| 2026 | AAAI | ENHash: Error Notebook-Guided Fine-Grained Learning for Unsupervised Cross-Modal Hashing. | Hao Fu, Zebing Yao, Chuangchuang Tan, Guanghua Gu |
| 2026 | AAAI | RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking. | Yehan Sun, Rongrong Ni, Chuangchuang Tan, Huan Liu, Wenhao Ni, Renshuai Tao, Yao Zhao |
| 2025 | AAAI | C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. | Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei |
| 2025 | AAAI | ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks. | Renshuai Tao, Manyi Le, Chuangchuang Tan, Huan Liu, Haotong Qin, Yao Zhao |
| 2025 | IJCAI | Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection. | Renshuai Tao, Ziheng Qin, Yifu Ding, Chuangchuang Tan, Jiakai Wang, Wei Wang |
| 2024 | AAAI | Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning. | Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei |
| 2024 | CVPR | Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection. | Huan Liu, Zichang Tan, Chuangchuang Tan, Yunchao Wei, Jingdong Wang, Yao Zhao |
| 2024 | CVPR | Rethinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection. | Chuangchuang Tan, Huan Liu, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei |
| 2023 | CVPR | Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection. | Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Yunchao Wei |