Anomaly Detection under Distribution Shift. - Tri Cao; Jiawen Zhu 001; Guansong Pang (ICCV, 2023)

Anomaly Heterogeneity Learning for Open-Set Supervised Anomaly Detection. - Jiawen Zhu 001; Choubo Ding; Yu Tian 001; Guansong Pang (CVPR, 2024)

Toward Generalist Anomaly Detection via In-Context Residual Learning with Few-Shot Sample Prompts. - Jiawen Zhu 001; Guansong Pang (CVPR, 2024)

Fine-Grained Abnormality Prompt Learning for Zero-Shot Anomaly Detection. - Jiawen Zhu 001; Yew-Soon Ong; Chunhua Shen; Guansong Pang (ICCV, 2025)

Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection. - Ying Fu Lim; Jiawen Zhu 001; Guansong Pang (PAKDD (7), 2025)

Securing Foundation Models: Failure Cases, Challenges, and the Future. - Mengjia Niu; Jiawen Zhu 001; Hezhe Qiao; Hamed Haddadi 001; Guansong Pang (IEEE Intell. Syst., 2025)

Unleashing Vision-Language Semantics for Deepfake Video Detection. - Jiawen Zhu 001; Yunqi Miao; Xueyi Zhang; Jiankang Deng; Guansong Pang (CoRR, 2026)

InCTRLv2: Generalist Residual Models for Few-Shot Anomaly Detection and Segmentation. - Jiawen Zhu 001; Mengjia Niu; Guansong Pang (CoRR, 2026)

AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection. - Yi Zhang; Jiawen Zhu 001; Lele Fu; Guansong Pang (CoRR, 2026)