Hi, I am a Ph.D. candidate at the Department of Electrical and Computer Engineering at The University of Texas at Austin, advised by Joydeep Ghosh and Ying Ding, while working closely with Yifan Peng. My research interests revolve around Natural Language Processing, Biomedical applications of LLMs. Before my Ph.D., I obtained my M.S. in Electrical and Computer Engineering at The University of Texas at Austin in 2021.
Publications
2024
A Natural Language Processing Approach to Detect Inconsistencies in Death Investigation Notes Attributing Suicide Circumstances
Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng
Communications Medicine, 2024.
Closing the Gap between Open-Source and Commercial Large Language Models for Medical Evidence Summarization
Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina R. Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas Campion, Zhiyong Lu, Chunhua Weng, Yifan Peng
npj Digital Medicine, 2024.
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH)
Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
arXiv preprint, 2024.
Towards Long-Tailed, Multi-Label Disease Classification from Chest X-ray: Overview of the CXR-LT Challenge
Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen-Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng.
Medical Image Analysis, 2024.
Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes
Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng.
arXiv preprint, 2024.
2023
An NLP Approach to Identify SDoH-Related Circumstance and Suicide Crisis from Death Investigation Narratives
Song Wang, Yifang Dang, Zhaoyi Sun, Ying Ding, Jyotishman Pathak, Cui Tao, Yunyu Xiao, Yifan Peng.
Journal of the American Medical Informatics Association (JAMIA), 2023.
CXR-LT: Multi-Label Long-Tailed Classification on Chest X-Rays
Gregory Holste, Song Wang, Ajay Jaiswal, Yuzhe Yang, Mingquan Lin, Yifan Peng, Atlas Wang.
Shared task for the workshop on Computer Vision for Automated Medical Diagnosis (CVAMD), held in association with the International Conference on Computer Vision (ICCV), 2023.
2022
Trustworthy Assertion Classification through Prompting
Song Wang, Liyan Tang, Akash Majety, Justin F Rousseau, George Shih, Ying Ding, Yifan Peng.
Journal of Biomedical Informatics (JBI), 2022.
Prior Knowledge Enhances Radiology Report Generation
Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng.
Proceedings of American Medical Informatics Association (AMIA) Annual Symposium, 2022.
Radiology Text Analysis System (RadText): Architecture and Evaluation
Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng.
Proceedings of IEEE the 10th International Conference on Healthcare Informatics (ICHI), 2022.
Knowledge Graph Applications in Medical Imaging Analysis: A Scoping Review
Song Wang, Mingquan Lin, Tirthankar Ghosal, Ying Ding, Yifan Peng.
Journal of Health Data Science, 2022.
Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays
Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao.
Proceedings of Data Augmentation, Labelling, and Imperfections (DALI), held in conjunction with MICCAI 2022.
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
Gregory Holste*, Song Wang*, Ziyu Jiang*, Thomas C Shen, George Shih, Ronald M Summers, Yifan Peng, Zhangyang Wang.
Proceedings of Data Augmentation, Labelling, and Imperfections (DALI) held in conjunction with MICCAI 2022.
2021
An Empirical Study of Using Radiology Reports and Images to Improve ICU-Mortality Prediction
Mingquan Lin*, Song Wang*, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng.
Proceedings of IEEE the 9th International Conference on Healthcare Informatics (ICHI), 2021.
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays
Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed Tewfik, George Shih, Ying Ding, Yifan Peng.
Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium, 2021.
Experience
Oct 2021 - Now: Applied Scientist Intern at ShortTok, Inc.
May 2021 - Aug 2021: Applied Scientist Intern at Robotics AI, Amazon.com, Inc.
News
Jan 2024: Excited to join the Journal of the American Medical Informatics Association (JAMIA) Student Editorial Board (SEB). I will serve a two-year term and contribute to the peer-review process for JAMIA.
July 2023: Invited talk “Extracting Suicide Causes and Discovering Annotation Inconsistencies in Death Investigation Notes through NLP Approaches” at AMIA NLP Working Group.
June 2023: Hosted The 6th International Workshop on Health Natural Language Processing (HealthNLP) at IEEE ICHI 2023, Houston TX.
May 2023: Served as a committee member at The Web Conference 2023, Austin TX.
Service
Serving as 2024-2026 Student Editorial Board for Journal of the American Medical Informatics Association (JAMIA).
Conference Reviewer serving ICCV’2023, ACL’2022-2023, AAAI’2022-2023, NeurIPS’2021-2023, AMIA’2022-2023, MICCAI’2022-2023, ICHI’2022-2023, IJCAI’2021.
Journal Reviewer serving Journal of Biomedical Informatics (JBI), Journal of the American Medical Informatics Association (JAMIA), Journal of BMC Digital Health.
More about Me
Passionate about food and lifestyle photography, check out my Instagram page and Bon Appétit!