Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration. - Haoyu Cao 001; Changcun Bao; Chaohu Liu; Huang Chen; Kun Yin; Hao Liu 003; Yinsong Liu; Deqiang Jiang; Xing Sun 001 (ICCV, 2023)

HRVDA: High-Resolution Visual Document Assistant. - Chaohu Liu; Kun Yin; Haoyu Cao 001; Xinghua Jiang; Xin Li; Yinsong Liu; Deqiang Jiang; Xing Sun 001; Linli Xu (CVPR, 2024)

Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models. - Yubo Wang; Chaohu Liu; Yanqiu Qu; Haoyu Cao 001; Deqiang Jiang; Linli Xu (ACM Multimedia, 2024)

Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images. - Yubo Wang; Jianting Tang; Chaohu Liu; Linli Xu (ICLR, 2025)

AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization. - Chaohu Liu; Tianyi Gui; Yu Liu; Linli Xu (CoRR, 2025)

FPEdit: Robust LLM Fingerprinting through Localized Knowledge Editing. - Shida Wang; Chaohu Liu; Yubo Wang; Linli Xu (CoRR, 2025)