Wenbin Lu - RankMe

63 papers A* 12C 1Journal 41Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Efficient Causal Decision Making with One-sided Feedback. ICLR Jianing Chu, Shu Yang, Wenbin Lu, Pulak Ghosh
2025	J	`jnl`	Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death. CoRR Sihyung Park, Wenbin Lu, Shu Yang
2025	A*	`conf`	Linear Contextual Bandits With Interference. ICML Yang Xu, Wenbin Lu, Rui Song
2025	J	`jnl`	Medical Knowledge-Based Differential Image Visual Question Answering. IEEE Access Fangpeng Lu, Songyan Liu, Wenbin Lu, Peng Chen, Boyang Ding
2025	J	`jnl`	Off-Policy Evaluation Under Nonignorable Missing Data. CoRR Han Wang, Yang Xu, Wenbin Lu, Rui Song
2025	A*	`conf`	Off-Policy Evaluation under Nonignorable Missing Data. ICML Han Wang, Yang Xu, Wenbin Lu, Rui Song
2025	—	`conf`	Radio Frequency Signal Identification for Unmanned Aerial Vehicles Using Deep Learning Techniques. CNIOT Shuo Yang, Huaming Shen, Xiaobei Zhang, Zhenbin Lv, Anping Wang, Wenbin Lu
2025	J	`jnl`	Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data. CoRR Sehwan Kim, Rui Wang, Wenbin Lu
2025	J	`jnl`	Student behavior detection model based on multilevel residual networks and hybrid attention mechanisms. Neurocomputing Wenbin Lu, Songyan Liu, Boyang Ding, Peng Chen, Fangpeng Lu
2024	J	`jnl`	Linear Contextual Bandits with Interference. CoRR Yang Xu, Wenbin Lu, Rui Song
2024	—	`conf`	Research on Real-time Detection and Tracking Algorithm for Low Slow Small Targets Based on the DeepSort. CACML Yuding Xi, Sufeng Zhuang, Pengyun Wang, Yun Ling, Zhenbin Lv, Wenbin Lu
2023	J	`jnl`	Interpretable machine-learning model for real-time, clustered risk factor analysis of sepsis and septic death in critical care. Comput. Methods Programs Biomed. Zhengyu Jiang, Lulong Bo, Lei Wang, Yan Xie, Jianping Cao, Ying Yao, Wenbin Lu, Xiaoming Deng, Tao Yang, Jinjun Bian
2023	J	`jnl`	Jump Interval-Learning for Individualized Decision Making with Continuous Treatments. J. Mach. Learn. Res. Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
2023	A*	`conf`	Multiply Robust Off-policy Evaluation and Learning under Truncation by Death. ICML Jianing Chu, Shu Yang, Wenbin Lu
2023	J	`jnl`	Research and Design of Nand Flash Array From Host to Flash Translation Layer. IEEE Access Boyang Ding, Songyan Liu, Tao Lv, Yao Liu, Wenbin Lu
2022	J	`jnl`	A Probit Tensor Factorization Model For Relational Learning. J. Comput. Graph. Stat. Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao
2022	J	`jnl`	A visual identification method for the apple growth forms in the orchard. Comput. Electron. Agric. Jidong Lv, Hao Xu, Ying Han, Wenbin Lu, Liming Xu, Hailong Rong, Biao Yang, Ling Zou, Zhenghua Ma
2022	J	`jnl`	Bring the BitCODE - Moving Compute and Data in Distributed Heterogeneous Systems. CoRR Wenbin Lu, Luis E. Peña, Pavel Shamis, Valentin Churavy, Barbara M. Chapman, Steve Poole
2022	C	`conf`	Bring the BitCODE-Moving Compute and Data in Distributed Heterogeneous Systems. CLUSTER Wenbin Lu, Luis E. Peña, Pavel Shamis, Valentin Churavy, Barbara M. Chapman, Steve Poole
2022	—	`conf`	Extending OpenMP and OpenSHMEM for Efficient Heterogeneous Computing. PAW-ATM@SC Wenbin Lu, Shilei Tian, Tony Curtis, Barbara M. Chapman
2022	J	`jnl`	Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies. CoRR Runzhe Wan, Yingying Li, Wenbin Lu, Rui Song
2022	J	`jnl`	On Learning and Testing of Counterfactual Fairness through Data Preprocessing. CoRR Haoyu Chen, Wenbin Lu, Rui Song, Pulak Ghosh
2022	—	`conf`	Towards Efficient Remote OpenMP Offloading. IWOMP Wenbin Lu, Baodi Shan, Eric Raut, Jie Meng, Mauricio Araya-Polo, Johannes Doerfert, Abid Muslim Malik, Barbara M. Chapman
2022	J	`jnl`	TransModel: An R Package for Linear Transformation Model with Censored Data. J. Stat. Softw. Jie Zhou, Jiajia Zhang, Wenbin Lu
2021	J	`jnl`	A Probit Tensor Factorization Model For Relational Learning. CoRR Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao
2021	A*	`conf`	ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning. ICLR Hengrui Cai, Rui Song, Wenbin Lu
2021	J	`jnl`	CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search. CoRR Hengrui Cai, Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, Lingkang Huang
2021	A*	`conf`	Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings. NeurIPS Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
2021	J	`jnl`	Gene-set integrative analysis of multi-omics data using tensor-based association test. Bioinform. Sheng-Mao Chang, Meng Yang, Wenbin Lu, Yu-Jyun Huang, Yueyang Huang, Hung Hung, Jeffrey C. Miecznikowski, Tzu-Pin Lu, Jung-Ying Tzeng
2021	J	`jnl`	Jump Interval-Learning for Individualized Decision Making. CoRR Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
2021	A*	`conf`	Online Testing of Subgroup Treatment Effects Based on Value Difference. ICDM Miao Yu, Wenbin Lu, Rui Song
2021	—	`conf`	OpenSHMEM Active Message Extension for Task-Based Programming. OpenSHMEM Wenbin Lu, Tony Curtis, Barbara M. Chapman
2021	J	`jnl`	Testing error heterogeneity in censored linear regression. Comput. Stat. Data Anal. Caiyun Fan, Wenbin Lu, Yong Zhou
2021	—	`conf`	UCX Programming Interface for Remote Function Injection and Invocation. OpenSHMEM Luis E. Peña, Wenbin Lu, Pavel Shamis, Steve Poole
2021	J	`jnl`	UCX Programming Interface for Remote Function Injection and Invocation. CoRR Luis E. Peña, Wenbin Lu, Pavel Shamis, Steve Poole
2020	A*	`conf`	A New Framework for Online Testing of Heterogeneous Treatment Effect. AAAI Miao Yu, Wenbin Lu, Rui Song
2020	J	`jnl`	Anisotropic Constitutive Model of Intermittent Columnar Jointed Rock Masses Based on the Cosserat Theory. Symmetry Wenbin Lu, Zhende Zhu, Xiangcheng Que, Cong Zhang, Yanxin He
2020	J	`jnl`	Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis. PLoS Comput. Biol. 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
2020	J	`jnl`	Breaking the Curse of Nonregularity with Subagging - Inference of the Mean Outcome under Optimal Treatment Regimes. J. Mach. Learn. Res. Chengchun Shi, Wenbin Lu, Rui Song
2020	A*	`conf`	Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health. ICML Liangyu Zhu, Wenbin Lu, Rui Song
2020	—	`conf`	Checkpointing OpenSHMEM Programs Using Compiler Analysis. FTXS@SC Md Abdullah Shahneous Bari, Debasmita Basu, Wenbin Lu, Tony Curtis, Barbara M. Chapman
2020	J	`jnl`	Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space. CoRR Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
2020	A*	`conf`	Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. ICML Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
2020	J	`jnl`	Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. CoRR Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
2020	A*	`conf`	Kernel Assisted Learning for Personalized Dose Finding. KDD Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song
2020	J	`jnl`	Model Test Study on the Anisotropic Characteristics of Columnar Jointed Rock Mass. Symmetry Zhende Zhu, Xiangcheng Que, Zihao Niu, Wenbin Lu
2020	A*	`conf`	On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies. ICML Hengrui Cai, Wenbin Lu, Rui Song
2020	J	`jnl`	Statistical Inference for Online Decision Making via Stochastic Gradient Descent. CoRR Haoyu Chen, Wenbin Lu, Rui Song
2020	J	`jnl`	Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting. CoRR Haoyu Chen, Wenbin Lu, Rui Song
2020	J	`jnl`	Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings. CoRR Chengchun Shi, Sheng Zhang, Wenbin Lu, Rui Song
2020	—	`conf`	Toward Supporting Multi-GPU Targets via Taskloop and User-Defined Schedules. IWOMP Vivek Kale, Wenbin Lu, Anthony Curtis, Abid Muslim Malik, Barbara M. Chapman, Oscar R. Hernandez
2019	J	`jnl`	Determining the Number of Latent Factors in Statistical Multi-Relational Learning. J. Mach. Learn. Res. Chengchun Shi, Wenbin Lu, Rui Song
2019	—	`conf`	Enabling Low-Overhead Communication in Multi-threaded OpenSHMEM Applications using Contexts. PAW-ATM@SC Wenbin Lu, Tony Curtis, Barbara M. Chapman
2019	J	`jnl`	Frequency offset insensitive demodulation algorithm for satellite-based automatic identification system. Int. J. Satell. Commun. Netw. Haosu Zhou, Wenbin Lu, Zhenbin Lv, Hui Gu, Zhenfu Liu
2019	J	`jnl`	Identifying individual risk rare variants using protein structure guided local tests (POINT). PLoS Comput. Biol. 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
2019	J	`jnl`	Privacy-preserving content-based image retrieval for mobile computing. J. Inf. Secur. Appl. Yong Wang, Fei Liu, Zimao Pang, Abdelrhman Hassan, Wenbin Lu
2017	J	`jnl`	Sparse Concordance-assisted Learning for Optimal Treatment Decision. J. Mach. Learn. Res. Shuhan Liang, Wenbin Lu, Rui Song, Lan Wang
2016	J	`jnl`	Rare Variants Association Analysis in Large-Scale Sequencing Studies at the Single Locus Level. PLoS Comput. Biol. X. Jessie Jeng, Z. John Daye, Wenbin Lu, Jung-Ying Tzeng
2014	J	`jnl`	NPHMC: An R-package for estimating sample size of proportional hazards mixture cure model. Comput. Methods Programs Biomed. Chao Cai, Songfeng Wang, Wenbin Lu, Jiajia Zhang
2014	J	`jnl`	Sample size calculation for the proportional hazards model with a time-dependent covariate. Comput. Stat. Data Anal. Songfeng Wang, Jiajia Zhang, Wenbin Lu
2013	J	`jnl`	Partially linear single index Cox regression model in nested case-control studies. Comput. Stat. Data Anal. Shulian Shang, Mengling Liu, Anne Zeleniuch-Jacquotte, Tess V. Clendenen, Vittorio Krogh, Goran Hallmans, Wenbin Lu
2012	J	`jnl`	Variance estimation in censored quantile regression via induced smoothing. Comput. Stat. Data Anal. Lei Pang, Wenbin Lu, Huixia Judy Wang
2010	J	`jnl`	On sparse estimation for semiparametric linear transformation models. J. Multivar. Anal. Hao Helen Zhang, Wenbin Lu, Hansheng Wang