Zhen Xu

11 papers A* 4Journal 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Deep State-Space Generative Model For Correlated Time-to-Event Predictions. CoRR Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui
2021	J	`jnl`	BEDS-Bench: Behavior of EHR-models under Distributional Shift-A Benchmark. CoRR Anand Avati, Martin Seneviratne, Emily Xue, Zhen Xu, Balaji Lakshminarayanan, Andrew M. Dai
2021	A*	`conf`	MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. AAAI Zhen Xu, David R. So, Andrew M. Dai
2021	J	`jnl`	MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. CoRR Zhen Xu, David R. So, Andrew M. Dai
2020	A*	`conf`	Deep State-Space Generative Model For Correlated Time-to-Event Predictions. KDD Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui
2020	A*	`conf`	Flow Contrastive Estimation of Energy-Based Models. CVPR Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu
2020	A*	`conf`	Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer. AAAI Edward Choi, Zhen Xu, Yujia Li, Michael Dusenberry, Gerardo Flores, Emily Xue, Andrew M. Dai
2019	J	`jnl`	Deep Physiological State Space Model for Clinical Forecasting. CoRR Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui
2019	J	`jnl`	Flow Contrastive Estimation of Energy-Based Models. CoRR Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu
2019	J	`jnl`	Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records. CoRR Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai
2019	J	`jnl`	Learning an Adaptive Learning Rate Schedule. CoRR Zhen Xu, Andrew M. Dai, Jonas Kemp, Luke Metz