Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. - Liang Chen 030; Yong Zhang 034; Yibing Song; Lingqiao Liu; Jue Wang 001 (CVPR, 2022)

OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training. - Liang Chen 030; Yong Zhang 034; Yibing Song; Jue Wang 001; Lingqiao Liu (NeurIPS, 2022)

Improved Test-Time Adaptation for Domain Generalization. - Liang Chen 030; Yong Zhang 034; Yibing Song; Ying Shan; Lingqiao Liu (CVPR, 2023)

Domain Generalization via Rationale Invariance. - Liang Chen 030; Yong Zhang 034; Yibing Song; Anton van den Hengel; Lingqiao Liu (ICCV, 2023)

LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization. - Liang Chen 030; Yong Zhang 034; Yibing Song; Zhiqiang Shen; Lingqiao Liu (NeurIPS, 2024)

A Causal Inspired Early-Branching Structure for Domain Generalization. - Liang Chen 030; Yong Zhang 034; Yibing Song; Zhen Zhang 008; Lingqiao Liu (Int. J. Comput. Vis., 2024)

Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering. - Liang Chen 030; Zhe Xue; Yawen Li 001; Meiyu Liang; Yan Wang; Anton van den Hengel; Yuankai Qi (CVPR, 2025)

One Last Attention for Your Vision-Language Model. - Liang Chen 030; Ghazi Shazan Ahmad; Tianjun Yao; Lingqiao Liu; Zhiqiang Shen (CoRR, 2025)