Position Encoding Enhanced Feature Mapping for Image Anomaly Detection. - Qian Wan; Yunkang Cao; Liang Gao 001; Weiming Shen 001; Xinyu Li 001 (CASE, 2022)

Semi-supervised Knowledge Distillation for Tiny Defect Detection. - Yunkang Cao; Yanan Song; Xiaohao Xu; Shuya Li; Yuhao Yu; Yifeng Zhang 007; Weiming Shen 001 (CSCWD, 2022)

An Outlier-Aware Method for UWB Indoor Positioning in NLoS Situations. - Chuan Liu 001; Yunkang Cao; Chen Sun 015; Weiming Shen 001; Xinyu Li 001; Liang Gao 001 (CSCWD, 2022)

Informative knowledge distillation for image anomaly segmentation. - Yunkang Cao; Qian Wan; Weiming Shen 001; Liang Gao 001 (Knowl. Based Syst., 2022)

GON: End-to-end optimization framework for constraint graph optimization problems. - Chuan Liu 001; Jingwei Wang 001; Yunkang Cao; Min Liu 002; Weiming Shen 001 (Knowl. Based Syst., 2022)

High-Resolution Image Anomaly Detection via Spatiotemporal Consistency Incorporated Knowledge Distillation. - Yunkang Cao; Yiheng Zhang; Weiming Shen 001 (CASE, 2023)

Segment Any Anomaly without Training via Hybrid Prompt Regularization. - Yunkang Cao; Xiaohao Xu; Chen Sun 015; Yuqi Cheng; Zongwei Du; Liang Gao 001; Weiming Shen 001 (CoRR, 2023)

Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection. - Yunkang Cao; Xiaohao Xu; Chen Sun 015; Yuqi Cheng; Liang Gao 001; Weiming Shen 001 (CoRR, 2023)

Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead. - Yunkang Cao; Xiaohao Xu; Chen Sun 015; Xiaonan Huang; Weiming Shen 001 (CoRR, 2023)

A masked reverse knowledge distillation method incorporating global and local information for image anomaly detection. - Yuxin Jiang; Yunkang Cao; Weiming Shen 001 (Knowl. Based Syst., 2023)

Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization. - Yunkang Cao; Xiaohao Xu; Zhaoge Liu; Weiming Shen 001 (IEEE Trans. Ind. Informatics, 2023)

RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection. - Yuqi Cheng; Yunkang Cao; Rui Chen; Weiming Shen 001 (CASE, 2024)

Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection. - Yiheng Zhang; Yunkang Cao; Tianhang Zhang; Weiming Shen 001 (CASE, 2024)

AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection. - Yunkang Cao; Jiangning Zhang; Luca Frittoli; Yuqi Cheng; Weiming Shen 001; Giacomo Boracchi (ECCV (35), 2024)

A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect. - Yunkang Cao; Xiaohao Xu; Jiangning Zhang; Yuqi Cheng; Xiaonan Huang; Guansong Pang; Weiming Shen 001 (CoRR, 2024)

Dual-path Frequency Discriminators for Few-shot Anomaly Detection. - Yuhu Bai; Jiangning Zhang; Yuhang Dong; Guanzhong Tian; Liang Liu 007; Yunkang Cao; Yabiao Wang; Chengjie Wang (CoRR, 2024)

Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning. - Xiaohao Xu; Yunkang Cao; Yongqi Chen; Weiming Shen 001; Xiaonan Huang (CoRR, 2024)

CUT: A Controllable, Universal, and Training-Free Visual Anomaly Generation Framework. - Han Sun; Yunkang Cao; Olga Fink (CoRR, 2024)

Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection. - Haiming Yao; Wei Luo; Yunkang Cao; Yiheng Zhang; Wenyong Yu; Weiming Shen 001 (CoRR, 2024)

Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection. - Haiming Yao; Yunkang Cao; Wei Luo; Weihang Zhang; Wenyong Yu; Weiming Shen 001 (CoRR, 2024)

Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework. - Yuqi Cheng; Yunkang Cao; Guoyang Xie; Zhichao Lu; Weiming Shen 001 (CoRR, 2024)

Dual-path Frequency Discriminators for few-shot anomaly detection. - Yuhu Bai; Jiangning Zhang; Zhaofeng Chen; Yuhang Dong; Yunkang Cao; Guanzhong Tian (Knowl. Based Syst., 2024)

Generative Denoise Distillation: Simple stochastic noises induce efficient knowledge transfer for dense prediction. - Zhaoge Liu; Xiaohao Xu; Yunkang Cao; Weiming Shen 001 (Knowl. Based Syst., 2024)

Complementary pseudo multimodal feature for point cloud anomaly detection. - Yunkang Cao; Xiaohao Xu; Weiming Shen 001 (Pattern Recognit., 2024)

Deep Feature Contrasting for Industrial Image Anomaly Segmentation. - Qian Wan; Yunkang Cao; Liang Gao 001; Xinyu Li 001; Yiping Gao (IEEE Trans. Instrum. Meas., 2024)

BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization. - Yunkang Cao; Xiaohao Xu; Chen Sun 015; Liang Gao 001; Weiming Shen 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Prior Normality Prompt Transformer for Multiclass Industrial Image Anomaly Detection. - Haiming Yao; Yunkang Cao; Wei Luo; Weihang Zhang; Wenyong Yu; Weiming Shen 001 (IEEE Trans. Ind. Informatics, 2024)

Customizing Visual-Language Foundation Models for Multi-Modal Anomaly Detection and Reasoning. - Xiaohao Xu; Yunkang Cao; Huaxin Zhang; Nong Sang; Xiaonan Huang (CSCWD, 2025)

Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection. - Wei Luo; Yunkang Cao; Haiming Yao; Xiaotian Zhang; Jianan Lou; Yuqi Cheng; Weiming Shen 001; Wenyong Yu (CVPR, 2025)

Unseen Visual Anomaly Generation. - Han Sun; Yunkang Cao; Hao Dong 011; Olga Fink (CVPR, 2025)

Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection. - Yuqi Cheng; Yunkang Cao; Dongfang Wang; Weiming Shen 001; Wenlong Li 001 (IEEE Trans Autom. Sci. Eng., 2025)

LogiCode: An LLM-Driven Framework for Logical Anomaly Detection. - Yiheng Zhang; Yunkang Cao; Xiaohao Xu; Weiming Shen 001 (IEEE Trans Autom. Sci. Eng., 2025)

Personalizing Vision-Language Models With Hybrid Prompts for Zero-Shot Anomaly Detection. - Yunkang Cao; Xiaohao Xu; Yuqi Cheng; Chen Sun 015; Zongwei Du; Liang Gao 001; Weiming Shen 001 (IEEE Trans. Cybern., 2025)

VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling. - Yunkang Cao; Haiming Yao; Wei Luo; Weiming Shen 001 (IEEE Trans. Ind. Informatics, 2025)

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark. - Yunkang Cao; Yuqi Cheng; Xiaohao Xu; Yiheng Zhang; Yihan Sun 007; Yuxiang Tan; Yuxin Zhang; Xiaonan Huang; Weiming Shen 001 (CoRR, 2025)

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning. - Wei Luo; Haiming Yao; Yunkang Cao; Qiyu Chen 002; Ang Gao; Weiming Shen 001; Wenyong Yu (CoRR, 2025)

Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects. - Yuqi Cheng; Yihan Sun 007; Hui Zhang; Weiming Shen 001; Yunkang Cao (CoRR, 2025)

Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection. - Yuhu Bai; Jiangning Zhang; Yunkang Cao; Guangyuan Lu; Qingdong He; Xiangtai Li; Guanzhong Tian (CoRR, 2025)

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects. - Yuqi Cheng; Yunkang Cao; Haiming Yao; Wei Luo; Cheng Jiang; Hui Zhang; Weiming Shen 001 (CoRR, 2025)

Multi-View Reconstruction with Global Context for 3D Anomaly Detection. - Yihan Sun 007; Yuqi Cheng; Yunkang Cao; Yuxin Zhang; Weiming Shen 001 (CoRR, 2025)

Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection. - Yuxin Jiang; Yunkang Cao; Weiming Shen 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection. - Qiyu Chen 002; Zhen Qu; Wei Luo; Haiming Yao; Yunkang Cao; Yuxin Jiang; Yinan Duan; Huiyuan Luo; Chengkan Lv; Zhengtao Zhang (CoRR, 2025)

Levarging Learning Bias for Noisy Anomaly Detection. - Yuxin Zhang; Yunkang Cao; Yuqi Cheng; Yihan Sun 007; Weiming Shen 001 (CoRR, 2025)

IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection. - Yanhui Li; Yunkang Cao; Chengliang Liu; Yuan Xiong; Xinghui Dong; Chao Huang (CoRR, 2025)