Yunkang Cao

According to our database, Yunkang Cao authored at least 67 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

VTFusion: A Vision-Text Multimodal Fusion Network for Few-Shot Anomaly Detection.

Yuxin Jiang, Yunkang Cao, Yuqi Cheng, Yiheng Zhang, Weiming Shen

IEEE Trans. Cybern., June, 2026

SAF: A Structure-Aware Framework for Radial Ice Thickness Detection on Overhead Transmission Lines.

Hui Zhang, Youyuan Tang, Rui Du, Yihong Cao, Kaining Zhang, Yunkang Cao, Tongzhi Niu, Jianxu Mao, Yaonan Wang

IEEE Trans. Ind. Informatics, May, 2026

An Integrated Sensing-Computing Processor for Spectral-Based Chinese Herbal Medicine Classification With Algorithm-FPGA Co-Design.

Hui Zhang, Hai Wang, Bingrui Zhao, Tongzhi Niu, Yunkang Cao, Yaonan Wang

IEEE Trans. Ind. Electron., May, 2026

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection.

Jiaxuan Liu, Yunkang Cao, Yufeng Chen, Chunyang Li, Yuhuan Du, Hui Zhang

CoRR, May, 2026

ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning.

Yuan Zhao, Youwei Pang, Jiaming Zuo, Wei Ji, Kailai Zhou, Bin Fan, Yunkang Cao, Lihe Zhang, Xiaofeng Liu, Huchuan Lu, Weisi Lin, Dacheng Tao, Xiaoqi Zhao

CoRR, May, 2026

FPF: A Focused Perception Framework for Small Defect Identification in Complex Power Scenarios.

Hui Zhang, Hang Liu, Baheti Biekezat, Rui Du, Yunkang Cao, Kaining Zhang, Tongzhi Niu, Yaonan Wang

IEEE Trans. Ind. Informatics, April, 2026

Synthesis4AD: Synthetic Anomalies are All You Need for 3D Anomaly Detection.

Yihan Sun, Yuqi Cheng, Junjie Zu, Yuxiang Tan, Guoyang Xie, Yucheng Wang, Yunkang Cao, Weiming Shen

CoRR, April, 2026

Toward Zero-Shot Point Cloud Anomaly Detection: A Multiview Projection Framework.

Yuqi Cheng, Yunkang Cao, Guoyang Xie, Zhichao Lu, Weiming Shen

IEEE Trans. Syst. Man Cybern. Syst., March, 2026

M3-AD: Reflection-aware Multi-modal, Multi-category, and Multi-dimensional Benchmark and Framework for Industrial Anomaly Detection.

Chao Huang, Yanhui Li, Yunkang Cao, Wei Wang, Hongxi Huang, Jie Wen, Wenqi Ren, Xiaochun Cao

CoRR, March, 2026

URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection.

Wei Luo, Peng Xing, Yunkang Cao, Haiming Yao, Weiming Shen, Zechao Li

IEEE Trans. Circuits Syst. Video Technol., February, 2026

Reason-IAD: Knowledge-Guided Dynamic Latent Reasoning for Explainable Industrial Anomaly Detection.

Peng Chen, Chao Huang, Yunkang Cao, Chengliang Liu, Wenqiang Wang, Mingbo Yang, Li Shen, Wenqi Ren, Xiaochun Cao

CoRR, February, 2026

Rethinking Genomic Modeling Through Optical Character Recognition.

Hongxin Xiang, Pengsen Ma, Yunkang Cao, Di Yu, Haowen Chen, Xinyu Yang, Xiangxiang Zeng

CoRR, February, 2026

Cross-source medical anomaly detection via prompt-guided diffusion representations.

Yunkang Cao, Haiming Yao, Yu Cai, Yuxin Zhang, Hao Chen, Hui Zhang, Weiming Shen

Pattern Recognit., 2026

Visual anomaly detection under complex view-illumination interplay: A large-scale benchmark.

Yunkang Cao, Yuqi Cheng, Yuxin Zhang, Xiaohao Xu, Yiheng Zhang, Yihan Sun, Yuxiang Tan, Xiaonan Huang, Chao Huang, Weiming Shen

Pattern Recognit., 2026

Bidirectional adaptive transformers for multimodal anomaly detection.

Yuxin Jiang, Yunkang Cao, Weiming Shen

Expert Syst. Appl., 2026

IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection.

Yanhui Li, Yunkang Cao, Chengliang Liu, Yuan Xiong, Xinghui Dong, Chao Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation.

Yuxin Jiang, Wei Luo, Hui Zhang, Qiyu Chen, Haiming Yao, Weiming Shen, Yunkang Cao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects.

Yuqi Cheng, Yihan Sun, Hui Zhang, Weiming Shen, Yunkang Cao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AnyAD: Unified Any-Modality Anomaly Detection in Incomplete Multi-Sequence MRI.

Changwei Wu, Yifei Chen, Yuxin Du, Mingxuan Liu, Jinying Zong, Beining Wu, Jie Dong, Feiwei Qin, Yunkang Cao, Qiyuan Tian

CoRR, December, 2025

ADNet: A Large-Scale and Extensible Multi-Domain Benchmark for Anomaly Detection Across 380 Real-World Categories.

Hai Ling, Jia Guo, Zhulin Tao, Yunkang Cao, Donglin Di, Hongyan Xu, Xiu Su, Yang Song, Lei Fan

CoRR, November, 2025

DeltaDeno: Zero-Shot Anomaly Generation via Delta-Denoising Attribution.

Chaoran Xu, Chengkan Lv, Qiyu Chen, Yunkang Cao, Feng Zhang, Zhengtao Zhang

CoRR, November, 2025

Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection.

Haiming Yao, Wei Luo, Yunkang Cao, Yiheng Zhang, Wenyong Yu, Weiming Shen

IEEE Trans. Syst. Man Cybern. Syst., October, 2025

Levarging Learning Bias for Noisy Anomaly Detection.

Yuxin Zhang, Yunkang Cao, Yuqi Cheng, Yihan Sun, Weiming Shen

CoRR, August, 2025

CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection.

Qiyu Chen, Zhen Qu, Wei Luo, Haiming Yao, Yunkang Cao, Yuxin Jiang, Yinan Duan, Huiyuan Luo, Chengkan Lv, Zhengtao Zhang

CoRR, August, 2025

Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection.

Yuxin Jiang, Yunkang Cao, Weiming Shen

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Multi-View Reconstruction with Global Context for 3D Anomaly Detection.

Yihan Sun, Yuqi Cheng, Yunkang Cao, Yuxin Zhang, Weiming Shen

CoRR, July, 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

CoRR, July, 2025

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning.

Wei Luo, Haiming Yao, Yunkang Cao, Qiyu Chen, Ang Gao, Weiming Shen, Wenyong Yu

CoRR, June, 2025

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark.

Yunkang Cao, Yuqi Cheng, Xiaohao Xu, Yiheng Zhang, Yihan Sun, Yuxiang Tan, Yuxin Zhang, Xiaonan Huang, Weiming Shen

CoRR, May, 2025

VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling.

Yunkang Cao, Haiming Yao, Wei Luo, Weiming Shen

IEEE Trans. Ind. Informatics, April, 2025

Personalizing Vision-Language Models With Hybrid Prompts for Zero-Shot Anomaly Detection.

Yunkang Cao, Xiaohao Xu, Yuqi Cheng, Chen Sun, Zongwei Du, Liang Gao, Weiming Shen

IEEE Trans. Cybern., April, 2025

LogiCode: An LLM-Driven Framework for Logical Anomaly Detection.

Yiheng Zhang, Yunkang Cao, Xiaohao Xu, Weiming Shen

IEEE Trans Autom. Sci. Eng., 2025

Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection.

Yuqi Cheng, Yunkang Cao, Dongfang Wang, Weiming Shen, Wenlong Li

IEEE Trans Autom. Sci. Eng., 2025

Diffusion-based vision-language model for zero-shot anomaly detection in medical images.

Yanhui Chen, Hongkang Tao, Zan Yang, Yunkang Cao, Chen Jiang, Longhua Hu, Pengwen Xiong, Haobo Qiu

Eng. Appl. Artif. Intell., 2025

Leveraging Learning Bias for Noisy Anomaly Detection.

Yuxin Zhang, Yunkang Cao, Yuqi Cheng, Yihan Sun, Weiming Shen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Multi-View Reconstruction with Global Context for 3D Anomaly Detection^*.

Yihan Sun, Yuqi Cheng, Yunkang Cao, Yuxin Zhang, Weiming Shen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection.

Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan, Bob Zhang, Jie Wen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Unseen Visual Anomaly Generation.

Han Sun, Yunkang Cao, Hao Dong, Olga Fink

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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, Wenyong Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Customizing Visual-Language Foundation Models for Multi-Modal Anomaly Detection and Reasoning.

Xiaohao Xu, Yunkang Cao, Huaxin Zhang, Nong Sang, Xiaonan Huang

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024

Prior Normality Prompt Transformer for Multiclass Industrial Image Anomaly Detection.

Haiming Yao, Yunkang Cao, Wei Luo, Weihang Zhang, Wenyong Yu, Weiming Shen

IEEE Trans. Ind. Informatics, October, 2024

BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization.

Yunkang Cao, Xiaohao Xu, Chen Sun, Liang Gao, Weiming Shen

IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Deep Feature Contrasting for Industrial Image Anomaly Segmentation.

Qian Wan, Yunkang Cao, Liang Gao, Xinyu Li, Yiping Gao

IEEE Trans. Instrum. Meas., 2024

Complementary pseudo multimodal feature for point cloud anomaly detection.

Yunkang Cao, Xiaohao Xu, Weiming Shen

Pattern Recognit., 2024

Generative Denoise Distillation: Simple stochastic noises induce efficient knowledge transfer for dense prediction.

Zhaoge Liu, Xiaohao Xu, Yunkang Cao, Weiming Shen

Knowl. Based Syst., 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

Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework.

Yuqi Cheng, Yunkang Cao, Guoyang Xie, Zhichao Lu, Weiming Shen

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

CoRR, 2024

CUT: A Controllable, Universal, and Training-Free Visual Anomaly Generation Framework.

Han Sun, Yunkang Cao, Olga Fink

CoRR, 2024

Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning.

Xiaohao Xu, Yunkang Cao, Yongqi Chen, Weiming Shen, Xiaonan Huang

CoRR, 2024

Dual-path Frequency Discriminators for Few-shot Anomaly Detection.

Yuhu Bai, Jiangning Zhang, Yuhang Dong, Guanzhong Tian, Liang Liu, Yunkang Cao, Yabiao Wang, Chengjie Wang

CoRR, 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

CoRR, 2024

AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection.

Yunkang Cao, Jiangning Zhang, Luca Frittoli, Yuqi Cheng, Weiming Shen, Giacomo Boracchi

Proceedings of the Computer Vision - ECCV 2024, 2024

Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection.

Yiheng Zhang, Yunkang Cao, Tianhang Zhang, Weiming Shen

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection.

Yuqi Cheng, Yunkang Cao, Rui Chen, Weiming Shen

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization.

Yunkang Cao, Xiaohao Xu, Zhaoge Liu, Weiming Shen

IEEE Trans. Ind. Informatics, November, 2023

A masked reverse knowledge distillation method incorporating global and local information for image anomaly detection.

Yuxin Jiang, Yunkang Cao, Weiming Shen

Knowl. Based Syst., November, 2023

Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.

Yunkang Cao, Xiaohao Xu, Chen Sun, Xiaonan Huang, Weiming Shen

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, Yuqi Cheng, Liang Gao, Weiming Shen

CoRR, 2023

Segment Any Anomaly without Training via Hybrid Prompt Regularization.

Yunkang Cao, Xiaohao Xu, Chen Sun, Yuqi Cheng, Zongwei Du, Liang Gao, Weiming Shen

CoRR, 2023

High-Resolution Image Anomaly Detection via Spatiotemporal Consistency Incorporated Knowledge Distillation.

Yunkang Cao, Yiheng Zhang, Weiming Shen

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

GON: End-to-end optimization framework for constraint graph optimization problems.

Chuan Liu, Jingwei Wang, Yunkang Cao, Min Liu, Weiming Shen

Knowl. Based Syst., 2022

Informative knowledge distillation for image anomaly segmentation.

Yunkang Cao, Qian Wan, Weiming Shen, Liang Gao

Knowl. Based Syst., 2022

An Outlier-Aware Method for UWB Indoor Positioning in NLoS Situations.

Chuan Liu, Yunkang Cao, Chen Sun, Weiming Shen, Xinyu Li, Liang Gao

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Semi-supervised Knowledge Distillation for Tiny Defect Detection.

Yunkang Cao, Yanan Song, Xiaohao Xu, Shuya Li, Yuhao Yu, Yifeng Zhang, Weiming Shen

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Position Encoding Enhanced Feature Mapping for Image Anomaly Detection.

Qian Wan, Yunkang Cao, Liang Gao, Weiming Shen, Xinyu Li

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022