AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review. - Hanqiu Deng; Xingyu Li (Frontiers Artif. Intell., 2021)

Anomaly Detection via Reverse Distillation from One-Class Embedding. - Hanqiu Deng; Xingyu Li (CVPR, 2022)

Self-supervised Anomaly Detection with Random-shape Pseudo-outliers. - Hanqiu Deng; Xingyu Li (EMBC, 2022)

Collaboration of Pre-trained Models Makes Better Few-shot Learner. - Renrui Zhang; Hanqiu Deng; Bohao Li; Wei Zhang 056; Hao Dong 003; Hongsheng Li 001; Peng Gao 007; Yu Qiao 001 (CoRR, 2022)

Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners. - Renrui Zhang; Xiangfei Hu; Bohao Li; Siyuan Huang 004; Hanqiu Deng; Yu Qiao 001; Peng Gao 007; Hongsheng Li 001 (CVPR, 2023)

Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis. - Zhaoxiang Zhang 003; Hanqiu Deng; Xingyu Li (SASHIMI@MICCAI, 2023)

Bi-directional Frame Interpolation for Unsupervised Video Anomaly Detection. - Hanqiu Deng; Zhaoxiang Zhang 003; Shihao Zou; Xingyu Li (WACV, 2023)

AnoVL: Adapting Vision-Language Models for Unified Zero-shot Anomaly Localization. - Hanqiu Deng; Zhaoxiang Zhang 003; Jinan Bao; Xingyu Li (CoRR, 2023)

BMAD: Benchmarks for Medical Anomaly Detection. - Jinan Bao; Hanshi Sun; Hanqiu Deng; Yinsheng He; Zhaoxiang Zhang 003; Xingyu Li (CVPR Workshops, 2024)

Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization. - Hanqiu Deng; Xingyu Li (CoRR, 2024)

FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination. - Yifei Lin; Hanqiu Deng; Xingyu Li (CoRR, 2024)

Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection. - Zhaoxiang Zhang 003; Hanqiu Deng; Jinan Bao; Xingyu Li (CoRR, 2024)

MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. - Xi Jiang 009; Jian Li 062; Hanqiu Deng; Yong Liu 032; Bin-Bin Gao; Yifeng Zhou; Jialin Li; Chengjie Wang; Feng Zheng (CoRR, 2024)

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. - Xi Jiang 009; Jian Li 062; Hanqiu Deng; Yong Liu 032; Bin-Bin Gao; Yifeng Zhou; Jialin Li; Chengjie Wang; Feng Zheng (ICLR, 2025)