Renshuai Tao

@inproceedings{tao2025oddn,
  title = {ODDN: Adddressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks},
  author = {Tao, Renshuai and Le, Manyi and Tan, Chuangchuang and Liu, Huan and Qin, Haotong and Zhao, Yao},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  year = {2025},
}

@inproceedings{tao2025dual,
  title = {Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?},
  author = {Tao, Renshuai and Wang, Haoyu and Guo, Yuzhe and Chen, Hairong and Zhang, Li and Liu, Xianglong and Wei, Yunchao and Zhao, Yao},
  booktitle = {2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year = {2025},
  organization = {IEEE},
}

@inproceedings{tan2025c2p,
  title = {C2p-clip: Injecting category common prompt in clip to enhance generalization in deepfake detection},
  author = {Tan, Chuangchuang and Tao, Renshuai and Liu, Huan and Gu, Guanghua and Wu, Baoyuan and Zhao, Yao and Wei, Yunchao},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  year = {2025},
}

@inproceedings{tao2022few,
  title = {Few-shot x-ray prohibited item detection: A benchmark and weak-feature enhancement network},
  author = {Tao, Renshuai and Wang, Tianbo and Wu, Ziyang and Liu, Cong and Liu, Aishan and Liu, Xianglong},
  booktitle = {Proceedings of the 30th ACM international conference on multimedia},
  pages = {2012--2020},
  year = {2022},
}

@inproceedings{tao2022exploring,
  title = {Exploring endogenous shift for cross-domain detection: A large-scale benchmark and perturbation suppression network},
  author = {Tao, Renshuai and Li, Hainan and Wang, Tianbo and Wei, Yanlu and Ding, Yifu and Jin, Bowei and Zhi, Hongping and Liu, Xianglong and Liu, Aishan},
  booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {21157--21167},
  year = {2022},
  organization = {IEEE},
}

@inproceedings{tao2021towards,
  title = {Towards real-world X-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection},
  author = {Tao, Renshuai and Wei, Yanlu and Jiang, Xiangjian and Li, Hainan and Qin, Haotong and Wang, Jiakai and Ma, Yuqing and Zhang, Libo and Liu, Xianglong},
  booktitle = {Proceedings of the IEEE/CVF international conference on computer vision},
  pages = {10923--10932},
  year = {2021},
  organization = {IEEE},
}

@inproceedings{wei2020occluded,
  title = {Occluded prohibited items detection: An x-ray security inspection benchmark and de-occlusion attention module},
  author = {Wei, Yanlu and Tao, Renshuai and Wu, Zhangjie and Ma, Yuqing and Zhang, Libo and Liu, Xianglong},
  booktitle = {Proceedings of the 28th ACM international conference on multimedia},
  pages = {138--146},
  year = {2020},
}

@article{tao2025sagnet,
  title = {SAGNet: Decoupling Semantic-Agnostic Artifacts from Limited Training Data for Robust Generalization in Deepfake Detection},
  author = {Tao, Renshuai and Tan, Chuangchuang and Liu, Huan and Wang, Jiakai and Qin, Haotong and Chang, Yakun and Wang, Wei and Ni, Rongrong and Zhao, Yao},
  journal = {IEEE Transactions on Information Forensics & Security},
  year = {2025},
  publisher = {IEEE}
}

@inproceedings{wei2020occludee,
  title = {LEDNet: A Multimodal Foundation Model for Robust Deepfake Detection},
  author = {Tao, Renshuai and Tang, Shijie and Qin, Haotong and Wang, Wei and Wei, Yunchao and Zhao, Yao},
  booktitle = {SCIENCE CHINA Information Science},
  year = {2025},
}

@inproceedings{tao2025unlocking,
  title = {Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection},
  author = {Tao, Renshuai and Qin, Ziheng and Ding, Yifu and Tan, Chuangchuang and Wang, Jiakai and Wang, Wei},
  booktitle = {34th International Joint Conference on Artificial Intelligence (IJCAI)},
  year = {2025},
}