Yuanhong Chen

According to our database, Yuanhong Chen authored at least 45 papers between 2021 and 2026.

Collaborative distances:

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

2026

People-Centred Medical Image Analysis.

Zheng Zhang, Milad Masroor, Cuong Nguyen, Tahir Hassan, Yuanhong Chen, David Rosewarne, Kevin Wells, Thanh-Toan Do, Gustavo Carneiro

CoRR, April, 2026

2025

Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition.

Yuanhong Chen, Federico Pichi, Zhen Gao, Gianluigi Rozza

CoRR, November, 2025

Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation.

Chong Wang, Fengbei Liu, Yuanhong Chen, Chun Fung Kwok, Michael Elliott, Carlos A. Peña-Solórzano, Davis James McCarthy, Helen Frazer, Gustavo Carneiro

IEEE J. Biomed. Health Informatics, August, 2025

Mixture of Gaussian-Distributed Prototypes With Generative Modelling for Interpretable and Trustworthy Image Recognition.

Chong Wang, Yuanhong Chen, Fengbei Liu, Yuyuan Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

Cross- and Intra-Image Prototypical Learning for Multi-Label Disease Diagnosis and Interpretation.

Chong Wang, Fengbei Liu, Yuanhong Chen, Helen Frazer, Gustavo Carneiro

IEEE Trans. Medical Imaging, June, 2025

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting.

Yuyuan Liu, Yuanhong Chen, Chong Wang, Junlin Han, Junde Wu, Can Peng, Jingkun Chen, Yu Tian, Gustavo Carneiro

CoRR, June, 2025

Translation Consistent Semi-Supervised Segmentation for 3D Medical Images.

Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro

IEEE Trans. Medical Imaging, February, 2025

Tensor decomposition-based neural operator with dynamic mode decomposition for parameterized time-dependent problems.

Yuanhong Chen, Yifan Lin, Xiang Sun, Chunxin Yuan, Zhen Gao

J. Comput. Phys., 2025

A coordinate transformation-based physics-informed neural networks for hyperbolic conservation laws.

Yuanhong Chen, Zhen Gao, Jan S. Hesthaven, Yifan Lin, Xiang Sun

J. Comput. Phys., 2025

CCStereo: Audio-Visual Contextual and Contrastive Learning for Binaural Audio Generation.

Yuanhong Chen, Kazuki Shimada, Christian Simon, Yukara Ikemiya, Takashi Shibuya, Yuki Mitsufuji

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning.

Chong Wang, Yuanhong Chen, Fengbei Liu, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Helen Frazer, Davis James McCarthy, Gustavo Carneiro

IEEE Trans. Medical Imaging, January, 2024

BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations.

Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro

Medical Image Anal., 2024

Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities.

Hu Wang, Congbo Ma, Yuyuan Liu, Yuanhong Chen, Yu Tian, Jodie Avery, Louise Hull, Gustavo Carneiro

CoRR, 2024

ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation.

Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro

Proceedings of the Computer Vision - ECCV 2024, 2024

CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation.

Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro

Proceedings of the Computer Vision - ECCV 2024, 2024

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation.

Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro

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

2023

Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images.

Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

Medical Image Anal., December, 2023

A Dynamic Mode Decomposition Based Reduced-Order Model For Parameterized Time-Dependent Partial Differential Equations.

Yifan Lin, Zhen Gao, Yuanhong Chen, Xiang Sun

J. Sci. Comput., June, 2023

Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification.

Chong Wang, Yuanhong Chen, Fengbei Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro

CoRR, 2023

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality.

Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

CoRR, 2023

Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior.

Fengbei Liu, Yuanhong Chen, Chong Wang, Yuyuan Liu, Gustavo Carneiro

CoRR, 2023

A Closer Look at Audio-Visual Semantic Segmentation.

Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro

CoRR, 2023

Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning.

Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tian, Gustavo Carneiro

CoRR, 2023

Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder.

Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Learning Support and Trivial Prototypes for Interpretable Image Classification.

Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification.

Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling.

Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.

Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro

CoRR, 2022

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder.

Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

CoRR, 2022

Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification.

Yuanhong Chen, Fengbei Liu, Yu Tian, Yuyuan Liu, Gustavo Carneiro

CoRR, 2022

Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models.

Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.

Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification.

Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.

Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction.

Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

Proceedings of the Computer Vision - ECCV 2022, 2022

Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes.

Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro

Proceedings of the Computer Vision - ECCV 2022, 2022

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification.

Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation.

Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep One-Class Classification via Interpolated Gaussian Descriptor.

Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification.

Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro

CoRR, 2021

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.

Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

CoRR, 2021

Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors.

Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro

CoRR, 2021

Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features.

Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

CoRR, 2021

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images.

Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning.

Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021