Yanxun Xu

According to our database, Yanxun Xu authored at least 23 papers between 2012 and 2026.

Collaborative distances:

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

2026

Eligibility-Aware Evidence Synthesis: An Agentic Framework for Clinical Trial Meta-Analysis.

Yao Zhao, Zhiyue Zhang, Yanxun Xu

CoRR, April, 2026

2025

KM-GPT: An Automated Pipeline for Reconstructing Individual Patient Data from Kaplan-Meier Plots.

Yao Zhao, Haoyue Sun, Yantian Ding, Yanxun Xu

CoRR, September, 2025

LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing.

Yao Zhao, Yantian Ding, Zhiyue Zhang, Dapeng Yao, Yanxun Xu

CoRR, August, 2025

POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes.

Ruijia Zhang, Zhengling Qi, Yue Wu, Xiangyu Zhang, Yanxun Xu

CoRR, June, 2025

Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions.

Dapeng Yao, Fangzheng Xie, Yanxun Xu

J. Mach. Learn. Res., 2025

Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables.

Wei Jin, Yang Ni, Amanda B. Spence, Leah H. Rubin, Yanxun Xu

J. Mach. Learn. Res., 2025

TransformerLSR: Attentive joint model of longitudinal data, survival, and recurrent events with concurrent latent structure.

Zhiyue Zhang, Yao Zhao, Yanxun Xu

Artif. Intell. Medicine, 2025

2024

MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning.

Mao Hong, Zhiyue Zhang, Yue Wu, Yanxun Xu

Trans. Mach. Learn. Res., 2024

TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure.

Zhiyue Zhang, Yao Zhao, Yanxun Xu

CoRR, 2024

Model-based Reinforcement Learning for Confounded POMDPs.

Mao Hong, Zhengling Qi, Yanxun Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Policy Gradient Method for Confounded POMDPs.

Mao Hong, Zhengling Qi, Yanxun Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates.

Quan Zhang, Yanxun Xu, Mei-Cheng Wang, Mingyuan Zhou

J. Mach. Learn. Res., 2023

Continuous-Time Decision Transformer for Healthcare Applications.

Zhiyue Zhang, Hongyuan Mei, Yanxun Xu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes.

Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok

CoRR, 2022

2021

Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation.

Xiao Sun, Bahador Bahmani, Nikolaos N. Vlassis, WaiChing Sun, Yanxun Xu

CoRR, 2021

2018

TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data.

Lin Wei, Zhilin Jin, Shengjie Yang, Yanxun Xu, Yitan Zhu, Yuan Ji

Bioinform., 2018

2017

modSaRa: a computationally efficient R package for CNV identification.

Feifei Xiao, Yue Niu, Ning Hao, Yanxun Xu, Zhilin Jin, Heping Zhang

Bioinform., 2017

2016

A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves.

Yanbo Xu, Yanxun Xu, Suchi Saria

CoRR, 2016

A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series.

Yanbo Xu, Yanxun Xu, Suchi Saria

Proceedings of the 1st Machine Learning for Healthcare, 2016

2014

BM-SNP: A Bayesian Model for SNP Calling Using High Throughput Sequencing Data.

Yanxun Xu, Xiaofeng Zheng, Yuan Yuan, Marcos R. Estecio, Jean-Pierre Issa, Peng Qiu, Yuan Ji, Shoudan Liang

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

2012

Predicting the lethal phenotype of the knockout mouse by integrating comprehensive genomic data.

Yuan Yuan, Yanxun Xu, Jianfeng Xu, Robyn L. Ball, Han Liang

Bioinform., 2012

A Bayesian graphical model for integrative analysis of TCGA data.

Yanxun Xu, Jie Zhang, Yuan Yuan, Riten Mitra, Peter Müller, Yuan Ji

Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

A Bayesian model for SNP discovery based on next-generation sequencing data.

Yanxun Xu, Xiaofeng Zheng, Yuan Yuan, Marcos R. Estecio, Jean-Pierre Issa, Yuan Ji, Shoudan Liang

Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012