Yuan Xue

发表

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

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

Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction

Martin G. Seneviratne, A. Mottram, Nan Du, 2020 .

Predicting Inpatient Medication Orders From Electronic Health Record Data

Andrew M. Dai, Laura M. Vardoulakis, M. Howell, 2020, Clinical pharmacology and therapeutics.

Learning to Optimize with Stochastic Dominance Constraints

D. Schuurmans, Bo Dai, H. Dai, 2022, ArXiv.

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

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

Learning to Optimize with Stochastic Dominance Constraints

D. Schuurmans, Bo Dai, H. Dai, 2022, AISTATS.

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

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

Learning to Select Best Forecast Tasks for Clinical Outcome Prediction

Andrew M. Dai, Yuan Xue, Nan Du, 2020, NeurIPS.

Neural Stochastic Dual Dynamic Programming pdf

Dale Schuurmans, Hanjun Dai, Yuan Xue, 2021, ICLR.

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing

Subhrajit Roy, Martin Seneviratne, Nenad Tomasev, 2021, J. Am. Medical Informatics Assoc..

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.

Graph learning-based generation of abstractions for reinforcement learning

D. Kudenko, Yuan Xue, Megha Khosla, 2023, Neural Computing and Applications.

Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach

Yuan Xue, Zhi Wang, Yifei Zhu, 2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.