Chaoqin Huang - RankMe

26 papers A* 4A 1B 1Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Demographic-Aware Self-Supervised Anomaly Detection Pretraining for Equitable Rare Cardiac Diagnosis. CoRR Chaoqin Huang, Zi Zeng, Aofan Jiang, Yuchen Xu, Qing Cao, Kang Chen, Chenfei Chi, Yanfeng Wang, Ya Zhang
2025	J	`jnl`	Few-Shot Anomaly Detection via Category-Agnostic Registration Learning. IEEE Trans. Neural Networks Learn. Syst. Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Xinchao Wang, Yanfeng Wang
2024	A*	`conf`	Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CVPR Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang
2024	J	`jnl`	Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CoRR Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang
2024	J	`jnl`	Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning. CoRR Aofan Jiang, Chaoqin Huang, Qing Cao, Yuchen Xu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang
2024	J	`jnl`	Few-Shot Anomaly Detection via Category-Agnostic Registration Learning. CoRR Chaoqin Huang, Haoyan Guan, Aofan Jiang, Yanfeng Wang, Michael W. Spratling, Xinchao Wang, Ya Zhang
2024	A*	`conf`	Q-value Regularized Transformer for Offline Reinforcement Learning. ICML Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
2024	J	`jnl`	Q-value Regularized Transformer for Offline Reinforcement Learning. CoRR Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
2024	J	`jnl`	Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG Diagnosis. CoRR Aofan Jiang, Chaoqin Huang, Qing Cao, Yuchen Xu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang
2023	J	`jnl`	Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection. CoRR Chaoqin Huang, Aofan Jiang, Ya Zhang, Yanfeng Wang
2023	—	`conf`	Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. MICCAI (1) Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang
2023	J	`jnl`	Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. CoRR Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang
2023	J	`jnl`	Self-Supervised Masking for Unsupervised Anomaly Detection and Localization. IEEE Trans. Multim. Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, Ya Zhang
2023	J	`jnl`	Self-Supervised Tumor Segmentation With Sim2Real Adaptation. IEEE J. Biomed. Health Informatics Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, Yanfeng Wang
2022	J	`jnl`	Attribute Restoration Framework for Anomaly Detection. IEEE Trans. Multim. Fei Ye, Chaoqin Huang, Jinkun Cao, Maosen Li, Ya Zhang, Cewu Lu
2022	—	`conf`	Registration Based Few-Shot Anomaly Detection. ECCV (24) Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yanfeng Wang
2022	J	`jnl`	Registration based Few-Shot Anomaly Detection. CoRR Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael W. Spratling, Yanfeng Wang
2022	J	`jnl`	Self-Supervised Masking for Unsupervised Anomaly Detection and Localization. CoRR Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, Ya Zhang
2022	—	`conf`	Semi-Supervised Domain Generalization for Medical Image Analysis. ISBI Ruipeng Zhang, Qinwei Xu, Chaoqin Huang, Ya Zhang, Yanfeng Wang
2021	B	`conf`	Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. ICIP Fei Ye, Huangjie Zheng, Chaoqin Huang, Ya Zhang
2021	A	`conf`	ESAD: End-to-end Semi-supervised Anomaly Detection. BMVC Chaoqin Huang, Fei Ye, Peisen Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
2021	J	`jnl`	Self-supervised Tumor Segmentation through Layer Decomposition. CoRR Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Yanfeng Wang
2020	J	`jnl`	ESAD: End-to-end Deep Semi-supervised Anomaly Detection. CoRR Chaoqin Huang, Fei Ye, Ya Zhang, Yanfeng Wang, Qi Tian
2019	A*	`conf`	DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios. CVPR Guorun Yang, Xiao Song, Chaoqin Huang, Zhidong Deng, Jianping Shi, Bolei Zhou
2018	A*	`conf`	Recurrent Residual Module for Fast Inference in Videos. CVPR Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu
2018	J	`jnl`	Recurrent Residual Module for Fast Inference in Videos. CoRR Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu