Haoran Zhang
Haoran Zhang
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Hurtful words: quantifying biases in clinical contextual word embeddings
H Zhang, AX Lu, M Abdalla, M McDermott, M Ghassemi
Proceedings of the ACM Conference on Health, Inference, and Learning, 110-120, 2020
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
L Seyyed-Kalantari, H Zhang, M McDermott, IY Chen, M Ghassemi
Nature medicine 27 (12), 2176-2182, 2021
AI recognition of patient race in medical imaging: a modelling study
JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ...
The Lancet Digital Health 4 (6), e406-e414, 2022
Self-supervised contrastive learning of protein representations by mutual information maximization
AX Lu, H Zhang, M Ghassemi, A Moses
BioRxiv, 2020.09. 04.283929, 2020
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ...
arXiv preprint arXiv:2107.10356, 2021
An Empirical Framework for Domain Generalization in Clinical Settings
H Zhang, N Dullerud, L Seyyed-Kalantari, Q Morris, S Joshi, M Ghassemi
Proceedings of the Conference on Health, Inference, and Learning, 279-290, 2021
An empirical study of representation learning for reinforcement learning in healthcare
TW Killian, H Zhang, J Subramanian, M Fatemi, M Ghassemi
arXiv preprint arXiv:2011.11235, 2020
The road to explainability is paved with bias: Measuring the fairness of explanations
A Balagopalan, H Zhang, K Hamidieh, T Hartvigsen, F Rudzicz, ...
2022 ACM Conference on Fairness, Accountability, and Transparency, 1194-1206, 2022
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
SR Pfohl, H Zhang, Y Xu, A Foryciarz, M Ghassemi, NH Shah
Scientific reports 12 (1), 3254, 2022
Improving the Fairness of Chest X-ray Classifiers
H Zhang, N Dullerud, K Roth, L Oakden-Rayner, S Pfohl, M Ghassemi
Conference on Health, Inference, and Learning, 204-233, 2022
Identifying Transitional High Cost Users from Unstructured Patient Profiles Written by Primary Care Physicians
H Zhang, E Candido, AS Wilton, R Duchen, L Jaakkimainen, W Wodchis, ...
Learning Optimal Predictive Checklists
H Zhang, Q Morris, B Ustun, M Ghassemi
Advances in Neural Information Processing Systems 34, 2021
Categorizing emails using machine learning with textual features
H Zhang, J Rangrej, S Rais, M Hillmer, F Rudzicz, K Malikov
Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial …, 2019
PAN-cODE: COVID-19 forecasting using conditional latent ODEs
R Shi, H Zhang, Q Morris
Journal of the American Medical Informatics Association 29 (12), 2089-2095, 2022
Evaluating and Improving Robustness of Self-Supervised Representations to Spurious Correlations
K Hamidieh, H Zhang, M Ghassemi
ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing
S Gowda, S Joshi, H Zhang, M Ghassemi
Proceedings of the 30th ACM International Conference on Information …, 2021
Change is Hard: A Closer Look at Subpopulation Shift
Y Yang, H Zhang, D Katabi, M Ghassemi
arXiv preprint arXiv:2302.12254, 2023
Machine Learning for Health (ML4H) 2022
A Parziale, M Agrawal, S Tang, K Severson, L Oala, A Subbaswamy, ...
Machine Learning for Health, 1-11, 2022
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
H Zhang, H Singh, M Ghassemi, S Joshi
arXiv preprint arXiv:2210.10769, 2022
An Integrated Multi-Label Multi-Modal Framework in Deep Metric Learning
N Dullerud, K Roth, H Zhang, Q Jin, T Hartvigsen, M Ghassemi
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