Publications

2025

1. AAAI Oral

   

   Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis

   Chengzhi Liu, Zile Huang, Zhe Chen, Feilong Tang, Yu Tian, Zhongxing Xu, Zihong Luo, Yalin Zheng, and Yanda Meng

   The 39th Annual AAAI Conference on Artificial Intelligence (AAAI Oral), 2025

   Website
2. NPJ Digit Med

   

   Equitable Artificial Intelligence for Glaucoma Screening with Fair Identity Normalization

   Min Shi^*, Yan Luo^*, Yu Tian, Lucy Q Shen, Tobias Elze, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V Boland, David S Friedman, and  others

   npj Digital Medicine (NPJ Digit Med), 2025

   PDF Code

2024

1. ECCV

   

   FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification

   Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, and Mengyu Wang

   European Conference on Computer Vision (ECCV), 2024

   PDF Code Website
2. CVPR

   

   FairCLIP: Harnessing Fairness in Vision-and-Language Learning

   Yan Luo, Min Shi, Osama Khan, Muhammad Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, and  others

   IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

   PDF Code Website
3. CVPR

   

   Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection

   Jiawen Zhu, Choubo Ding, Yu Tian, and Guansong Pang

   IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

   PDF Code
4. TVST

   

   Impact of Demographics on Regional Visual Field Loss and Deterioration in Glaucoma

   Yueyin Pang, Melody Tang, Min Shi, Yu Tian, Yan Luo, Tobias Elze, Louis R Pasquale, Nazlee Zebardast, Michael V Boland, David S Friedman, and  others

   Translational Vision Science & Technology (TVST), 2024

   PDF
5. TVST

   

   Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data

   Min Shi, Anagha Lokhande, Yu Tian, Yan Luo, Mohammad Eslami, Saber Kazeminasab, Tobias Elze, Lucy Q Shen, Louis R Pasquale, Sarah R Wellik, and  others

   Translational Vision Science & Technology (TVST), 2024

   PDF
6. TMI

   

   Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization

   Yan Luo^*, Yu Tian^*, Min Shi^*, Tobias Elze, and Mengyu Wang

   IEEE Transactions on Medical Imaging (TMI), 2024

   PDF Code Website
7. ICLR

   

   FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling

   Yu Tian, Yan Luo, Min Shi, Ava Kouhana, Tobias Elze, and Mengyu Wang

   International Conference on Learning Representations (ICLR), 2024

   PDF Code Website
8. ICLR

   

   AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection

   Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, and Jiming Chen

   International Conference on Learning Representations (ICLR), 2024

   PDF Code
9. COLING

   

   Semantic Role Labeling Guided Out-of-distribution Detection

   Jinan Zou^*, Maihao Guo^*, Yu Tian^*, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, and Javen Qinfeng Shi

   International Conference on Computational Linguistics (COLING), 2024

   PDF Code
10. TMI

    

    Translation Consistent Semi-supervised Segmentation for 3D Medical Images

    Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, and Gustavo Carneiro

    IEEE Transactions on Medical Imaging (TMI), 2024

    PDF Code
11. MedIA

    

    BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations

    Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Yu Tian, Fengbei Liu, Helen Frazer, Davis J McCarthy, Gustavo Carneiro, and  others

    Medical Image Analysis (MedIA), 2024

    PDF
12. MedIA

    

    RNFLT2Vec: Artifact-Corrected Representation Learning for Retinal Nerve Fiber Layer Thickness Maps

    Min Shi, Yu Tian, Yan Luo, Tobias Elze, and Mengyu Wang

    Medical Image Analysis (MedIA), 2024

    PDF

13. 

    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, and Gustavo Carneiro

    Deep Learning for Medical Image Analysis (Book Chapter) , 2024

    PDF

14. 

    WorldGPT: a Sora-inspired video AI agent as Rich world models from text and image inputs

    Deshun Yang^*, Luhui Hu^*, Yu Tian^*, Zihao Li, Chris Kelly, Bang Yang, Cindy Yang, and Yuexian Zou

    arXiv preprint arXiv:2403.07944 , 2024

    PDF

15. 

    Generalized Robot Learning Framework

    Jiahuan Yan, Zhouyang Hong, Yu Zhao, Yu Tian, Yunxin Liu, Travis Davies, and Luhui Hu

    arXiv preprint arXiv:2409.12061 , 2024

    PDF

2023

1. ICCV

   

   Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning

   Yan Luo^*, Min Shi^*, Yu Tian^*, Tobias Elze, and Mengyu Wang

   In IEEE/CVF international conference on computer vision (ICCV), 2023

   PDF Code Website
2. ICCV

   

   BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification

   Yuanhong Chen^*, Fengbei Liu^*, Hu Wang, Chong Wang, Yu Tian, Yuyuan Liu, and Gustavo Carneiro

   In IEEE/CVF international conference on computer vision (ICCV), 2023

   PDF Code
3. ICCV

   

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

   Yuyuan Liu^*, Choubo Ding^*, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian Reid, and Gustavo Carneiro

   In IEEE/CVF international conference on computer vision (ICCV), 2023

   PDF Code
4. ICCV

   

   Learning Support and Trivial Prototypes for Interpretable Image Classification

   Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J McCarthy, Helen Frazer, and Gustavo Carneiro

   In IEEE/CVF international conference on computer vision (ICCV), 2023

   PDF
5. TVST

   

   Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma

   Min Shi, Jessica A Sun, Anagha Lokhande, Yu Tian, Yan Luo, Tobias Elze, Lucy Q Shen, and Mengyu Wang

   Translational Vision Science & Technology (TVST), 2023

   PDF
6. MICCAI-MLMI

   

   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, and Gustavo Carneiro

   International Workshop on Machine Learning in Medical Imaging (MICCAI-MLMI), 2023

   PDF Code
7. MedIA

   

   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, and Gustavo Carneiro

   Medical Image Analysis (MedIA), 2023

   PDF Code
8. JBHI

   

   Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma

   Min Shi, Anagha Lokhande, Mojtaba S Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R Pasquale, Tobias Elze, Michael V Boland, Nazlee Zebardast, and  others

   IEEE Journal of Biomedical and Health Informatics (JBHI), 2023

   PDF Website

9. 

   Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling

   Yan Luo^*, Yu Tian^*, Min Shi^*, Tobias Elze, and Mengyu Wang

   arXiv preprint , 2023

   PDF Code Website

10. 

    UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework

    Chris Kelly, Luhui Hu, Cindy Yang, Yu Tian, Deshun Yang, Bang Yang, Zaoshan Huang, Zihao Li, and Yuexian Zou

    arXiv preprint , 2023

    PDF Code

11. 

    An artificial intelligence method for phenotyping of OCT scans using unsupervised and self-supervised deep learning

    Saber Kazeminasab, Sayuri Sekimitsu, Mojtaba Fazli, Mohammad Eslami, Min Shi, Yu Tian, Yan Luo, Mengyu Wang, Tobias Elze, and Nazlee Zebardast

    bioRxiv , 2023

    PDF

12. 

    Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning

    Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tain, and Gustavo Carneiro

    arXiv preprint , 2023

    PDF

2022

1. ECCV Oral

   

   Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

   Yu Tian^*, Yuyuan Liu^*, Guansong Pang, Fengbei Liu, Yuanhong Chen, and Gustavo Carneiro

   European Conference on Computer Vision (ECCV Oral), 2022

   PDF Code
2. MICCAI

   

   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 W Verjans, and Gustavo Carneiro

   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

   PDF Code
3. MICCAI

   

   NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification

   Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, and Gustavo Carneiro

   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

   PDF Code
4. MICCAI

   

   Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

   Yuanhong Chen, Wang Hu, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis McCarthy, Helen Frazer, and Gustavo Carneiro

   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

   PDF
5. MICCAI

   

   Knowledge Distillation to Ensemble Global and Interpretable Prototype-based Mammogram Classification Models

   Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis McCarthy, Michael Elliott, Helen Frazer, and Gustavo Carneiro

   International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

   PDF
6. CVPR

   

   ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification

   Fengbei Liu^*, Yu Tian^*, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, and Gustavo Carneiro

   IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

   PDF Code
7. CVPR

   

   Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

   Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, and Gustavo Carneiro

   IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

   PDF Code
8. AAAI Oral

   

   Deep One-Class Classification via Interpolated Gaussian Descriptor

   Yuanhong Chen^*, Yu Tian^{*^}, Guansong Pang, and Gustavo Carneiro

   In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI Oral), 2022

   PDF Code

2021

1. ICCV

   

   Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning

   Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W Verjans, and Gustavo Carneiro

   In IEEE/CVF international conference on computer vision (ICCV), 2021

   PDF Code
2. MICCAI

   

   Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

   Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon Ho Shin, Johan W Verjans, Rajvinder Singh, and Gustavo Carneiro

   In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

   PDF Code
3. MICCAI

   

   Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification

   Fengbei Liu^*, Yu Tian^*, Filipe R Cordeiro, Vasileios Belagiannis, Ian Reid, and Gustavo Carneiro

   In International Workshop on Machine Learning in Medical Imaging (MICCAI), 2021

   PDF Code

2020

1. MICCAI

   

   Few-shot anomaly detection for polyp frames from colonoscopy

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

   In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020

   PDF Code
2. ISBI

   

   Photoshopping colonoscopy video frames

   Yuyuan Liu^*, Yu Tian^{*^}, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W Verjans, and Gustavo Carneiro

   In IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020

   PDF
3. GIE

   

   Computer-aided diagnosis for characterization of colorectal lesions: comprehensive software that includes differentiation of serrated lesions

   Leonardo Zorron Cheng Tao Pu, Gabriel Maicas, Yu Tian, Takeshi Yamamura, Masanao Nakamura, Hiroto Suzuki, Gurfarmaan Singh, Khizar Rana, Yoshiki Hirooka, Alastair D Burt, and  others

   Gastrointestinal endoscopy (GIE), 2020

   PDF

2019

1. ISBI

   

   One-stage five-class polyp detection and classification

   Yu Tian, Leonardo ZCT Pu, Rajvinder Singh, Alastair D Burt, and Gustavo Carneiro

   In IEEE 16th International Symposium on Biomedical Imaging (ISBI), 2019

   PDF