| 2025 | GLOBECOM | An Energy-Efficient Sleep-Mode Strategy for Multi-RIS Aided Cell-Free Massive MIMO. | Hongyi Luo, Wenyu Song, Daniel K. C. So |
| 2023 | ICDM | Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder. | Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang |
| 2022 | AMIA | Development and Validation of an Extraction Tool for Identifying Signs and Symptoms of Venous Thromboembolism in Primary Care Clinical Notes. | John Laurentiev, Avery Pullman, Wenyu Song, Ania Syrowatka, Michael Sainlaire, Frank Yu Chang, Luwei Liu, Li Zhou, Patricia C. Dykes |
| 2022 | AMIA | Genome-wide Association Study of Codeine Prescriptions: An EHR-driven Genomic Study. | Wenyu Song, Hailiang Huang, Kenneth Mukamal, Adam Wright, David W. Bates |
| 2022 | AMIA | Using EHR Data and Machine Learning Methods to Predict Fall Injury. | Wenyu Song, Luwei Liu, Hannah Rice, Michael Sainlaire, Lillian Min, Linying Zhang, Tien Thai, Min-Jeoung Kang, Mica Curtin-Bowen, Stuart R. Lipsitz, Lipika Samal, Nancy K. Latham, Patricia C. Dykes |
| 2022 | AMIA | Leveraging Big Data and NLP to Understand Patient Care Trajectories and Delayed Diagnosis of Venous Thromboembolism in Primary Care. | Ania Syrowatka, Lipika Samal, John Laurentiev, Luwei Liu, Azza Omer, Wenyu Song, Michael Sainlaire, Frank Yu Chang, Tien Thai, Li Zhou, David W. Bates, Patricia C. Dykes |
| 2021 | AMIA | Predicting Hospitalization of COVID-19 Positive Patients Using Machine Learning Methods. | Wenyu Song, Linying Zhang, Michael Sainlaire, Mehran Karvar, Min-Jeoung Kang, Avery Pullman, Anthony F. Massaro, Namrata Patil, Ravi Jasuja, Patricia C. Dykes |
| 2021 | ICIG | Facial Action Unit Detection Based on Transformer and Attention Mechanism. | Wenyu Song, Shuze Shi, Gaoyun An |
| 2021 | NAACL | RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion. | Youri Xu, Haihong E, Meina Song, Wenyu Song, Xiaodong Lv, Haotian Wang, Jinrui Yang |
| 2020 | AMIA | Using Natural Language Processing and Machine Learning to Identify Hospitalized Patients with Opioid Use Disorder. | Suzanne V. Blackley, Erin MacPhaul, Bianca Martin, Wenyu Song, Joji Suzuki, Li Zhou |
| 2020 | AMIA | Standardizing Opioid Prescriptions across Systems: Challenges, Strengths, and Opportunities. | Tina Hernandez-Boussard, Juan Antonio Lossio-Ventura, Ania Syrowatka, Wenyu Song, Patricia C. Dykes |
| 2020 | AMIA | Predicting Pressure Injury Using Nursing Assessment Phenotype and Machine Learning Methods. | Wenyu Song, Min-Jeoung Kang, Linying Zhang, Jose P. Garcia, David W. Bates, Patricia C. Dykes |
| 2020 | AMIA | Re-tooling an Existing Clinical Quality Measure for Chronic Opioid Use to an Electronic Clinical Quality Measure (eCQM) for Post-Operative Opioid Prescribing: Development and Testing of Draft Specifications. | Ania Syrowatka, Avery Pullman, Woongki Kim, Stuart R. Lipsitz, Michael Sainlaire, Wenyu Song, Tien Thai, David W. Bates, Patricia C. Dykes |
| 2019 | AMIA | Personalized treatment for type 2 diabetes using weighted k-nearest neighbors. | Wenyu Song, Linying Zhang, Emily Gill, Jeremiah Zhe Liu, Adam Wright |