Tingyi Wanyan

Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions

Riccardo Miotto, Tingyi Wanyan, Martin Kang, 2020, AIME.

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

Riccardo Miotto, Tingyi Wanyan, Kipp W. Johnson, 2020, medRxiv.

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN pdf

Tingyi Wanyan, Ariful Azad, Ying Ding, 2020, ArXiv.

Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure pdf

Tingyi Wanyan, Ying Ding, Abhik Seal, 2020, iConference.

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients

Marinka Zitnik, Riccardo Miotto, Tingyi Wanyan, 2021, Patterns.

Addressing supply chain risks of microelectronic devices through computer vision

Tingyi Wanyan, David J. Crandall, Zhenhua Chen, 2017, 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records pdf

Tingyi Wanyan, Ariful Azad, Ying Ding, 2020, Data Intelligence.

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit

Riccardo Miotto, Tingyi Wanyan, Akhil Vaid, 2021, IEEE Transactions on Big Data.

Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data pdf

Tingyi Wanyan, Zhangyang Wang, Ariful Azad, 2021, ArXiv.