Publications

Tianlong Wang, Yinghao Zhu, Zixiang Wang, Wen Tang, Xinju Zhao, Tao Wang, Yasha Wang, Junyi Gao+, Liantao Ma+, Ling Wang+ (2024). Protocol to Process Follow-up Electronic Medical Records of Peritoneal Dialysis Patients to Train AI Models. Cell Protocol.

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Zixiang Wang, Yinghao Zhu, Junyi Gao, Xiaochen Zheng, Yuhui Zeng, Yifan He, Bowen Jiang, Wen Tang, Ewen M. Harrison, Chengwei Pan, Liantao Ma, Ling Wang (2024). RetCare: Towards Interpretable Clinical Decision Making through LLM-Driven Medical Knowledge Retrieval. KDD'24-AIDSH. [Workshop]

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Hao Wu*, Yinghao Zhu*, Zixiang Wang, Xiaochen Zheng, Ling Wang, Wen Tang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Junyi Gao+, Liantao Ma+ (2024). EHRFlow: A Large Language Model-Driven Iterative Multi-Agent Electronic Health Record Data Analysis Workflow. KDD'24-AIDSH. [Workshop, Oral]

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Yuhang Wang, Yinghao Zhu, Lifang Liang, Yasha Wang, Ewen M. Harrison, Liantao Ma, Junyi Gao+ (2024). DeepEST: A Python Libary for Spatio-Temporal Epidemiology Prediction. KDD'24-AIDSH. [Workshop]

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Shenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang (2024). Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. KDD. [Workshop proposal]

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Junyi Gao*, Yinghao Zhu*, Wenqing Wang*, Zixiang Wang, Guiying Dong, Wen Tang, Hao Wang, Yasha Wang, Ewen M. Harrison, Liantao Ma (2024). A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care. Patterns.

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Liantao Ma*, Chaohe Zhang*, Junyi Gao*+, Xianfeng Jiao, Zhihao Yu, Yinghao Zhu, Tianlong Wang, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, and Tao Wang (2023). Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients. Patterns. [Cover Paper]

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Chaoqi Yang, Junyi Gao, Lucas Glass, Adam Cross, Jimeng Sun (2023). Multi-Faceted Analysis and Prediction for the Outbreak of Pediatric Respiratory Syncytial Virus. JAMIA.

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Junyi Gao, Joerg Heintz, Christina Mack, Lucas Glass, Adam Cross, Jimeng Sun (2023). Evidence-Driven Spatio-Temporal COVID-19 Hospitalization Prediction with Ising Dynamics. Nature Communications.

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Junyi Gao, Yinghao Zhu, Wenqing Wang, Yasha Wang, Wen Tang, Liantao Ma (2023). A Comprehensive Benchmark For COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care. AMIA. [Abstract, Oral]

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Chaoqi Yang*, Zhenbang Wu*, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin Danek, Jimeng Sun (2023). PyHealth: A Deep Learning Toolkit For Healthcare Applications. KDD. [Tutorial]

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Estee Y. Cramer, et al. [US COVID-19 Forecast Hub Consortium, including Junyi Gao] (2022). The United States COVID-19 Forecast Hub dataset. Nature Scientific Data.

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Junyi Gao, Chaoqi Yang, George Heintz, Scott Barrows, Elise Albers, Mary Stapel, Sara Warfield, Adam Cross, Jimeng Sun (2022). MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction. Cell iScience.

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Junyi Gao, Cao Xiao, Lucas Glass, Jimeng Sun (2022). PopNet: Real-Time Population-Level Disease Prediction with Data Latency. WWW.

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Junyi Gao, Rakshith Sharma, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao (2021). STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence. JAMIA.

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Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang (2021). CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis. WWW. [Oral]

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Cao Xiao, Junyi Gao, Lucas M. Glass, Jimeng Sun, Christina Mack (2020). Two Machines Are Better Than One: Using Multi-Agent Reinforcement in Machine Learning to Simulate A Clinical Second Opinion. Pharmacoepidemiology and Drug Safety. [Abstract]

Junyi Gao, Cao Xiao, Lucas Glass, Jimeng Sun (2020). Dr. Agent: Clinical Predictive Model via Mimicked Second Opinions. JAMIA.

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Junyi Gao, Cao Xiao, Lucas Glass, Jimeng Sun (2020). COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. KDD. [Oral]

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Cao Xiao, Junyi Gao, Lucas Glass, Jimeng Sun (2020). Patient trial matching using pseudo-siamese network. JCO. [Abstract]

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Junyi Gao, Cao Xiao, Yasha Wang, Lucas Glass, Wen Tang, Jimeng Sun (2020). StageNet: Stage-Aware Neural Networks for Health Risk Prediction. WWW. [Oral]

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Liantao Ma, Chaohe Zhang, Yashang Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao (2020). ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. AAAI.

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Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao and Xinyu Ma (2020). AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. AAAI. [Oral]

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Parsons J. J. , Translated by: Yunxiang Lu, Junyi Gao, Xiaoliang Huo, Yuren Zhang (2019). New Perspectives on Computer Concepts 2018: Comprehensive, 20th. China Machine Press.

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Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie (2019). CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare. ICDM. [Oral]

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Junyi Gao*, Weihao Tan*, Liantao Ma, Yasha Wang and Wen Tang (2019). MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones. IEEE UIC. [Oral]

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Wen Tang, Junyi Gao, Xinyu Ma, Chaohe Zhang, Liantao Ma, Yasha Wang (2019). Applications of Recurrent Neural Network in Clinical Prognosis Prediction of Peritoneal Dialysis. Journal of Peking University, Health sciences.

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Brookshear J. G. , Translated by: Yunxiang Lu, Junyi Gao, Zhujun Zhang (2019). Computer science: an overview, 12th. People Post Press.

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Zhengtong Shi, Junyi Gao, Liantao Ma, Yasha Wang, Jiangtao Wang, Wen Tang (2018). Multi-sensor integrated food volume measurement based on smartphone. PCC. [Oral]

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