Label Consistent Quadratic Surrogate model for visual saliency prediction. - Yan Luo 002; Yongkang Wong; Qi Zhao 001 (CVPR, 2015)

Foveation-based Mechanisms Alleviate Adversarial Examples. - Yan Luo 002; Xavier Boix; Gemma Roig; Tomaso A. Poggio; Qi Zhao 001 (CoRR, 2015)

Multi-Camera Saliency. - Yan Luo 002; Ming Jiang 019; Yongkang Wong; Qi Zhao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Visual Attention in Multi-Label Image Classification. - Yan Luo 002; Ming Jiang 019; Qi Zhao 001 (CVPR Workshops, 2019)

G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features. - Yan Luo 002; Yongkang Wong; Mohan S. Kankanhalli; Qi Zhao 001 (CoRR, 2019)

n-Reference Transfer Learning for Saliency Prediction. - Yan Luo 002; Yongkang Wong; Mohan S. Kankanhalli; Qi Zhao 001 (ECCV (8), 2020)

G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features. - Yan Luo 002; Yongkang Wong; Mohan S. Kankanhalli; Qi Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learning to Predict Trustworthiness with Steep Slope Loss. - Yan Luo 002; Yongkang Wong; Mohan S. Kankanhalli; Qi Zhao 001 (NeurIPS, 2021)

Direction Concentration Learning: Enhancing Congruency in Machine Learning. - Yan Luo 002; Yongkang Wong; Mohan S. Kankanhalli; Qi Zhao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. - Min Shi 001; Anagha Lokhande; Mojtaba Sedigh Fazli; Vishal Sharma; Yu Tian 001; Yan Luo 002; Louis R. Pasquale; Tobias Elze; Michael V. Boland; Nazlee Zebardast; David S. Friedman; Lucy Q. Shen; et al. (CoRR, 2022)

Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. - Yan Luo 002; Min Shi 001; Yu Tian 001; Tobias Elze; Mengyu Wang 001 (ICCV, 2023)

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. - Yan Luo 002; Yu Tian 001; Min Shi 001; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling. - Yan Luo 002; Yu Tian 001; Min Shi 001; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling. - Yu Tian 001; Min Shi 001; Yan Luo 002; Ava Kouhana; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

Learning to Minimize the Remainder in Supervised Learning. - Yan Luo 002; Yongkang Wong; Mohan S. Kankanhalli; Qi Zhao 001 (IEEE Trans. Multim., 2023)

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. - Min Shi 001; Anagha Lokhande; Mojtaba Sedigh Fazli; Vishal Sharma; Yu Tian 001; Yan Luo 002; Louis R. Pasquale; Tobias Elze; Michael V. Boland; Nazlee Zebardast; David S. Friedman; Lucy Q. Shen; et al. (IEEE J. Biomed. Health Informatics, 2023)

FairCLIP: Harnessing Fairness in Vision-Language Learning. - Yan Luo 002; Min Shi 001; Muhammad Osama Khan; Muhammad Muneeb Afzal; Hao Huang 003; Shuaihang Yuan; Yu Tian 001; Luo Song; Ava Kouhana; Tobias Elze; Yi Fang 006; Mengyu Wang 001 (CVPR, 2024)

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. - Yu Tian 001; Congcong Wen; Min Shi 001; Muhammad Muneeb Afzal; Hao Huang 003; Muhammad Osama Khan; Yan Luo 002; Yi Fang 006; Mengyu Wang 001 (ECCV (76), 2024)

FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling. - Yu Tian 001; Min Shi 001; Yan Luo 002; Ava Kouhana; Tobias Elze; Mengyu Wang 001 (ICLR, 2024)

TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction. - Leila Gheisi; Henry Chu; Raju Gottumukkala; Yan Luo 002; Xingquan Zhu 001; Mengyu Wang 001; Min Shi 001 (CoRR, 2024)

FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation. - Yan Luo 002; Muhammad Osama Khan; Congcong Wen; Muhammad Muneeb Afzal; Titus Fidelis Wuermeling; Min Shi 001; Yu Tian 001; Yi Fang 006; Mengyu Wang 001 (CoRR, 2024)

Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning. - Yan Luo 002; Congcong Wen; Min Shi 001; Hao Huang 003; Yi Fang 006; Mengyu Wang 001 (CoRR, 2024)

RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps. - Min Shi 001; Yu Tian 001; Yan Luo 002; Tobias Elze; Mengyu Wang 001 (Medical Image Anal., 2024)

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. - Yan Luo 002; Yu Tian 001; Min Shi 001; Louis R. Pasquale; Lucy Q. Shen; Nazlee Zebardast; Tobias Elze; Mengyu Wang 001 (IEEE Trans. Medical Imaging, 2024)

Equitable artificial intelligence for glaucoma screening with fair identity normalization. - Min Shi 001; Yan Luo 002; Yu Tian 001; Lucy Q. Shen; Nazlee Zebardast; Mohammad Eslami; Saber Kazeminasab; Michael V. Boland; David S. Friedman; Louis R. Pasquale; Mengyu Wang 001 (npj Digit. Medicine, 2025)

Learning to Predict Gradients for Semi-Supervised Continual Learning. - Yan Luo 002; Yongkang Wong; Mohan S. Kankanhalli; Qi Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA. - Minghan Li; Congcong Wen; Yu Tian 001; Min Shi 001; Yan Luo 002; Hao Huang 003; Yi Fang 006; Mengyu Wang 001 (CoRR, 2025)