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Jingbo Yang
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Moco pretraining improves representation and transferability of chest x-ray models
H Sowrirajan, J Yang, AY Ng, P Rajpurkar
Medical Imaging with Deep Learning, 728-744, 2021
1772021
Evaluation of a machine learning model based on pretreatment symptoms and electroencephalographic features to predict outcomes of antidepressant treatment in adults with …
P Rajpurkar, J Yang, N Dass, V Vale, AS Keller, J Irvin, Z Taylor, S Basu, ...
JAMA network open 3 (6), e206653-e206653, 2020
542020
Differentially-private deep learning from an optimization perspective
L Xiang, J Yang, B Li
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 559-567, 2019
422019
Driver2vec: Driver Identification from Automotive Data
JL Jingbo Yang, Ruge Zhao, Meixian Zhu, David Hallac, Jaka Sodnik
6th Workshop on Mining and Learning from Time Series, 2020
15*2020
MoCo-CXR: MoCo pretraining improves representation and transferability of chest X-ray models, 2021
H Sowrirajan, J Yang, AY Ng, P Rajpurkar
URL https://arxiv. org/abs, 2010
62010
Cs 224n project: Cloze answer generator
J Zhou, J Xu, JB Yang
Department of Computer Science, Stanford University, 2019
12019
Redefining Neighbor for Improved Knowledge Graph Based Recommendations
R Zhao, M Zhu, JB Yang
Interactions 84 (3,034,796), 1,185,068, 0
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