Chaoqin Huang

According to our database, Chaoqin Huang authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Demographic-Aware Self-Supervised Anomaly Detection Pretraining for Equitable Rare Cardiac Diagnosis.

Chaoqin Huang, Zi Zeng, Aofan Jiang, Yuchen Xu, Qing Cao, Kang Chen, Chenfei Chi, Yanfeng Wang, Ya Zhang

CoRR, March, 2026

2025

Few-Shot Anomaly Detection via Category-Agnostic Registration Learning.

Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Xinchao Wang, Yanfeng Wang

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

2024

Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG Diagnosis.

Aofan Jiang, Chaoqin Huang, Qing Cao, Yuchen Xu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang

CoRR, 2024

Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning.

Aofan Jiang, Chaoqin Huang, Qing Cao, Yuchen Xu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang

CoRR, 2024

Q-value Regularized Transformer for Offline Reinforcement Learning.

Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images.

Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Self-Supervised Tumor Segmentation With Sim2Real Adaptation.

Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, Yanfeng Wang

IEEE J. Biomed. Health Informatics, September, 2023

Self-Supervised Masking for Unsupervised Anomaly Detection and Localization.

Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, Ya Zhang

IEEE Trans. Multim., 2023

Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection.

Chaoqin Huang, Aofan Jiang, Ya Zhang, Yanfeng Wang

CoRR, 2023

Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection.

Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Attribute Restoration Framework for Anomaly Detection.

Fei Ye, Chaoqin Huang, Jinkun Cao, Maosen Li, Ya Zhang, Cewu Lu

IEEE Trans. Multim., 2022

Semi-Supervised Domain Generalization for Medical Image Analysis.

Ruipeng Zhang, Qinwei Xu, Chaoqin Huang, Ya Zhang, Yanfeng Wang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Registration Based Few-Shot Anomaly Detection.

Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yanfeng Wang

Proceedings of the Computer Vision, 2022

2021

Self-supervised Tumor Segmentation through Layer Decomposition.

Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Yanfeng Wang

CoRR, 2021

Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework.

Fei Ye, Huangjie Zheng, Chaoqin Huang, Ya Zhang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

ESAD: End-to-end Semi-supervised Anomaly Detection.

Chaoqin Huang, Fei Ye, Peisen Zhao, Ya Zhang, Yanfeng Wang, Qi Tian

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

ESAD: End-to-end Deep Semi-supervised Anomaly Detection.

Chaoqin Huang, Fei Ye, Ya Zhang, Yanfeng Wang, Qi Tian

CoRR, 2020

2019

DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios.

Guorun Yang, Xiao Song, Chaoqin Huang, Zhidong Deng, Jianping Shi, Bolei Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Recurrent Residual Module for Fast Inference in Videos.

Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018