Chao Yan

60 papers A* 6C 1Misc 10Journal 37Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning When to Sample: Confidence-Aware Self-Consistency for Efficient LLM Chain-of-Thought Reasoning.
CoRR
Juming Xiong, Kevin Guo, Congning Ni, Chao Yan, Katherine E. Brown, Avinash Baidya, Xiang Gao, Bradley A. Malin, Zhijun Yin
2026 J jnl
PRISM: Differentially Private Synthetic Data with Structure-Aware Budget Allocation for Prediction.
CoRR
Amir Asiaee, Chao Yan, Zachary B. Abrams, Bradley A. Malin
2026 J jnl
Risk-Equalized Differentially Private Synthetic Data: Protecting Outliers by Controlling Record-Level Influence.
CoRR
Amir Asiaee, Chao Yan, Zachary B. Abrams, Bradley A. Malin
2026 J jnl
Stop Listening to Me! How Multi-turn Conversations Can Degrade Diagnostic Reasoning.
CoRR
Kevin H. Guo, Chao Yan, Avinash Baidya, Katherine E. Brown, Xiang Gao, Juming Xiong, Zhijun Yin, Bradley A. Malin
2025 J jnl
A Consensus Privacy Metrics Framework for Synthetic Data.
CoRR
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
2025 J jnl
A Reinforcement Learning Approach to Synthetic Data Generation.
CoRR
Natalia Espinosa-Dice, Nicholas J. Jackson, Chao Yan, Aaron Lee, Bradley A. Malin
2025 J jnl
A consensus privacy metrics framework for synthetic data.
Patterns
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
2025 J jnl
Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records.
J. Am. Medical Informatics Assoc.
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
2025 J jnl
COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data.
npj Digit. Medicine
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
2025 J jnl
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images.
CoRR
Xiaoge Zhang, Tao Wang, Chao Yan, Fedaa Najdawi, Kai Zhou, Yuan Ma, Yiu-ming Cheung, Bradley A. Malin
2025 J jnl
Large language models are less effective at clinical prediction tasks than locally trained machine learning models.
J. Am. Medical Informatics Assoc.
Katherine E. Brown, Chao Yan, Zhuohang Li, Xinmeng Zhang, Benjamin X. Collins, You Chen, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin
2025 J jnl
Role and Use of Race in AI/ML Models Related to Health.
CoRR
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
2025 A* conf
Towards Statistical Factuality Guarantee for Large Vision-Language Models.
EMNLP
Zhuohang Li, Chao Yan, Nicholas J. Jackson, Wendi Cui, Bo Li, Jiaxin Zhang, Bradley A. Malin
2025 J jnl
Towards Statistical Factuality Guarantee for Large Vision-Language Models.
CoRR
Zhuohang Li, Chao Yan, Nicholas J. Jackson, Wendi Cui, Bo Li, Jiaxin Zhang, Bradley A. Malin
2024 A* conf
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation.
EMNLP
Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Kumar Sricharan, Murat Kantarcioglu, Bradley A. Malin
2024 J jnl
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation.
CoRR
Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Kumar Sricharan, Murat Kantarcioglu, Bradley A. Malin
2024 J jnl
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.
J. Am. Medical Informatics Assoc.
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
2024 J jnl
Large language models facilitate the generation of electronic health record phenotyping algorithms.
J. Am. Medical Informatics Assoc.
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
2024 J jnl
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation.
npj Digit. Medicine
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
2023 A* conf
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
NeurIPS
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
2023 J jnl
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics.
CoRR
Zhuohang Li, Chao Yan, Xinmeng Zhang, Gharib Gharibi, Zhijun Yin, Xiaoqian Jiang, Bradley A. Malin
2022 J jnl
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models.
CoRR
Chao Yan, Yao Yan, Zhiyu Wan, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney, Bradley A. Malin
2022 Misc conf
Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking.
AMIA
Chao Yan, Yao Yan, Ziqi Zhang, Zhiyu Wan, Justin Guinney, Sean D. Mooney, Bradley A. Malin
2022 J jnl
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database.
CoRR
Steve Nyemba, Chao Yan, Ziqi Zhang, Amol Rajmane, Pablo Meyer, Prithwish Chakraborty, Bradley A. Malin
2022 J jnl
Dynamically adjusting case reporting policy to maximize privacy and public health utility in the face of a pandemic.
J. Am. Medical Informatics Assoc.
J. Thomas Brown, Chao Yan, Weiyi Xia, Zhijun Yin, Zhiyu Wan, Aris Gkoulalas-Divanis, Murat Kantarcioglu, Bradley A. Malin
2022 J jnl
Forecasting the future clinical events of a patient through contrastive learning.
J. Am. Medical Informatics Assoc.
Ziqi Zhang, Chao Yan, Xinmeng Zhang, Steve Nyemba, Bradley A. Malin
2022 C conf
How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case Study.
PSD
Xinmeng Zhang, Zhiyu Wan, Chao Yan, J. Thomas Brown, Weiyi Xia, Aris Gkoulalas-Divanis, Murat Kantarcioglu, Bradley A. Malin
2022 Misc conf
Inferring EHR Utilization Workflows through Audit Logs.
AMIA
Xinmeng Zhang, Yuying Zhao, Chao Yan, Tyler Derr, You Chen
2022 J jnl
Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation.
J. Am. Medical Informatics Assoc.
Ziqi Zhang, Chao Yan, Bradley A. Malin
2022 J jnl
Membership inference attacks against synthetic health data.
J. Biomed. Informatics
Ziqi Zhang, Chao Yan, Bradley A. Malin
2022 — conf
Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model.
BIBM
Abinitha Gourabathina, Zhiyu Wan, J. Thomas Brown, Chao Yan, Bradley A. Malin
2022 J jnl
Towards risk-aware artificial intelligence and machine learning systems: An overview.
Decis. Support Syst.
Xiaoge Zhang, Felix T. S. Chan, Chao Yan, Indranil Bose
2021 J jnl
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.
CoRR
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
2021 Misc conf
CCF-CL: Forecasting the Clinical Status of a Patient Through Contrastive Learning.
AMIA
Ziqi Zhang, Chao Yan, Xinmeng Zhang, Steve Nyemba, Bradley A. Malin
2021 J jnl
Dynamically Adjusting Case-Reporting Policy to Maximize Privacy and Utility in the Face of a Pandemic.
CoRR
J. Thomas Brown, Chao Yan, Weiyi Xia, Zhijun Yin, Zhiyu Wan, Aris Gkoulalas-Divanis, Murat Kantarcioglu, Bradley A. Malin
2021 Misc conf
Predicting Next-Day Discharge via Electronic Health Record Audit Logs.
AMIA
Xinmeng Zhang, Chao Yan, Mayur B. Patel, Bradley A. Malin, You Chen
2021 J jnl
Predicting brain function status changes in critically ill patients via Machine learning.
J. Am. Medical Informatics Assoc.
Chao Yan, Cheng Gao, Ziqi Zhang, Wencong Chen, Bradley A. Malin, Eugene Wesley Ely, Mayur B. Patel, You Chen
2021 J jnl
Predicting next-day discharge via electronic health record access logs.
J. Am. Medical Informatics Assoc.
Xinmeng Zhang, Chao Yan, Bradley A. Malin, Mayur B. Patel, You Chen
2021 J jnl
SynTEG: a framework for temporal structured electronic health data simulation.
J. Am. Medical Informatics Assoc.
Ziqi Zhang, Chao Yan, Thomas A. Lasko, Jimeng Sun, Bradley A. Malin
2021 Misc conf
Synthetic Data to Support Engineering and Demonstrations in the All of Us Research Program.
AMIA
Chao Yan, Steve Nyemba, Kelsey R. Mayo, Ziqi Zhang, Francis Ratsimbazafy, Bradley A. Malin
2020 J jnl
Ensuring electronic medical record simulation through better training, modeling, and evaluation.
J. Am. Medical Informatics Assoc.
Ziqi Zhang, Chao Yan, Diego A. Mesa, Jimeng Sun, Bradley A. Malin
2020 A* conf
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning.
AAAI
Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik
2020 Misc conf
Generating Electronic Health Records with Multiple Data Types and Constraints.
AMIA
Chao Yan, Ziqi Zhang, Steve Nyemba, Bradley A. Malin
2020 J jnl
Generating Electronic Health Records with Multiple Data Types and Constraints.
CoRR
Chao Yan, Ziqi Zhang, Steve Nyemba, Bradley A. Malin
2020 J jnl
Predicting Missing Values in Medical Data Via XGBoost Regression.
J. Heal. Informatics Res.
Xinmeng Zhang, Chao Yan, Cheng Gao, Bradley A. Malin, You Chen
2020 A* conf
To Warn or Not to Warn: Online Signaling in Audit Games.
ICDE
Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin
2019 — conf
A Deep Learning Approach to Predict Neonatal Encephalopathy from Electronic Health Records.
ICHI
Cheng Gao, Chao Yan, Sarah Osmundson, Bradley A. Malin, You Chen
2019 Misc conf
Biomedical Research Cohort Membership Disclosure on Social Media.
AMIA
Yongtai Liu, Chao Yan, Zhijun Yin, Zhiyu Wan, Weiyi Xia, Murat Kantarcioglu, Yevgeniy Vorobeychik, Ellen Wright Clayton, Bradley A. Malin
2019 Misc conf
Corpus Size Influences Clinical Concept Embeddings.
AMIA
Cheng Gao, Chao Yan, Bradley A. Malin, You Chen
2019 J jnl
Database Audit Workload Prioritization via Game Theory.
ACM Trans. Priv. Secur.
Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin
2019 — conf
Deep Imputation of Temporal Data.
ICHI
Chao Yan, Cheng Gao, Xinmeng Zhang, You Chen, Bradley A. Malin
2019 J jnl
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning.
CoRR
Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik
2019 J jnl
To Warn or Not to Warn: Online Signaling in Audit Games.
CoRR
Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin
2019 — conf
XGBoost Imputation for Time Series Data.
ICHI
Xinmeng Zhang, Chao Yan, Cheng Gao, Bradley A. Malin, You Chen
2018 A* conf
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing.
ICDE
Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin
2018 J jnl
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing.
CoRR
Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin
2018 — conf
Mining the Best Observational Window to Model Social Phenomena.
CIC
Chao Yan, Zhijun Yin, Stanley Xiang, You Chen, Yevgeniy Vorobeychik, Daniel Fabbri, Abel N. Kho, David M. Liebovitz, Bradley A. Malin
2017 — conf
A Game-Theoretic Approach for Alert Prioritization.
AAAI Workshops
Aron Laszka, Yevgeniy Vorobeychik, Daniel Fabbri, Chao Yan, Bradley A. Malin
2017 Misc conf
Evaluating the Effectiveness of Auditing Rules for Electronic Health Record Systems.
AMIA
Monica Hedda, Bradley A. Malin, Chao Yan, Daniel Fabbri
2016 Misc conf
Learning Clinical Workflows to Identify Subgroups of Heart Failure Patients.
AMIA
Chao Yan, You Chen, Bo Li, David M. Liebovitz, Bradley A. Malin