Jingwen Zhang
Jingwen Zhang
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I'm a fifth-year Ph.D. student in the Department of Computer Science and Engineering at WashU, under the supervision of Prof. Chenyang Lu. My research focuses on application of machine learning for healthcare, and Internet of Mobile Things.
Selected Publications
Selected Publications
Clinical Outcome Prediction with Fitbit Wristbands
Clinical Outcome Prediction with Fitbit Wristbands
Predicting Multi-dimensional Surgical Outcomes with Multi-modal Mobile Sensing: A Case Study with Patients Undergoing Lumbar Spine Surgery
Ziqi Xu, Jingwen Zhang, Jacob Greenberg, Madelyn Frumkin, Saad Javeed, Justin K Zhang, Braeden Benedict, Kathleen Botterbush, Thomas L Rodebaugh, Wilson Z Ray, Chenyang Lu
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2024. [link]
Predicting Post-Operative Complications with Wearables: A Case Study with Patients Undergoing Pancreatic Surgery
Jingwen Zhang, Dingwen Li, Ruixuan Dai, Heidy Cos, Gregory A Williams, Lacey Raper, Chet W Hammill, Chenyang Lu
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2022. [link]
[Distinguished Paper Awards, top 4%]
[Distinguished Paper Awards, top 4%]
Multi-Task Learning for Randomized Controlled Trials: A Case Study on Prediction Depression with Wearable Data
Ruixuan Dai, Thomas Kannampallil, Jingwen Zhang, Nan Lv, Jun Ma, Chenyang Lu
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2022. [link]
Contact Tracing with Bluetooth Low Energy Beacons
Contact Tracing with Bluetooth Low Energy Beacons
Contact Tracing for Healthcare Workers in an Intensive Care Unit
Jingwen Zhang, Ruixuan Dai, Ashraf Rjob, Ruiqi Wang, Reshad Hamauon, Jeffrey Candell, Thomas Bailey, Victoria J Fraser, Maria Cristina Vazquez Guillamet, Chenyang Lu
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2023. [link]
Experience
Experience
Meta. Software Engineer Intern, Transfer Learning and Imbalanced Dataset, Summer 2023.
Meta. Software Engineer Intern, Multitask Learning, Summer 2023.
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