Yan Luo

Orcid: 0000-0001-5135-0316

Affiliations:

Harvard University, Harvard Ophthalmology AI Laboratory, Cambridge, MA, USA
University of Minnesota Twin Cities, Department of Computer Science and Engineering, Minneapolis, MN, USA (PhD 2022)
National University of Singapore, Department of Electrical and Computer Engineering, Singapore (former)

According to our database¹, Yan Luo authored at least 31 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

On Demographic Group Fairness Guarantees in Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging With FairLoRA.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, April, 2026

TransFair: Transferring fairness from ocular disease classification to progression prediction.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2026

2025

CurveFlow: Curvature-Guided Flow Matching for Image Generation.

[BibT_eX]

[DOI]

CoRR, August, 2025

Learning to Predict Gradients for Semi-Supervised Continual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Equitable artificial intelligence for glaucoma screening with fair identity normalization.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2025

An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning.

[BibT_eX]

[DOI]

J. Imaging Inform. Medicine, 2025

2024

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, July, 2024

RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps.

[BibT_eX]

[DOI]

Medical Image Anal., 2024

Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation.

[BibT_eX]

[DOI]

Yan Luo

Muhammad Osama Khan

Congcong Wen

Muhammad Muneeb Afzal

Titus Fidelis Wuermeling

CoRR, 2024

TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

Yu Tian

Congcong Wen

Min Shi

Muhammad Muneeb Afzal

Proceedings of the Computer Vision - ECCV 2024, 2024

FairCLIP: Harnessing Fairness in Vision-Language Learning.

[BibT_eX]

[DOI]

Yan Luo

Min Shi

Muhammad Osama Khan

Muhammad Muneeb Afzal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, September, 2023

Learning to Minimize the Remainder in Supervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Direction Concentration Learning: Enhancing Congruency in Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning to Predict Trustworthiness with Steep Slope Loss.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

n-Reference Transfer Learning for Saliency Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features.

[BibT_eX]

[DOI]

CoRR, 2019

Visual Attention in Multi-Label Image Classification.

[BibT_eX]

[DOI]

Yan Luo

Ming Jiang

Qi Zhao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2015

Multi-Camera Saliency.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Foveation-based Mechanisms Alleviate Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2015

Label Consistent Quadratic Surrogate model for visual saliency prediction.

[BibT_eX]

[DOI]

Yan Luo

Yongkang Wong

Qi Zhao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Yan Luo

Timeline

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