A Bayesian model for SNP discovery based on next-generation sequencing data. - Yanxun Xu; Xiaofeng Zheng; Yuan Yuan 003; Marcos R. Estecio; Jean-Pierre Issa; Yuan Ji; Shoudan Liang (GENSiPS, 2012)

A Bayesian graphical model for integrative analysis of TCGA data. - Yanxun Xu; Jie Zhang 053; Yuan Yuan 003; Riten Mitra; Peter Müller 003; Yuan Ji (GENSiPS, 2012)

Predicting the lethal phenotype of the knockout mouse by integrating comprehensive genomic data. - Yuan Yuan 003; Yanxun Xu; Jianfeng Xu; Robyn L. Ball; Han Liang (Bioinform., 2012)

BM-SNP: A Bayesian Model for SNP Calling Using High Throughput Sequencing Data. - Yanxun Xu; Xiaofeng Zheng; Yuan Yuan 003; Marcos R. Estecio; Jean-Pierre Issa; Peng Qiu; Yuan Ji; Shoudan Liang (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series. - Yanbo Xu; Yanxun Xu; Suchi Saria (MLHC, 2016)

A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves. - Yanbo Xu; Yanxun Xu; Suchi Saria (CoRR, 2016)

modSaRa: a computationally efficient R package for CNV identification. - Feifei Xiao; Yue Niu; Ning Hao; Yanxun Xu; Zhilin Jin; Heping Zhang (Bioinform., 2017)

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)

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)

Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes. - Zuyue Fu; Zhengling Qi; Zhaoran Wang 001; Zhuoran Yang; Yanxun Xu; Michael R. Kosorok (CoRR, 2022)

Continuous-Time Decision Transformer for Healthcare Applications. - Zhiyue Zhang; Hongyuan Mei; Yanxun Xu (AISTATS, 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)

A Policy Gradient Method for Confounded POMDPs. - Mao Hong; Zhengling Qi; Yanxun Xu (ICLR, 2024)

Model-based Reinforcement Learning for Confounded POMDPs. - Mao Hong; Zhengling Qi; Yanxun Xu (ICML, 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 (Artif. Intell. Medicine, 2025)

POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes. - Ruijia Zhang; Zhengling Qi; Yue Wu; Xiangyu Zhang; Yanxun Xu (CoRR, 2025)

LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing. - Yao Zhao; Yantian Ding; Zhiyue Zhang; Dapeng Yao; Yanxun Xu (CoRR, 2025)