Yuyuan Liu - RankMe

56 papers A* 7Journal 38Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Coevolutionary dynamics of cooperation, risk, and cost in collective risk games. PLoS Comput. Biol. Lichen Wang, Shijia Hua, Yuyuan Liu, Liang Zhang, Linjie Liu, Attila Szolnoki
2026	J	`jnl`	Evo: Autoregressive-Diffusion Large Language Models with Evolving Balance. CoRR Junde Wu, Minhao Hu, Jiayuan Zhu, Yuyuan Liu, Tianyi Zhang, Kang Li, Jingkun Chen, Jiazhen Pan, Min Xu, Yueming Jin
2026	J	`jnl`	Evolutionary dynamics of trust with voluntary participation and group-shared sanctions. Expert Syst. Appl. Yuyuan Liu, Lichen Wang, Ruqiang Guo, Shijia Hua, Linjie Liu, Liang Zhang, Xiaojie Chen
2025	J	`jnl`	A Post-Quantum Blockchain and Autonomous AI-Enabled Scheme for Secure Healthcare Information Exchange. IEEE J. Biomed. Health Informatics Linlin He, Siyuan Rao, Kexin Tian, Yuyuan Liu, Jue Wang, Shuanggen Liu, Xiuhua Lu
2025	J	`jnl`	AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning. CoRR Arpit Garg, Cuong Nguyen, Rafael Felix, Yuyuan Liu, Thanh-Toan Do, Gustavo Carneiro
2025	—	`conf`	Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools. ACL (1) Junde Wu, Jiayuan Zhu, Yuyuan Liu, Min Xu, Yueming Jin
2025	J	`jnl`	Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research. CoRR Junde Wu, Jiayuan Zhu, Yuyuan Liu
2025	A*	`conf`	Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning. EMNLP Jiayuan Zhu, Jiazhen Pan, Yuyuan Liu, Fenglin Liu, Junde Wu
2025	J	`jnl`	AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting. CoRR Yuyuan Liu, Yuanhong Chen, Chong Wang, Junlin Han, Junde Wu, Can Peng, Jingkun Chen, Yu Tian, Gustavo Carneiro
2025	J	`jnl`	BSFL: A blockchain-oriented secure federated learning scheme for 5G. J. Inf. Secur. Appl. Gang Han, Weiran Ma, Yinghui Zhang, Yuyuan Liu, Shuanggen Liu
2025	J	`jnl`	Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. CoRR 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
2025	J	`jnl`	Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation. CoRR Yanyan Wang, Kechen Song, Yuyuan Liu, Shuai Ma, Yunhui Yan, Gustavo Carneiro
2025	J	`jnl`	Leveraging labelled data knowledge: A cooperative rectification learning network for semi-supervised 3D medical image segmentation. Medical Image Anal. Yanyan Wang, Kechen Song, Yuyuan Liu, Shuai Ma, Yunhui Yan, Gustavo Carneiro
2025	J	`jnl`	MedCutMix: A Data-Centric Approach to Improve Radiology Vision-Language Pre-training with Disease Awareness. CoRR Sinuo Wang, Yutong Xie, Yuyuan Liu, Qi Wu
2025	J	`jnl`	Mixture of Gaussian-Distributed Prototypes With Generative Modelling for Interpretable and Trustworthy Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Chong Wang, Yuanhong Chen, Fengbei Liu, Yuyuan Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro
2025	J	`jnl`	Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew. CoRR Can Peng, Yuyuan Liu, Yingyu Yang, Pramit Saha, Qianye Yang, J. Alison Noble
2025	J	`jnl`	POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse. CoRR Anjie Le, Can Peng, Yuyuan Liu, J. Alison Noble
2025	J	`jnl`	Translation Consistent Semi-Supervised Segmentation for 3D Medical Images. IEEE Trans. Medical Imaging Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2024	J	`jnl`	BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations. Medical Image Anal. 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
2024	—	`conf`	CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation. ECCV (10) Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro
2024	J	`jnl`	CPM: Class-conditional Prompting Machine for Audio-visual Segmentation. CoRR Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro
2024	J	`jnl`	Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. CoRR Hu Wang, Congbo Ma, Yuyuan Liu, Yuanhong Chen, Yu Tian, Jodie Avery, Louise Hull, Gustavo Carneiro
2024	J	`jnl`	Evolution of trust in the N-player trust game with the margin system. Appl. Math. Comput. Ruqiang Guo, Linjie Liu, Yuyuan Liu, Liang Zhang
2024	—	`conf`	ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. ECCV (1) Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2024	J	`jnl`	ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. CoRR Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
2024	A*	`conf`	Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. CVPR Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro
2023	J	`jnl`	A Closer Look at Audio-Visual Semantic Segmentation. CoRR Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro
2023	J	`jnl`	BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations. CoRR 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
2023	A*	`conf`	BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. ICCV Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro
2023	J	`jnl`	Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior. CoRR Fengbei Liu, Yuanhong Chen, Chong Wang, Yuyuan Liu, Gustavo Carneiro
2023	A*	`conf`	Learning Support and Trivial Prototypes for Interpretable Image Classification. ICCV Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
2023	J	`jnl`	Learning Support and Trivial Prototypes for Interpretable Image Classification. CoRR Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
2023	A*	`conf`	Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. ICCV Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2023	J	`jnl`	Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2023	—	`conf`	Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro
2022	A*	`conf`	ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. CVPR Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
2022	—	`conf`	Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro
2022	J	`jnl`	Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro
2022	—	`conf`	Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. MICCAI (3) Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro
2022	J	`jnl`	Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. CoRR Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro
2022	—	`conf`	Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. MICCAI (3) Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
2022	—	`conf`	NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. MICCAI (3) Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro
2022	A*	`conf`	Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CVPR Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2022	—	`conf`	Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
2022	J	`jnl`	Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2022	J	`jnl`	Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification. CoRR Yuanhong Chen, Fengbei Liu, Yu Tian, Yuyuan Liu, Gustavo Carneiro
2022	J	`jnl`	Translation Consistent Semi-supervised Segmentation for 3D Medical Images. CoRR Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2022	J	`jnl`	Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2021	J	`jnl`	ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. CoRR Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
2021	J	`jnl`	Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. CoRR Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro
2021	J	`jnl`	Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	J	`jnl`	Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CoRR Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2021	J	`jnl`	Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. CoRR Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
2020	—	`conf`	Photoshopping Colonoscopy Video Frames. ISBI Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2019	J	`jnl`	Photoshopping Colonoscopy Video Frames. CoRR Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Z. C. T. Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2016	—	`conf`	A Big Data Analysis and Application Platform for Civil Aircraft Health Management. BigMM Jin Chen, Zhi Lyu, Yuyuan Liu, Jiayang Huang, Guigang Zhang, Jian Wang, Xi Chen