Zhen Xu

Learning Graphical Structure of Electronic Health Records with Transformer for Predictive Healthcare

Michael W. Dusenberry, Andrew M. Dai, Yujia Li, 2019 .

Flow Contrastive Estimation of Energy-Based Models

Andrew M. Dai, Diederik P. Kingma, Y. Wu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records pdf

Edward Choi, Zhen Xu, Yujia Li, 2019, ArXiv.

MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records

Andrew M. Dai, David R. So, Zhen Xu, 2021, AAAI.

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

Michael W. Dusenberry, Andrew M. Dai, Yujia Li, 2019, AAAI.

BEDS-Bench: Behavior of EHR-models under Distributional Shift-A Benchmark pdf

Andrew M. Dai, Anand Avati, Balaji Lakshminarayanan, 2021, ArXiv.

Learning an Adaptive Learning Rate Schedule pdf

Zhen Xu, Andrew M. Dai, Luke Metz, 2019, ArXiv.

Deep State-Space Generative Model For Correlated Time-to-Event Predictions

Andrew M. Dai, Denny Zhou, Nan Du, 2020, KDD.

Deep Physiological State Space Model for Clinical Forecasting pdf

Yuan Xue, Andrew M. Dai, Kun Zhang, 2019, ArXiv.