Yan Luo

38 papers A* 5Journal 30Unranked 3
YearRankTypeTitle / 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
2026 J jnl
TransFair: Transferring fairness from ocular disease classification to progression prediction.
Artif. Intell. Medicine
Min Shi, Leila Gheisi, Chee-Hung Henry Chu, Raju Gottumukkala, Yan Luo, Mengyu Wang, Xingquan Zhu
2025 J jnl
CurveFlow: Curvature-Guided Flow Matching for Image Generation.
CoRR
Yan Luo, Drake Du, Hao Huang, Yi Fang, Mengyu Wang
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
Learning to Predict Gradients for Semi-Supervised Continual Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
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
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning.
CoRR
Yan Luo, Congcong Wen, Min Shi, Hao Huang, Yi Fang, 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 J jnl
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction.
CoRR
Leila Gheisi, Henry Chu, Raju Gottumukkala, Yan Luo, Xingquan Zhu, Mengyu Wang, Min Shi
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
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 J jnl
Learning to Minimize the Remainder in Supervised Learning.
IEEE Trans. Multim.
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
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 J jnl
Learning to Minimize the Remainder in Supervised Learning.
CoRR
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2022 J jnl
Learning to Predict Gradients for Semi-Supervised Continual Learning.
CoRR
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2021 J jnl
Direction Concentration Learning: Enhancing Congruency in Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2021 A* conf
Learning to Predict Trustworthiness with Steep Slope Loss.
NeurIPS
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2021 J jnl
Learning to Predict Trustworthiness with Steep Slope Loss.
CoRR
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2020 J jnl
G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features.
IEEE Trans. Neural Networks Learn. Syst.
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2020 — conf
n-Reference Transfer Learning for Saliency Prediction.
ECCV (8)
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2020 J jnl
n-Reference Transfer Learning for Saliency Prediction.
CoRR
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2019 J jnl
Direction Concentration Learning: Enhancing Congruency in Machine Learning.
CoRR
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2019 J jnl
G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features.
CoRR
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
2019 — conf
Visual Attention in Multi-Label Image Classification.
CVPR Workshops
Yan Luo, Ming Jiang, Qi Zhao
2015 J jnl
Foveation-based Mechanisms Alleviate Adversarial Examples.
CoRR
Yan Luo, Xavier Boix, Gemma Roig, Tomaso A. Poggio, Qi Zhao
2015 A* conf
Label Consistent Quadratic Surrogate model for visual saliency prediction.
CVPR
Yan Luo, Yongkang Wong, Qi Zhao
2015 J jnl
Multi-Camera Saliency.
IEEE Trans. Pattern Anal. Mach. Intell.
Yan Luo, Ming Jiang, Yongkang Wong, Qi Zhao