Cao, Juan

21 publications

ICCV 2025 Adversarial Robust Memory-Based Continual Learner Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu

CVPR 2025 Attend to Not Attended: Structure-Then-Detail Token Merging for Post-Training DiT Acceleration Haipeng Fang, Sheng Tang, Juan Cao, Enshuo Zhang, Fan Tang, Tong-Yee Lee

NeurIPS 2025 From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring Yang Li, Qiang Sheng, Yehan Yang, Xueyao Zhang, Juan Cao

ICLR 2025 Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu

AAAI 2024 Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi

CVPR 2024 Make-Your-Anchor: A Diffusion-Based 2D Avatar Generation Framework Ziyao Huang, Fan Tang, Yong Zhang, Xiaodong Cun, Juan Cao, Jintao Li, Tong-Yee Lee

NeurIPSW 2024 Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu

NeurIPSW 2024 Pruning for Robust Concept Erasing in Diffusion Models Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu

NeurIPS 2024 Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation Ruize Zhang, Sheng Tang, Juan Cao

IJCAI 2024 Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang

CVPR 2024 U-VAP: User-Specified Visual Appearance Personalization via Decoupled Self Augmentation You Wu, Kean Liu, Xiaoyue Mi, Fan Tang, Juan Cao, Jintao Li

AAAI 2023 ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation Guang Yang, Juan Cao, Danding Wang, Peng Qi, Jintao Li

AAAI 2023 FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua

CVPR 2023 Progressive Open Space Expansion for Open-Set Model Attribution Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang

ECML-PKDD 2023 Quantifying Robustness to Adversarial Word Substitutions Yuting Yang, Pei Huang, Juan Cao, Feifei Ma, Jian Zhang, Jintao Li

ICCV 2023 SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection Zhihao Sun, Haoran Jiang, Danding Wang, Xirong Li, Juan Cao

AAAI 2022 DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection Guang Yang, Juan Cao, Qiang Sheng, Peng Qi, Xirong Li, Jintao Li

AAAI 2022 Deepfake Network Architecture Attribution Tianyun Yang, Ziyao Huang, Juan Cao, Lei Li, Xirong Li

ICCV 2021 Image Manipulation Detection by Multi-View Multi-Scale Supervision Xinru Chen, Chengbo Dong, Jiaqi Ji, Juan Cao, Xirong Li

CVPR 2021 Progressive Domain Expansion Network for Single Domain Generalization Lei Li, Ke Gao, Juan Cao, Ziyao Huang, Yepeng Weng, Xiaoyue Mi, Zhengze Yu, Xiaoya Li, Boyang Xia

AAAI 2016 News Verification by Exploiting Conflicting Social Viewpoints in Microblogs Zhiwei Jin, Juan Cao, Yongdong Zhang, Jiebo Luo