Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. - Yu Tian 001; Guansong Pang; Yuanhong Chen; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (ICCV, 2021)

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. - Yu Tian 001; Guansong Pang; Fengbei Liu; Yuanhong Chen; Seon-Ho Shin; Johan W. Verjans; Rajvinder Singh; Gustavo Carneiro 001 (MICCAI (5), 2021)

Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. - Yu Tian 001; Guansong Pang; Yuanhong Chen; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (CoRR, 2021)

Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. - Yuanhong Chen; Yu Tian 001; Guansong Pang; Gustavo Carneiro 001 (CoRR, 2021)

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. - Yu Tian 001; Fengbei Liu; Guansong Pang; Yuanhong Chen; Yuyuan Liu; Johan W. Verjans; Rajvinder Singh; Gustavo Carneiro 001 (CoRR, 2021)

ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. - Fengbei Liu; Yu Tian 001; Yuanhong Chen; Yuyuan Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (CoRR, 2021)

Deep One-Class Classification via Interpolated Gaussian Descriptor. - Yuanhong Chen; Yu Tian 001; Guansong Pang; Gustavo Carneiro 001 (AAAI, 2022)

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. - Yuyuan Liu; Yu Tian 001; Yuanhong Chen; Fengbei Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (CVPR, 2022)

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. - Fengbei Liu; Yu Tian 001; Yuanhong Chen; Yuyuan Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (CVPR, 2022)

Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. - Yu Tian 001; Yuyuan Liu; Guansong Pang; Fengbei Liu; Yuanhong Chen; Gustavo Carneiro 001 (ECCV (39), 2022)

Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. - Hu Wang 005; Jianpeng Zhang; Yuanhong Chen; Congbo Ma; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (ECCV (37), 2022)

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. - Yuanhong Chen; Hu Wang 005; Chong Wang 012; Yu Tian 001; Fengbei Liu; Yuyuan Liu; Michael Elliott; Davis J. McCarthy; Helen Frazer; Gustavo Carneiro 001 (MICCAI (3), 2022)

NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. - Fengbei Liu; Yuanhong Chen; Yu Tian 001; Yuyuan Liu; Chong Wang 012; Vasileios Belagiannis; Gustavo Carneiro 001 (MICCAI (3), 2022)

Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. - Yu Tian 001; Guansong Pang; Fengbei Liu; Yuyuan Liu; Chong Wang 012; Yuanhong Chen; Johan Verjans; Gustavo Carneiro 001 (MICCAI (3), 2022)

Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. - Chong Wang 012; Yuanhong Chen; Yuyuan Liu; Yu Tian 001; Fengbei Liu; Davis J. McCarthy; Michael Elliott; Helen Frazer; Gustavo Carneiro 001 (MICCAI (3), 2022)

Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification. - Yuanhong Chen; Fengbei Liu; Yu Tian 001; Yuyuan Liu; Gustavo Carneiro 001 (CoRR, 2022)

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. - Yu Tian 001; Guansong Pang; Yuyuan Liu; Chong Wang 012; Yuanhong Chen; Fengbei Liu; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (CoRR, 2022)

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. - Yuanhong Chen; Hu Wang 005; Chong Wang 012; Yu Tian 001; Fengbei Liu; Michael Elliott; Davis J. McCarthy; Helen Frazer; Gustavo Carneiro 001 (CoRR, 2022)

Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. - Hu Wang 005; Yuanhong Chen; Congbo Ma; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (CVPR, 2023)

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. - Yuanhong Chen; Fengbei Liu; Hu Wang 005; Chong Wang 012; Yuyuan Liu; Yu Tian 001; Gustavo Carneiro 001 (ICCV, 2023)

Learning Support and Trivial Prototypes for Interpretable Image Classification. - Chong Wang 012; Yuyuan Liu; Yuanhong Chen; Fengbei Liu; Yu Tian 001; Davis J. McCarthy; Helen Frazer; Gustavo Carneiro 001 (ICCV, 2023)

Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. - Yu Tian 001; Guansong Pang; Yuyuan Liu; Chong Wang 012; Yuanhong Chen; Fengbei Liu; Rajvinder Singh; Johan W. Verjans; Mengyu Wang 001; Gustavo Carneiro 001 (MLMI@MICCAI (2), 2023)

Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning. - Fengbei Liu; Yuanhong Chen; Chong Wang 012; Yu Tian 001; Gustavo Carneiro 001 (CoRR, 2023)

A Closer Look at Audio-Visual Semantic Segmentation. - Yuanhong Chen; Yuyuan Liu; Hu Wang 005; Fengbei Liu; Chong Wang 012; Gustavo Carneiro 001 (CoRR, 2023)

Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior. - Fengbei Liu; Yuanhong Chen; Chong Wang 012; Yuyuan Liu; Gustavo Carneiro 001 (CoRR, 2023)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. - Hu Wang 005; Yuanhong Chen; Congbo Ma; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (CoRR, 2023)

Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification. - Chong Wang 012; Yuanhong Chen; Fengbei Liu; Davis James McCarthy; Helen Frazer; Gustavo Carneiro 001 (CoRR, 2023)

A Dynamic Mode Decomposition Based Reduced-Order Model For Parameterized Time-Dependent Partial Differential Equations. - Yifan Lin; Zhen Gao 002; Yuanhong Chen; Xiang Sun (J. Sci. Comput., 2023)

Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. - Yu Tian 001; Fengbei Liu; Guansong Pang; Yuanhong Chen; Yuyuan Liu; Johan W. Verjans; Rajvinder Singh; Gustavo Carneiro 001 (Medical Image Anal., 2023)

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. - Yuanhong Chen; Yuyuan Liu; Hu Wang 005; Fengbei Liu; Chong Wang 012; Helen Frazer; Gustavo Carneiro 001 (CVPR, 2024)

CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation. - Yuanhong Chen; Chong Wang 012; Yuyuan Liu; Hu Wang 005; Gustavo Carneiro 001 (ECCV (10), 2024)

ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. - Yuyuan Liu; Yuanhong Chen; Hu Wang 005; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (ECCV (1), 2024)

Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. - Hu Wang 005; Congbo Ma; Yuyuan Liu; Yuanhong Chen; Yu Tian 001; Jodie Avery; Louise Hull; Gustavo Carneiro 001 (CoRR, 2024)

BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations. - Yuanhong Chen; Yuyuan Liu; Chong Wang 012; Michael Elliott; Chun Fung Kwok; Carlos A. Peña-Solórzano; Yu Tian 001; Fengbei Liu; Helen Frazer; Davis J. McCarthy; Gustavo Carneiro 001 (Medical Image Anal., 2024)

An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning. - Chong Wang 012; Yuanhong Chen; Fengbei Liu; Michael Elliott; Chun Fung Kwok; Carlos A. Peña-Solórzano; Helen Frazer; Davis James McCarthy; Gustavo Carneiro 001 (IEEE Trans. Medical Imaging, 2024)

A coordinate transformation-based physics-informed neural networks for hyperbolic conservation laws. - Yuanhong Chen; Zhen Gao 002; Jan S. Hesthaven; Yifan Lin; Xiang Sun (J. Comput. Phys., 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 002 (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 001; Yuki Mitsufuji (CoRR, 2025)

Translation Consistent Semi-Supervised Segmentation for 3D Medical Images. - Yuyuan Liu; Yu Tian 001; Chong Wang 012; Yuanhong Chen; Fengbei Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (IEEE Trans. Medical Imaging, 2025)

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting. - Yuyuan Liu; Yuanhong Chen; Chong Wang 012; Junlin Han; Junde Wu; Can Peng; Jingkun Chen; Yu Tian 001; Gustavo Carneiro 001 (CoRR, 2025)

Cross- and Intra-Image Prototypical Learning for Multi-Label Disease Diagnosis and Interpretation. - Chong Wang 012; Fengbei Liu; Yuanhong Chen; Helen Frazer; Gustavo Carneiro 001 (IEEE Trans. Medical Imaging, 2025)

Mixture of Gaussian-Distributed Prototypes With Generative Modelling for Interpretable and Trustworthy Image Recognition. - Chong Wang 012; Yuanhong Chen; Fengbei Liu; Yuyuan Liu; Davis James McCarthy; Helen Frazer; Gustavo Carneiro 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation. - Chong Wang 012; Fengbei Liu; Yuanhong Chen; Chun Fung Kwok; Michael Elliott; Carlos A. Peña-Solórzano; Davis James McCarthy; Helen Frazer; Gustavo Carneiro 001 (IEEE J. Biomed. Health Informatics, 2025)