Yuyuan Liu

According to our database, Yuyuan Liu authored at least 48 papers between 2016 and 2026.

Collaborative distances:

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

2026

Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning.

Yuyuan Liu, Can Peng, Yingyu Yang, Qianye Yang, Cheng Ouyang, J. Alison Noble

CoRR, May, 2026

From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding.

Yuyuan Liu, Yiping Ji, Anjie Le, Jiayuan Zhu, Jiazhen Pan, Can Peng, Jiajun Deng, Fengbei Liu, Junde Wu

CoRR, May, 2026

RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation.

Chengzhi Shen, Weixiang Shen, Tobias Susetzky, Chen Chen, Jun Li, Yuyuan Liu, Xuepeng Zhang, Zhenyu Gong, Daniel Rueckert, Jiazhen Pan

CoRR, May, 2026

Evo: Autoregressive-Diffusion Large Language Models with Evolving Balance.

Junde Wu, Minhao Hu, Jiayuan Zhu, Yuyuan Liu, Tianyi Zhang, Kang Li, Jingkun Chen, Jiazhen Pan, Min Xu, Yueming Jin

CoRR, March, 2026

Coevolutionary dynamics of cooperation, risk, and cost in collective risk games.

Lichen Wang, Shijia Hua, Yuyuan Liu, Liang Zhang, Linjie Liu, Attila Szolnoki

PLoS Comput. Biol., 2026

Evolutionary dynamics of trust with voluntary participation and group-shared sanctions.

Yuyuan Liu, Lichen Wang, Ruqiang Guo, Shijia Hua, Linjie Liu, Liang Zhang, Xiaojie Chen

Expert Syst. Appl., 2026

View-Guided Multi-Task Learning for Fetal Cardiac Segmentation and CHD Classification.

Yingyu Yang, Qianye Yang, Can Peng, Yuyuan Liu, J. Alison Noble

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse.

Anjie Le, Can Peng, Yuyuan Liu, J. Alison Noble

CoRR, November, 2025

A Post-Quantum Blockchain and Autonomous AI-Enabled Scheme for Secure Healthcare Information Exchange.

Linlin He, Siyuan Rao, Kexin Tian, Yuyuan Liu, Jue Wang, Shuanggen Liu, Xiuhua Lu

IEEE J. Biomed. Health Informatics, September, 2025

MedCutMix: A Data-Centric Approach to Improve Radiology Vision-Language Pre-training with Disease Awareness.

Sinuo Wang, Yutong Xie, Yuyuan Liu, Qi Wu

CoRR, September, 2025

Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew.

Can Peng, Yuyuan Liu, Yingyu Yang, Pramit Saha, Qianye Yang, J. Alison Noble

CoRR, September, 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

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, Niklas Bubeck, Christian Wachinger, Chen Chen, Zhenyu Gong, Cheng Ouyang, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert

CoRR, August, 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

Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research.

Junde Wu, Jiayuan Zhu, Yuyuan Liu

CoRR, February, 2025

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning.

Arpit Garg, Cuong Nguyen, Rafael Felix, Yuyuan Liu, Thanh-Toan Do, Gustavo Carneiro

CoRR, January, 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

Medical Image Anal., 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

Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning.

Jiayuan Zhu, Jiazhen Pan, Yuyuan Liu, Fenglin Liu, Junde Wu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools.

Junde Wu, Jiayuan Zhu, Yuyuan Liu, Min Xu, Yueming Jin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Evolution of trust in the N-player trust game with the margin system.

Ruqiang Guo, Linjie Liu, Yuyuan Liu, Liang Zhang

Appl. Math. Comput., 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

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

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

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation.

Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, 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

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

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

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

Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning.

Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro

CoRR, 2021

2020

Photoshopping Colonoscopy Video Frames.

Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2016

A Big Data Analysis and Application Platform for Civil Aircraft Health Management.

Jin Chen, Zhi Lyu, Yuyuan Liu, Jiayang Huang, Guigang Zhang, Jian Wang, Xi Chen

Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016