Hanyin Wang
Orcid: 0000-0001-7649-0892
According to our database1,
Hanyin Wang
authored at least 21 papers
between 2019 and 2025.
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Bibliography
2025
Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding.
CoRR, May, 2025
A perspective for adapting generalist AI to specialized medical AI applications and their challenges.
npj Digit. Medicine, 2025
Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients.
npj Digit. Medicine, 2024
Process-Supervised Reward Models for Clinical Note Generation: A Scalable Approach Guided by Domain Expertise.
CoRR, 2024
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges.
CoRR, 2024
Adapting Open-Source Large Language Models for Cost-Effective, Expert-Level Clinical Note Generation with On-Policy Reinforcement Learning.
CoRR, 2024
2023
Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries.
J. Am. Medical Informatics Assoc., April, 2023
J. Am. Medical Informatics Assoc., January, 2023
CoRR, 2023
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources.
CoRR, 2023
2022
npj Digit. Medicine, 2022
Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants.
BMC Medical Informatics Decis. Mak., 2022
Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets.
CoRR, 2022
CoRR, 2022
2021
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients.
CoRR, 2021
2020
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network.
Artif. Intell. Medicine, 2020
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019