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2020 – today
- 2024
[c9]Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang:
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CVPR 2024: 11375-11385- [c8]Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
Q-value Regularized Transformer for Offline Reinforcement Learning. ICML 2024 - [i12]Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang:
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CoRR abs/2403.12570 (2024) - [i11]Aofan Jiang, Chaoqin Huang, Qing Cao, Yuchen Xu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang:
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning. CoRR abs/2404.04935 (2024) - [i10]Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
Q-value Regularized Transformer for Offline Reinforcement Learning. CoRR abs/2405.17098 (2024) - [i9]Chaoqin Huang, Haoyan Guan, Aofan Jiang, Yanfeng Wang, Michael W. Spratling, Xinchao Wang, Ya Zhang:
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning. CoRR abs/2406.08810 (2024) - [i8]Aofan Jiang, Chaoqin Huang, Qing Cao, Yuchen Xu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang:
Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG Diagnosis. CoRR abs/2408.17154 (2024) - 2023
- [j3]Xiaoman Zhang
, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, Yanfeng Wang:
Self-Supervised Tumor Segmentation With Sim2Real Adaptation. IEEE J. Biomed. Health Informatics 27(9): 4373-4384 (2023) - [j2]Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, Ya Zhang:
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization. IEEE Trans. Multim. 25: 4426-4438 (2023) - [c7]Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang:
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. MICCAI (1) 2023: 87-97 - [i7]Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang:
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. CoRR abs/2308.01639 (2023) - [i6]Chaoqin Huang, Aofan Jiang, Ya Zhang, Yanfeng Wang:
Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection. CoRR abs/2308.04789 (2023) - 2022
- [j1]Fei Ye, Chaoqin Huang, Jinkun Cao, Maosen Li, Ya Zhang, Cewu Lu:
Attribute Restoration Framework for Anomaly Detection. IEEE Trans. Multim. 24: 116-127 (2022) - [c6]Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yan-Feng Wang:
Registration Based Few-Shot Anomaly Detection. ECCV (24) 2022: 303-319 - [c5]Ruipeng Zhang, Qinwei Xu, Chaoqin Huang, Ya Zhang, Yanfeng Wang:
Semi-Supervised Domain Generalization for Medical Image Analysis. ISBI 2022: 1-5 - [i5]Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, Ya Zhang:
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization. CoRR abs/2205.06568 (2022) - [i4]Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yan-Feng Wang:
Registration based Few-Shot Anomaly Detection. CoRR abs/2207.07361 (2022) - 2021
- [c4]Chaoqin Huang, Fei Ye, Peisen Zhao, Ya Zhang, Yan-Feng Wang, Qi Tian:
ESAD: End-to-end Semi-supervised Anomaly Detection. BMVC 2021: 140 - [c3]Fei Ye, Huangjie Zheng, Chaoqin Huang, Ya Zhang:
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. ICIP 2021: 1609-1613 - [i3]Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Yanfeng Wang:
Self-supervised Tumor Segmentation through Layer Decomposition. CoRR abs/2109.03230 (2021) - 2020
- [i2]Chaoqin Huang, Fei Ye, Ya Zhang, Yan-Feng Wang, Qi Tian:
ESAD: End-to-end Deep Semi-supervised Anomaly Detection. CoRR abs/2012.04905 (2020)
2010 – 2019
- 2019
- [c2]Guorun Yang, Xiao Song, Chaoqin Huang, Zhidong Deng, Jianping Shi, Bolei Zhou:
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios. CVPR 2019: 899-908 - 2018
- [c1]Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu:
Recurrent Residual Module for Fast Inference in Videos. CVPR 2018: 1536-1545 - [i1]Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu:
Recurrent Residual Module for Fast Inference in Videos. CoRR abs/1802.09723 (2018)
Coauthor Index
aka: Yan-Feng Wang
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