A Big Data Analysis and Application Platform for Civil Aircraft Health Management. - Jin Chen; Zhi Lyu; Yuyuan Liu; Jiayang Huang; Guigang Zhang; Jian Wang 029; Xi Chen 032 (BigMM, 2016)

Photoshopping Colonoscopy Video Frames. - Yuyuan Liu; Yu Tian 001; Gabriel Maicas; Leonardo Zorron Cheng Tao Pu; Rajvinder Singh; Johan W. Verjans; Gustavo Carneiro 001 (ISBI, 2020)

Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. - Yu Tian 001; Leonardo Zorron Cheng Tao Pu; Yuyuan Liu; Gabriel Maicas; Johan W. Verjans; Alastair D. Burt; Seon-Ho Shin; Rajvinder Singh; 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)

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)

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)

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)

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. - Yuyuan Liu; Choubo Ding; Yu Tian 001; Guansong Pang; Vasileios Belagiannis; Ian D. Reid 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)

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)

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)

Evolution of trust in the N-player trust game with the margin system. - Ruqiang Guo; Linjie Liu; Yuyuan Liu; Liang Zhang 017 (Appl. Math. Comput., 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)

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools. - Junde Wu; Jiayuan Zhu; Yuyuan Liu; Min Xu; Yueming Jin (ACL (1), 2025)

BSFL: A blockchain-oriented secure federated learning scheme for 5G. - Gang Han; Weiran Ma; Yinghui Zhang; Yuyuan Liu; Shuanggen Liu (J. Inf. Secur. Appl., 2025)

Leveraging labelled data knowledge: A cooperative rectification learning network for semi-supervised 3D medical image segmentation. - Yanyan Wang; Kechen Song; Yuyuan Liu; Shuai Ma; Yunhui Yan; Gustavo Carneiro 001 (Medical Image Anal., 2025)

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Yuyuan Liu; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2025)

Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research. - Junde Wu; Jiayuan Zhu; Yuyuan Liu (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)

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. - Jiazhen Pan; Bailiang Jian; Paul Hager; Yundi Zhang; Che Liu; Friederike Jungmann; Hongwei Bran Li; Chenyu You; Junde Wu; Jiayuan Zhu; Fenglin Liu; Yuyuan Liu; et al. (CoRR, 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)