou, Peng Jin, Bin Li, Taiping Yao, Shouhong Ding

CoRR, September, 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

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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