Jingyuan Chou

According to our database, Jingyuan Chou authored at least 7 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks.

Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang

J. Biomed. Informatics, 2020

TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning.

Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Global Interpretation for Patient Similarity Learning.

Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets.

Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks.

Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang

CoRR, 2019

2018

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based GraphConvolutional Network.

Xi Zhang, Jingyuan Chou, Fei Wang

CoRR, 2018

Integrative Analysis of Patient Health Records and Neuroimages via Memory-Based Graph Convolutional Network.

Xi Zhang, Jingyuan Chou, Fei Wang

Proceedings of the IEEE International Conference on Data Mining, 2018