Yu Tian - RankMe

71 papers A* 12Journal 46Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging With FairLoRA. IEEE Trans. Medical Imaging Minghan Li, Congcong Wen, Yu Tian, Min Shi, Yan Luo, Hao Huang, Yi Fang, Mengyu Wang
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`	Equitable artificial intelligence for glaucoma screening with fair identity normalization. npj Digit. Medicine Min Shi, Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V. Boland, David S. Friedman, Louis R. Pasquale, Mengyu Wang
2025	J	`jnl`	FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA. CoRR Minghan Li, Congcong Wen, Yu Tian, Min Shi, Yan Luo, Hao Huang, Yi Fang, Mengyu Wang
2025	J	`jnl`	MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation. CoRR Md Zubair, Hao Zheng, Nussdorf Jonathan, Grayson W. Armstrong, Lucy Q. Shen, Gabriela Wilson, Yu Tian, Xingquan Zhu, Min Shi
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	A*	`conf`	Anomaly Heterogeneity Learning for Open-Set Supervised Anomaly Detection. CVPR Jiawen Zhu, Choubo Ding, Yu Tian, Guansong Pang
2024	A*	`conf`	AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection. ICLR Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen
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	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`	Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging. CoRR Milad Masroor, Tahir Hassan, Yu Tian, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro
2024	A*	`conf`	FairCLIP: Harnessing Fairness in Vision-Language Learning. CVPR Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang
2024	J	`jnl`	FairCLIP: Harnessing Fairness in Vision-Language Learning. CoRR Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang
2024	J	`jnl`	FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation. CoRR Yan Luo, Muhammad Osama Khan, Congcong Wen, Muhammad Muneeb Afzal, Titus Fidelis Wuermeling, Min Shi, Yu Tian, Yi Fang, Mengyu Wang
2024	—	`conf`	FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. ECCV (76) Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang
2024	J	`jnl`	FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. CoRR Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang
2024	A*	`conf`	FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling. ICLR Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang
2024	J	`jnl`	Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. IEEE Trans. Medical Imaging Yan Luo, Yu Tian, Min Shi, Louis R. Pasquale, Lucy Q. Shen, Nazlee Zebardast, Tobias Elze, Mengyu Wang
2024	J	`jnl`	RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps. Medical Image Anal. Min Shi, Yu Tian, Yan Luo, Tobias Elze, Mengyu Wang
2024	—	`conf`	Semantic Role Labeling Guided Out-of-distribution Detection. LREC/COLING Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
2023	J	`jnl`	Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection. CoRR Jiawen Zhu, Choubo Ding, Yu Tian, Guansong Pang
2023	J	`jnl`	AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection. CoRR Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen
2023	J	`jnl`	Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. IEEE J. Biomed. Health Informatics Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang
2023	J	`jnl`	Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning. CoRR Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tian, 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`	FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling. CoRR Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang
2023	J	`jnl`	Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling. CoRR Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang
2023	A*	`conf`	Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. ICCV Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang
2023	J	`jnl`	Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. CoRR Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang
2023	J	`jnl`	Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. CoRR Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang
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	J	`jnl`	Semantic Role Labeling Guided Out-of-distribution Detection. CoRR Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
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	J	`jnl`	Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. CoRR Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang
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	A*	`conf`	Deep One-Class Classification via Interpolated Gaussian Descriptor. AAAI Yuanhong Chen, Yu Tian, Guansong Pang, 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	J	`jnl`	Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. CoRR Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei 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	—	`conf`	Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	J	`jnl`	Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, 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`	Noisy Label Learning for Large-scale Medical Image Classification. CoRR Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, 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
2021	—	`conf`	Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. MLMI@MICCAI Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification. CoRR Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. CoRR Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
2021	J	`jnl`	Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. CoRR Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2021	A*	`conf`	Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2020	—	`conf`	Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. MICCAI (6) Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2020	J	`jnl`	Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. CoRR Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, 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	—	`conf`	One-Stage Five-Class Polyp Detection and Classification. ISBI Yu Tian, Leonardo Z. C. T. Pu, Rajvinder Singh, Alastair D. Burt, 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