| 2026 | ICPR | MOSAIC: Orchestrating Collaborative Knowledge Tracing with Hierarchical Semantic Alignment. | Xinjin Li, Mengyue Wang, Yuzhen Lin, Pengbin Feng, Ziqi Sha, Yeyang Zhou, Yu Ma |
| 2026 | MMM | CEMG: Collaborative-Enhanced Multimodal Generative Recommendation. | Yuzhen Lin, Hongyi Chen, Xuanjing Chen, Shaowen Wang, Ivonne Xu, Dongming Jiang |
| 2025 | AAAI | Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection. | Kaiqing Lin, Yuzhen Lin, Weixiang Li, Taiping Yao, Bin Li |
| 2025 | AAAI | Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization. | Zeqin Yu, Jiangqun Ni, Jian Zhang, Haoyi Deng, Yuzhen Lin |
| 2025 | CSCWD | Federated Learning for Heterogeneous Data Integration and Privacy Protection. | Chenwei Gong, Xuyang Zhang, Yuzhen Lin, Pei-Chiang Su, Hang Lu, Jingwei Zhang |
| 2024 | CVPR | DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization. | Zeqin Yu, Jiangqun Ni, Yuzhen Lin, Haoyi Deng, Bin Li |
| 2024 | ECCV | Fake It till You Make It: Curricular Dynamic Forgery Augmentations Towards General Deepfake Detection. | Yuzhen Lin, Wentang Song, Bin Li, Yuezun Li, Jiangqun Ni, Han Chen, Qiushi Li |
| 2024 | ICASSP | Towards Generic Deepfake Detection with Dynamic Curriculum. | Wentang Song, Yuzhen Lin, Bin Li |
| 2023 | ICASSP | Learning to Locate the Text Forgery in Smartphone Screenshots. | Zeqin Yu, Bin Li, Yuzhen Lin, Jinhua Zeng, Jishen Zeng |
| 2022 | ACCV | Exposing Face Forgery Clues via Retinex-Based Image Enhancement. | Han Chen, Yuzhen Lin, Bin Li |
| 2022 | ICIP | Towards Generalizable DEEPFAKE Face Forgery Detection with Semi-Supervised Learning and Knowledge Distillation. | Yuzhen Lin, Han Chen, Bin Li, Junqiang Wu |