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ORCIDChao Yan 0004
Person information
- affiliation: Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN ,USA
Other persons with the same name
- Chao Yan — disambiguation page
- Chao Yan 0001 — Intel, Portland, OR, USA (and 1 more)
- Chao Yan 0002 — University of Science and Technology of China, Hefei, China
- Chao Yan 0003
![[0000-0002-3133-1836]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3133-1836")
— Xi'an Jiaotong-Liverpool University, Suzhou, China - Chao Yan 0005 — Beihang University, School of Aeronautic Science and Engineering, Beijing, China (and 1 more)
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Journal Articles
- 2025
[j18]Katherine E. Brown, Chao Yan, Zhuohang Li, Xinmeng Zhang, Benjamin X. Collins, You Chen, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin:
Large language models are less effective at clinical prediction tasks than locally trained machine learning models. J. Am. Medical Informatics Assoc. 32(5): 811-822 (2025)- [j17]Chao Yan, Monika E. Grabowska, Rut Thakkar, Alyson L. Dickson, Peter J. Embí, QiPing Feng, Joshua C. Denny, Vern Eric Kerchberger, Bradley A. Malin, Wei-Qi Wei:
Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records. J. Am. Medical Informatics Assoc. 32(6): 1007-1014 (2025) - [j16]Qiong Wu, Jenna Marie Reps, Lu Li, Bingyu Zhang, Yiwen Lu, Jiayi Tong, Dazheng Zhang, Thomas Lumley, Milou T. Brand, Mui Van Zandt, Thomas Falconer, Xing He, Yu Huang, Haoyang Li, Chao Yan, Guojun Tang, Andrew E. Williams, Fei Wang, Jiang Bian, Bradley A. Malin, George Hripcsak, Martijn J. Schuemie, Yun Lu, Steve Drew, Jiayu Zhou, David A. Asch, Yong Chen:
COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. npj Digit. Medicine 8(1) (2025) - [j15]Lisa Pilgram, Fida Kamal Dankar, Jörg Drechsler, Mark Elliot, Josep Domingo-Ferrer, Paul Francis, Murat Kantarcioglu, Linglong Kong, Bradley A. Malin, Krishnamurty Muralidhar, Puja Myles, Fabian Prasser, Jean Louis Raisaro, Chao Yan, Khaled El Emam:
A consensus privacy metrics framework for synthetic data. Patterns 6(10): 101320 (2025) - 2024
- [j14]Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen:
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. J. Am. Medical Informatics Assoc. 31(6): 1303-1312 (2024) - [j13]Chao Yan, Henry H. Ong, Monika E. Grabowska, Matthew S. Krantz, Wu-Chen Su, Alyson L. Dickson, Josh F. Peterson, QiPing Feng, Dan M. Roden, C. Michael Stein, Vern Eric Kerchberger, Bradley A. Malin, Wei-Qi Wei:
Large language models facilitate the generation of electronic health record phenotyping algorithms. J. Am. Medical Informatics Assoc. 31(9): 1994-2001 (2024) - [j12]Chao Yan, Monika E. Grabowska, Alyson L. Dickson, Bingshan Li, Zhexing Wen, Dan M. Roden, C. Michael Stein, Peter J. Embí, Josh F. Peterson, QiPing Feng, Bradley A. Malin, Wei-Qi Wei:
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation. npj Digit. Medicine 7(1) (2024) - 2022
- [j11]Xiaoge Zhang, Felix T. S. Chan, Chao Yan, Indranil Bose:
Towards risk-aware artificial intelligence and machine learning systems: An overview. Decis. Support Syst. 159: 113800 (2022) - [j10]J. Thomas Brown, Chao Yan, Weiyi Xia, Zhijun Yin, Zhiyu Wan, Aris Gkoulalas-Divanis, Murat Kantarcioglu, Bradley A. Malin:
Dynamically adjusting case reporting policy to maximize privacy and public health utility in the face of a pandemic. J. Am. Medical Informatics Assoc. 29(5): 853-863 (2022) - [j9]Ziqi Zhang, Chao Yan, Xinmeng Zhang, Steve Nyemba, Bradley A. Malin:
Forecasting the future clinical events of a patient through contrastive learning. J. Am. Medical Informatics Assoc. 29(9): 1584-1592 (2022) - [j8]Ziqi Zhang, Chao Yan, Bradley A. Malin:
Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation. J. Am. Medical Informatics Assoc. 29(11): 1890-1898 (2022) - [j7]Ziqi Zhang, Chao Yan, Bradley A. Malin:
Membership inference attacks against synthetic health data. J. Biomed. Informatics 125: 103977 (2022) - 2021
- [j6]Ziqi Zhang, Chao Yan, Thomas A. Lasko, Jimeng Sun, Bradley A. Malin:
SynTEG: a framework for temporal structured electronic health data simulation. J. Am. Medical Informatics Assoc. 28(3): 596-604 (2021) - [j5]Chao Yan, Cheng Gao, Ziqi Zhang, Wencong Chen, Bradley A. Malin, Eugene Wesley Ely, Mayur B. Patel, You Chen:
Predicting brain function status changes in critically ill patients via Machine learning. J. Am. Medical Informatics Assoc. 28(11): 2412-2422 (2021) - [j4]Xinmeng Zhang, Chao Yan, Bradley A. Malin, Mayur B. Patel, You Chen:
Predicting next-day discharge via electronic health record access logs. J. Am. Medical Informatics Assoc. 28(12): 2670-2680 (2021) - 2020
- [j3]Ziqi Zhang, Chao Yan, Diego A. Mesa, Jimeng Sun, Bradley A. Malin:
Ensuring electronic medical record simulation through better training, modeling, and evaluation. J. Am. Medical Informatics Assoc. 27(1): 99-108 (2020) - [j2]Xinmeng Zhang, Chao Yan, Cheng Gao, Bradley A. Malin, You Chen:
Predicting Missing Values in Medical Data Via XGBoost Regression. J. Heal. Informatics Res. 4(4): 383-394 (2020) - 2019
- [j1]Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin:
Database Audit Workload Prioritization via Game Theory. ACM Trans. Priv. Secur. 22(3): 17:1-17:21 (2019)
Conference and Workshop Papers
- 2024
- [c21]Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Kumar Sricharan, Murat Kantarcioglu, Bradley A. Malin:
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation. EMNLP 2024: 6130-6151 - 2023
- [c20]Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang:
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS 2023 - 2022
- [c19]Chao Yan, Yao Yan, Ziqi Zhang, Zhiyu Wan, Justin Guinney, Sean D. Mooney, Bradley A. Malin:
Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking. AMIA 2022 - [c18]Abinitha Gourabathina, Zhiyu Wan, J. Thomas Brown, Chao Yan, Bradley A. Malin:
Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model. BIBM 2022: 961-968 - [c17]Xinmeng Zhang, Zhiyu Wan, Chao Yan, J. Thomas Brown, Weiyi Xia, Aris Gkoulalas-Divanis, Murat Kantarcioglu, Bradley A. Malin:
How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case Study. PSD 2022: 361-374 - 2021
- [c16]Chao Yan, Steve Nyemba, Kelsey R. Mayo, Ziqi Zhang, Francis Ratsimbazafy, Bradley A. Malin:
Synthetic Data to Support Engineering and Demonstrations in the All of Us Research Program. AMIA 2021 - [c15]Xinmeng Zhang, Chao Yan, Mayur B. Patel, Bradley A. Malin, You Chen:
Predicting Next-Day Discharge via Electronic Health Record Audit Logs. AMIA 2021 - [c14]Ziqi Zhang, Chao Yan, Xinmeng Zhang, Steve Nyemba, Bradley A. Malin:
CCF-CL: Forecasting the Clinical Status of a Patient Through Contrastive Learning. AMIA 2021 - 2020
- [c13]Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik:
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. AAAI 2020: 946-953 - [c12]Chao Yan, Ziqi Zhang, Steve Nyemba, Bradley A. Malin:
Generating Electronic Health Records with Multiple Data Types and Constraints. AMIA 2020 - [c11]Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin:
To Warn or Not to Warn: Online Signaling in Audit Games. ICDE 2020: 481-492 - 2019
- [c10]Cheng Gao, Chao Yan, Bradley A. Malin, You Chen:
Corpus Size Influences Clinical Concept Embeddings. AMIA 2019 - [c9]Yongtai Liu, Chao Yan, Zhijun Yin, Zhiyu Wan, Weiyi Xia, Murat Kantarcioglu, Yevgeniy Vorobeychik, Ellen Wright Clayton, Bradley A. Malin:
Biomedical Research Cohort Membership Disclosure on Social Media. AMIA 2019 - [c8]Cheng Gao, Chao Yan, Sarah Osmundson, Bradley A. Malin, You Chen:
A Deep Learning Approach to Predict Neonatal Encephalopathy from Electronic Health Records. ICHI 2019: 1-7 - [c7]Chao Yan, Cheng Gao, Xinmeng Zhang, You Chen, Bradley A. Malin:
Deep Imputation of Temporal Data. ICHI 2019: 1-3 - [c6]Xinmeng Zhang, Chao Yan, Cheng Gao, Bradley A. Malin, You Chen:
XGBoost Imputation for Time Series Data. ICHI 2019: 1-3 - 2018
- [c5]Chao Yan, Zhijun Yin, Stanley Xiang, You Chen, Yevgeniy Vorobeychik, Daniel Fabbri, Abel N. Kho, David M. Liebovitz, Bradley A. Malin:
Mining the Best Observational Window to Model Social Phenomena. CIC 2018: 46-55 - [c4]Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin:
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing. ICDE 2018: 1304-1307 - 2017
- [c3]Aron Laszka, Yevgeniy Vorobeychik, Daniel Fabbri, Chao Yan, Bradley A. Malin:
A Game-Theoretic Approach for Alert Prioritization. AAAI Workshops 2017 - [c2]Monica Hedda, Bradley A. Malin, Chao Yan, Daniel Fabbri:
Evaluating the Effectiveness of Auditing Rules for Electronic Health Record Systems. AMIA 2017 - 2016
- [c1]Chao Yan, You Chen, Bo Li, David M. Liebovitz, Bradley A. Malin:
Learning Clinical Workflows to Identify Subgroups of Heart Failure Patients. AMIA 2016
Informal and Other Publications
- 2025
- [i14]Xiaoge Zhang, Tao Wang, Chao Yan, Fedaa Najdawi, Kai Zhou, Yuan Ma, Yiu-ming Cheung, Bradley A. Malin:
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images. CoRR abs/2501.00053 (2025) - [i13]Zhuohang Li, Chao Yan, Nicholas J. Jackson, Wendi Cui, Bo Li, Jiaxin Zhang, Bradley A. Malin:
Towards Statistical Factuality Guarantee for Large Vision-Language Models. CoRR abs/2502.20560 (2025) - [i12]Lisa Pilgram, Fida K. Dankar, Jörg Drechsler, Mark Elliot, Josep Domingo-Ferrer, Paul Francis, Murat Kantarcioglu, Linglong Kong, Bradley A. Malin, Krishnamurty Muralidhar, Puja Myles, Fabian Prasser, Jean Louis Raisaro, Chao Yan, Khaled El Emam:
A Consensus Privacy Metrics Framework for Synthetic Data. CoRR abs/2503.04980 (2025) - [i11]Martin C. Were, Ang Li, Bradley A. Malin, Zhijun Yin, Joseph R. Coco, Benjamin X. Collins, Ellen Wright Clayton, Laurie L. Novak, Rachele Hendricks-Sturrup, Abiodun Oluyomi, Shilo Anders, Chao Yan:
Role and Use of Race in AI/ML Models Related to Health. CoRR abs/2504.00899 (2025) - 2024
- [i10]Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Kumar Sricharan, Murat Kantarcioglu, Bradley A. Malin:
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation. CoRR abs/2410.08320 (2024) - 2023
- [i9]Zhuohang Li, Chao Yan, Xinmeng Zhang, Gharib Gharibi, Zhijun Yin, Xiaoqian Jiang, Bradley A. Malin:
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics. CoRR abs/2308.11027 (2023) - 2022
- [i8]Steve Nyemba, Chao Yan, Ziqi Zhang, Amol Rajmane, Pablo Meyer, Prithwish Chakraborty, Bradley A. Malin:
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database. CoRR abs/2207.02445 (2022) - [i7]Chao Yan, Yao Yan, Zhiyu Wan, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney, Bradley A. Malin:
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models. CoRR abs/2208.01230 (2022) - 2021
- [i6]Prithwish Chakraborty, James V. Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed F. Ghalwash, Zach Shahn, Parthasarathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Yuen-Reed, Kenney Ng, Daby Sow, Bradley A. Malin:
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR abs/2104.04377 (2021) - [i5]J. Thomas Brown, Chao Yan, Weiyi Xia, Zhijun Yin, Zhiyu Wan, Aris Gkoulalas-Divanis, Murat Kantarcioglu, Bradley A. Malin:
Dynamically Adjusting Case-Reporting Policy to Maximize Privacy and Utility in the Face of a Pandemic. CoRR abs/2106.14649 (2021) - 2020
- [i4]Chao Yan, Ziqi Zhang, Steve Nyemba, Bradley A. Malin:
Generating Electronic Health Records with Multiple Data Types and Constraints. CoRR abs/2003.07904 (2020) - 2019
- [i3]Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin:
To Warn or Not to Warn: Online Signaling in Audit Games. CoRR abs/1905.06946 (2019) - [i2]Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik:
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. CoRR abs/1906.08805 (2019) - 2018
- [i1]Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin:
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing. CoRR abs/1801.07215 (2018)
Coauthor Index
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