Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection. - Bingyao Yu; Wanhua Li 001; Xiu Li 001; Jiwen Lu; Jie Zhou 001 (ICCV, 2021)

Salience-Aware Face Presentation Attack Detection via Deep Reinforcement Learning. - Bingyao Yu; Jiwen Lu; Xiu Li 001; Jie Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2022)

TCOVIS: Temporally Consistent Online Video Instance Segmentation. - Junlong Li; Bingyao Yu; Yongming Rao; Jie Zhou 001; Jiwen Lu (ICCV, 2023)

A Learnable Gradient operator for face presentation attack detection. - Caixun Wang; Bingyao Yu; Jie Zhou 001 (Pattern Recognit., 2023)

Discrepancy-Aware Meta-Learning for Zero-Shot Face Manipulation Detection. - Bingyao Yu; Xiu Li 001; Wanhua Li 001; Jie Zhou 001; Jiwen Lu (IEEE Trans. Image Process., 2023)

Uncertainty-aware hierarchical labeling for face forgery detection. - Bingyao Yu; Wanhua Li 001; Xiu Li 001; Jie Zhou 001; Jiwen Lu (Pattern Recognit., 2024)

FakeReasoning: Towards Generalizable Forgery Detection and Reasoning. - Yueying Gao; Dongliang Chang; Bingyao Yu; Haotian Qin; Lei Chen; Kongming Liang; Zhanyu Ma (CoRR, 2025)

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection. - Haotian Qin; Dongliang Chang; Yueying Gao; Bingyao Yu; Lei Chen; Zhanyu Ma (CoRR, 2025)

Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions. - Jinyi Chang; Dongliang Chang; Lei Chen; Bingyao Yu; Zhanyu Ma (CoRR, 2025)

Learning Counterfactually Decoupled Attention for Open-World Model Attribution. - Yu Zheng 015; Boyang Gong; Fanye Kong; Yueqi Duan; Bingyao Yu; Wenzhao Zheng; Lei Chen 069; Jiwen Lu; Jie Zhou 001 (CoRR, 2025)