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Yan Luo 0002
Person information
- affiliation: Harvard University, Harvard Ophthalmology AI Laboratory, Cambridge, MA, USA
- affiliation (PhD 2022): University of Minnesota Twin Cities, Department of Computer Science and Engineering, Minneapolis, MN, USA
- affiliation (former): National University of Singapore, Department of Electrical and Computer Engineering, Singapore
Other persons with the same name
- Yan Luo — disambiguation page
- Yan Luo 0001
— University of Massachusetts Lowell, MA, USA (and 1 more)
- Yan Luo 0003
— Shanghai Jiao Tong University, Department of Electronic Engineering, China
- Yan Luo 0004
— Hefei University of Technology, School of Computer Science and Information Engineering, China
- Yan Luo 0005 — City University of Hong Kong, Department of Computer Science, Hong Kong
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2020 – today
- 2025
- [j9]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
:
Equitable artificial intelligence for glaucoma screening with fair identity normalization. npj Digit. Medicine 8(1) (2025) - [j8]Yan Luo
, Yongkang Wong
, Mohan S. Kankanhalli
, Qi Zhao
:
Learning to Predict Gradients for Semi-Supervised Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2593-2607 (2025) - 2024
- [j7]Min Shi, Yu Tian
, Yan Luo
, Tobias Elze
, Mengyu Wang
:
RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps. Medical Image Anal. 94: 103110 (2024) - [j6]Yan Luo
, Yu Tian
, Min Shi
, Louis R. Pasquale
, Lucy Q. Shen
, Nazlee Zebardast, Tobias Elze
, Mengyu Wang
:
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. IEEE Trans. Medical Imaging 43(7): 2623-2633 (2024) - [c8]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:
FairCLIP: Harnessing Fairness in Vision-Language Learning. CVPR 2024: 12289-12301 - [c7]Yu Tian
, Congcong Wen
, Min Shi
, Muhammad Muneeb Afzal, Hao Huang
, Muhammad Osama Khan, Yan Luo
, Yi Fang
, Mengyu Wang
:
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. ECCV (76) 2024: 251-271 - [c6]Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang:
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling. ICLR 2024 - [i17]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:
FairCLIP: Harnessing Fairness in Vision-Language Learning. CoRR abs/2403.19949 (2024) - [i16]Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang:
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. CoRR abs/2407.08813 (2024) - [i15]Leila Gheisi, Henry Chu, Raju Gottumukkala, Yan Luo, Xingquan Zhu, Mengyu Wang, Min Shi:
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction. CoRR abs/2412.00051 (2024) - [i14]Yan Luo, Muhammad Osama Khan, Congcong Wen, Muhammad Muneeb Afzal, Titus Fidelis Wuermeling, Min Shi, Yu Tian, Yi Fang, Mengyu Wang:
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation. CoRR abs/2412.20374 (2024) - [i13]Yan Luo, Congcong Wen, Min Shi, Hao Huang, Yi Fang, Mengyu Wang:
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning. CoRR abs/2412.20377 (2024) - 2023
- [j5]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
:
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. IEEE J. Biomed. Health Informatics 27(9): 4329-4340 (2023) - [j4]Yan Luo
, Yongkang Wong
, Mohan S. Kankanhalli
, Qi Zhao
:
Learning to Minimize the Remainder in Supervised Learning. IEEE Trans. Multim. 25: 1738-1748 (2023) - [c5]Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang:
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. ICCV 2023: 20414-20425 - [i12]Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang:
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. CoRR abs/2306.09264 (2023) - [i11]Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang:
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. CoRR abs/2308.13411 (2023) - [i10]Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang:
Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling. CoRR abs/2310.02492 (2023) - [i9]Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang:
FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling. CoRR abs/2311.02189 (2023) - 2022
- [i8]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Minimize the Remainder in Supervised Learning. CoRR abs/2201.09193 (2022) - [i7]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Gradients for Semi-Supervised Continual Learning. CoRR abs/2201.09196 (2022) - [i6]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:
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. CoRR abs/2209.00773 (2022) - 2021
- [j3]Yan Luo
, Yongkang Wong
, Mohan S. Kankanhalli
, Qi Zhao:
Direction Concentration Learning: Enhancing Congruency in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1928-1946 (2021) - [c4]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Trustworthiness with Steep Slope Loss. NeurIPS 2021: 21533-21544 - [i5]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Learning to Predict Trustworthiness with Steep Slope Loss. CoRR abs/2110.00054 (2021) - 2020
- [j2]Yan Luo
, Yongkang Wong
, Mohan S. Kankanhalli
, Qi Zhao:
G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features. IEEE Trans. Neural Networks Learn. Syst. 31(2): 685-699 (2020) - [c3]Yan Luo
, Yongkang Wong
, Mohan S. Kankanhalli
, Qi Zhao
:
n-Reference Transfer Learning for Saliency Prediction. ECCV (8) 2020: 502-519 - [i4]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
n-Reference Transfer Learning for Saliency Prediction. CoRR abs/2007.05104 (2020)
2010 – 2019
- 2019
- [c2]Yan Luo, Ming Jiang
, Qi Zhao:
Visual Attention in Multi-Label Image Classification. CVPR Workshops 2019: 820-827 - [i3]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features. CoRR abs/1904.04317 (2019) - [i2]Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
Direction Concentration Learning: Enhancing Congruency in Machine Learning. CoRR abs/1912.08136 (2019) - 2015
- [j1]Yan Luo
, Ming Jiang
, Yongkang Wong, Qi Zhao:
Multi-Camera Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2057-2070 (2015) - [c1]Yan Luo
, Yongkang Wong, Qi Zhao:
Label Consistent Quadratic Surrogate model for visual saliency prediction. CVPR 2015: 5060-5069 - [i1]Yan Luo
, Xavier Boix, Gemma Roig
, Tomaso A. Poggio, Qi Zhao:
Foveation-based Mechanisms Alleviate Adversarial Examples. CoRR abs/1511.06292 (2015)
Coauthor Index

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last updated on 2025-07-28 21:11 CEST by the dblp team
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