Recurrent Residual Module for Fast Inference in Videos. - Bowen Pan; Wuwei Lin; Xiaolin Fang 002; Chaoqin Huang; Bolei Zhou; Cewu Lu (CVPR, 2018)

DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios. - Guorun Yang; Xiao Song; Chaoqin Huang; Zhidong Deng; Jianping Shi; Bolei Zhou (CVPR, 2019)

ESAD: End-to-end Deep Semi-supervised Anomaly Detection. - Chaoqin Huang; Fei Ye; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (CoRR, 2020)

ESAD: End-to-end Semi-supervised Anomaly Detection. - Chaoqin Huang; Fei Ye; Peisen Zhao; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001 (BMVC, 2021)

Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. - Fei Ye; Huangjie Zheng; Chaoqin Huang; Ya Zhang 002 (ICIP, 2021)

Self-supervised Tumor Segmentation through Layer Decomposition. - Xiaoman Zhang; Weidi Xie; Chaoqin Huang; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2021)

Registration Based Few-Shot Anomaly Detection. - Chaoqin Huang; Haoyan Guan; Aofan Jiang; Ya Zhang 002; Michael W. Spratling; Yanfeng Wang 001 (ECCV (24), 2022)

Semi-Supervised Domain Generalization for Medical Image Analysis. - Ruipeng Zhang; Qinwei Xu; Chaoqin Huang; Ya Zhang 002; Yanfeng Wang 001 (ISBI, 2022)

Attribute Restoration Framework for Anomaly Detection. - Fei Ye; Chaoqin Huang; Jinkun Cao; Maosen Li; Ya Zhang 002; Cewu Lu (IEEE Trans. Multim., 2022)

Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. - Aofan Jiang; Chaoqin Huang; Qing Cao; Shuang Wu; Zi Zeng; Kang Chen; Ya Zhang 002; Yanfeng Wang 001 (MICCAI (1), 2023)

Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection. - Chaoqin Huang; Aofan Jiang; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2023)

Self-Supervised Masking for Unsupervised Anomaly Detection and Localization. - Chaoqin Huang; Qinwei Xu; Yanfeng Wang 001; Yu Wang 027; Ya Zhang 002 (IEEE Trans. Multim., 2023)

Self-Supervised Tumor Segmentation With Sim2Real Adaptation. - Xiaoman Zhang; Weidi Xie; Chaoqin Huang; Ya Zhang 002; Xin Chen 033; Qi Tian 001; Yanfeng Wang 001 (IEEE J. Biomed. Health Informatics, 2023)

Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. - Chaoqin Huang; Aofan Jiang; Jinghao Feng; Ya Zhang 002; Xinchao Wang; Yanfeng Wang 001 (CVPR, 2024)

Q-value Regularized Transformer for Offline Reinforcement Learning. - Shengchao Hu; Ziqing Fan; Chaoqin Huang; Li Shen 008; Ya Zhang 002; Yanfeng Wang 001; Dacheng Tao (ICML, 2024)

Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning. - Aofan Jiang; Chaoqin Huang; Qing Cao; Yuchen Xu 008; Zi Zeng; Kang Chen; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2024)

Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG Diagnosis. - Aofan Jiang; Chaoqin Huang; Qing Cao; Yuchen Xu 008; Zi Zeng; Kang Chen; Ya Zhang 002; Yanfeng Wang 001 (CoRR, 2024)

Few-Shot Anomaly Detection via Category-Agnostic Registration Learning. - Chaoqin Huang; Haoyan Guan; Aofan Jiang; Ya Zhang 002; Michael W. Spratling; Xinchao Wang; Yanfeng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)