Wenbin Lu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 48

Top Topics

Statistical Inference

Decision Making

Tensor Factorization

Policy Evaluation

Top Venues

J. Mach. Learn. Res.

PLoS Comput. Biol.

Publications

Yuding Xi, Sufeng Zhuang, Pengyun Wang, Yun Ling, Zhenbin Lv, Wenbin Lu
Research on Real-time Detection and Tracking Algorithm for Low Slow Small Targets Based on the DeepSort. CACML (2024)
Boyang Ding, Songyan Liu, Tao Lv, Yao Liu, Wenbin Lu
Research and Design of Nand Flash Array From Host to Flash Translation Layer. IEEE Access 11 (2023)
Zhengyu Jiang, Lulong Bo, Lei Wang, Yan Xie, Jianping Cao, Ying Yao, Wenbin Lu, Xiaoming Deng, Tao Yang, Jinjun Bian
Interpretable machine-learning model for real-time, clustered risk factor analysis of sepsis and septic death in critical care. Comput. Methods Programs Biomed. 241 (2023)
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments. J. Mach. Learn. Res. 24 (2023)
Jianing Chu, Shu Yang, Wenbin Lu
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death. ICML (2023)
Wenbin Lu, Shilei Tian, Tony Curtis, Barbara M. Chapman
Extending OpenMP and OpenSHMEM for Efficient Heterogeneous Computing. PAW-ATM@SC (2022)
Jie Zhou, Jiajia Zhang, Wenbin Lu
TransModel: An R Package for Linear Transformation Model with Censored Data. J. Stat. Softw. 101 (9) (2022)
Wenbin Lu, Baodi Shan, Eric Raut, Jie Meng, Mauricio Araya-Polo, Johannes Doerfert, Abid Muslim Malik, Barbara M. Chapman
Towards Efficient Remote OpenMP Offloading. IWOMP (2022)
Wenbin Lu, Luis E. Peña, Pavel Shamis, Valentin Churavy, Barbara M. Chapman, Steve Poole
Bring the BitCODE-Moving Compute and Data in Distributed Heterogeneous Systems. CLUSTER (2022)
Wenbin Lu, Luis E. Peña, Pavel Shamis, Valentin Churavy, Barbara M. Chapman, Steve Poole
Bring the BitCODE - Moving Compute and Data in Distributed Heterogeneous Systems. CoRR (2022)
Runzhe Wan, Yingying Li, Wenbin Lu, Rui Song
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies. CoRR (2022)
Jidong Lv, Hao Xu, Ying Han, Wenbin Lu, Liming Xu, Hailong Rong, Biao Yang, Ling Zou, Zhenghua Ma
A visual identification method for the apple growth forms in the orchard. Comput. Electron. Agric. 197 (2022)
Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao
A Probit Tensor Factorization Model For Relational Learning. J. Comput. Graph. Stat. 31 (3) (2022)
Haoyu Chen, Wenbin Lu, Rui Song, Pulak Ghosh
On Learning and Testing of Counterfactual Fairness through Data Preprocessing. CoRR (2022)
Miao Yu, Wenbin Lu, Rui Song
Online Testing of Subgroup Treatment Effects Based on Value Difference. ICDM (2021)
Hengrui Cai, Rui Song, Wenbin Lu
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning. ICLR (2021)
Luis E. Peña, Wenbin Lu, Pavel Shamis, Steve Poole
UCX Programming Interface for Remote Function Injection and Invocation. OpenSHMEM (2021)
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings. NeurIPS (2021)
Hengrui Cai, Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, Lingkang Huang
CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search. CoRR (2021)
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Jump Interval-Learning for Individualized Decision Making. CoRR (2021)
Caiyun Fan, Wenbin Lu, Yong Zhou
Testing error heterogeneity in censored linear regression. Comput. Stat. Data Anal. 161 (2021)
Wenbin Lu, Tony Curtis, Barbara M. Chapman
OpenSHMEM Active Message Extension for Task-Based Programming. OpenSHMEM (2021)
Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao
A Probit Tensor Factorization Model For Relational Learning. CoRR (2021)
Sheng-Mao Chang, Meng Yang, Wenbin Lu, Yu-Jyun Huang, Yueyang Huang, Hung Hung, Jeffrey C. Miecznikowski, Tzu-Pin Lu, Jung-Ying Tzeng
Gene-set integrative analysis of multi-omics data using tensor-based association test. Bioinform. 37 (16) (2021)
Luis E. Peña, Wenbin Lu, Pavel Shamis, Steve Poole
UCX Programming Interface for Remote Function Injection and Invocation. CoRR (2021)
Zhende Zhu, Xiangcheng Que, Zihao Niu, Wenbin Lu
Model Test Study on the Anisotropic Characteristics of Columnar Jointed Rock Mass. Symmetry 12 (9) (2020)
Haoyu Chen, Wenbin Lu, Rui Song
Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting. CoRR (2020)
Hengrui Cai, Wenbin Lu, Rui Song
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies. ICML (2020)
Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song
Kernel Assisted Learning for Personalized Dose Finding. KDD (2020)
Chengchun Shi, Wenbin Lu, Rui Song
Breaking the Curse of Nonregularity with Subagging - Inference of the Mean Outcome under Optimal Treatment Regimes. J. Mach. Learn. Res. 21 (2020)
Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. CoRR (2020)
Haoyu Chen, Wenbin Lu, Rui Song
Statistical Inference for Online Decision Making via Stochastic Gradient Descent. CoRR (2020)
Vivek Kale, Wenbin Lu, Anthony Curtis, Abid Muslim Malik, Barbara M. Chapman, Oscar R. Hernandez
Toward Supporting Multi-GPU Targets via Taskloop and User-Defined Schedules. IWOMP (2020)
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space. CoRR (2020)
Liangyu Zhu, Wenbin Lu, Rui Song
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health. ICML (2020)
Chengchun Shi, Sheng Zhang, Wenbin Lu, Rui Song
Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings. CoRR (2020)
Amanda Brucker, Wenbin Lu, Rachel Marceau West, Qi-You Yu, Chuhsing Kate Hsiao, Tzu-Hung Hsiao, Ching-Heng Lin, Patrik K. E. Magnusson, Patrick F. Sullivan, Jin P. Szatkiewicz, Tzu-Pin Lu, Jung-Ying Tzeng
Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis. PLoS Comput. Biol. 16 (5) (2020)
Wenbin Lu, Zhende Zhu, Xiangcheng Que, Cong Zhang, Yanxin He
Anisotropic Constitutive Model of Intermittent Columnar Jointed Rock Masses Based on the Cosserat Theory. Symmetry 12 (5) (2020)
Miao Yu, Wenbin Lu, Rui Song
A New Framework for Online Testing of Heterogeneous Treatment Effect. AAAI (2020)
Md Abdullah Shahneous Bari, Debasmita Basu, Wenbin Lu, Tony Curtis, Barbara M. Chapman
Checkpointing OpenSHMEM Programs Using Compiler Analysis. FTXS@SC (2020)
Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. ICML (2020)
Chengchun Shi, Wenbin Lu, Rui Song
Determining the Number of Latent Factors in Statistical Multi-Relational Learning. J. Mach. Learn. Res. 20 (2019)
Wenbin Lu, Tony Curtis, Barbara M. Chapman
Enabling Low-Overhead Communication in Multi-threaded OpenSHMEM Applications using Contexts. PAW-ATM@SC (2019)
Haosu Zhou, Wenbin Lu, Zhenbin Lv, Hui Gu, Zhenfu Liu
Frequency offset insensitive demodulation algorithm for satellite-based automatic identification system. Int. J. Satell. Commun. Netw. 37 (3) (2019)
Yong Wang, Fei Liu, Zimao Pang, Abdelrhman Hassan, Wenbin Lu
Privacy-preserving content-based image retrieval for mobile computing. J. Inf. Secur. Appl. 49 (2019)
Rachel Marceau West, Wenbin Lu, Daniel M. Rotroff, Mélaine A. Kuenemann, Sheng-Mao Chang, Michael C. Wu, Michael J. Wagner, John B. Buse, Alison A. Motsinger-Reif, Denis Fourches, Jung-Ying Tzeng
Identifying individual risk rare variants using protein structure guided local tests (POINT). PLoS Comput. Biol. 15 (2) (2019)
Shuhan Liang, Wenbin Lu, Rui Song, Lan Wang
Sparse Concordance-assisted Learning for Optimal Treatment Decision. J. Mach. Learn. Res. 18 (2017)
X. Jessie Jeng, Z. John Daye, Wenbin Lu, Jung-Ying Tzeng
Rare Variants Association Analysis in Large-Scale Sequencing Studies at the Single Locus Level. PLoS Comput. Biol. 12 (6) (2016)
Songfeng Wang, Jiajia Zhang, Wenbin Lu
Sample size calculation for the proportional hazards model with a time-dependent covariate. Comput. Stat. Data Anal. 74 (2014)
Chao Cai, Songfeng Wang, Wenbin Lu, Jiajia Zhang
NPHMC: An R-package for estimating sample size of proportional hazards mixture cure model. Comput. Methods Programs Biomed. 113 (1) (2014)
Shulian Shang, Mengling Liu, Anne Zeleniuch-Jacquotte, Tess V. Clendenen, Vittorio Krogh, Goran Hallmans, Wenbin Lu
Partially linear single index Cox regression model in nested case-control studies. Comput. Stat. Data Anal. 67 (2013)
Lei Pang, Wenbin Lu, Huixia Judy Wang
Variance estimation in censored quantile regression via induced smoothing. Comput. Stat. Data Anal. 56 (4) (2012)
Hao Helen Zhang, Wenbin Lu, Hansheng Wang
On sparse estimation for semiparametric linear transformation models. J. Multivar. Anal. 101 (7) (2010)