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2020 – today
- 2024
[c18]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: 135-142- 2023
- [j23]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: 70071-70083 (2023) - [j22]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: 107772 (2023) - [j21]Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu:
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments. J. Mach. Learn. Res. 24: 140:1-140:92 (2023) - [c17]Jianing Chu, Shu Yang, Wenbin Lu:
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death. ICML 2023: 6195-6227 - 2022
- [j20]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: 106954 (2022) - [j19]Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao:
A Probit Tensor Factorization Model For Relational Learning. J. Comput. Graph. Stat. 31(3): 846-855 (2022) - [j18]Jie Zhou, Jiajia Zhang, Wenbin Lu:
TransModel: An R Package for Linear Transformation Model with Censored Data. J. Stat. Softw. 101(9) (2022) - [c16]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: 12-22 - [c15]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: 17-31 - [c14]Wenbin Lu, Shilei Tian, Tony Curtis, Barbara M. Chapman:
Extending OpenMP and OpenSHMEM for Efficient Heterogeneous Computing. PAW-ATM@SC 2022: 1-12 - [i12]Haoyu Chen, Wenbin Lu, Rui Song, Pulak Ghosh:
On Learning and Testing of Counterfactual Fairness through Data Preprocessing. CoRR abs/2202.12440 (2022) - [i11]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 abs/2208.01154 (2022) - [i10]Runzhe Wan, Yingying Li, Wenbin Lu, Rui Song:
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies. CoRR abs/2212.12845 (2022) - 2021
- [j17]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): 2259-2265 (2021) - [j16]Caiyun Fan, Wenbin Lu, Yong Zhou:
Testing error heterogeneity in censored linear regression. Comput. Stat. Data Anal. 161: 107207 (2021) - [c13]Miao Yu, Wenbin Lu, Rui Song:
Online Testing of Subgroup Treatment Effects Based on Value Difference. ICDM 2021: 1463-1468 - [c12]Hengrui Cai, Rui Song, Wenbin Lu:
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning. ICLR 2021 - [c11]Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu:
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings. NeurIPS 2021: 15285-15300 - [c10]Wenbin Lu, Tony Curtis, Barbara M. Chapman:
OpenSHMEM Active Message Extension for Task-Based Programming. OpenSHMEM 2021: 129-143 - [c9]Luis E. Peña, Wenbin Lu, Pavel Shamis, Steve Poole:
UCX Programming Interface for Remote Function Injection and Invocation. OpenSHMEM 2021: 144-159 - [i9]Hengrui Cai, Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, Lingkang Huang:
CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search. CoRR abs/2110.05636 (2021) - [i8]Luis E. Peña, Wenbin Lu, Pavel Shamis, Steve Poole:
UCX Programming Interface for Remote Function Injection and Invocation. CoRR abs/2110.06292 (2021) - [i7]Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao:
A Probit Tensor Factorization Model For Relational Learning. CoRR abs/2111.03943 (2021) - [i6]Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu:
Jump Interval-Learning for Individualized Decision Making. CoRR abs/2111.08885 (2021) - 2020
- [j15]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: 176:1-176:67 (2020) - [j14]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) - [j13]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): 823 (2020) - [j12]Zhende Zhu, Xiangcheng Que, Zihao Niu, Wenbin Lu:
Model Test Study on the Anisotropic Characteristics of Columnar Jointed Rock Mass. Symmetry 12(9): 1528 (2020) - [c8]Miao Yu, Wenbin Lu, Rui Song:
A New Framework for Online Testing of Heterogeneous Treatment Effect. AAAI 2020: 10310-10317 - [c7]Hengrui Cai, Wenbin Lu, Rui Song:
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies. ICML 2020: 1262-1270 - [c6]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: 8807-8817 - [c5]Liangyu Zhu, Wenbin Lu, Rui Song:
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health. ICML 2020: 11588-11598 - [c4]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: 295-309 - [c3]Liangyu Zhu, Wenbin Lu, Michael R. Kosorok, Rui Song:
Kernel Assisted Learning for Personalized Dose Finding. KDD 2020: 56-65 - [c2]Md Abdullah Shahneous Bari, Debasmita Basu, Wenbin Lu, Tony Curtis, Barbara M. Chapman:
Checkpointing OpenSHMEM Programs Using Compiler Analysis. FTXS@SC 2020: 51-60 - [i5]Chengchun Shi, Sheng Zhang, Wenbin Lu, Rui Song:
Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings. CoRR abs/2001.04515 (2020) - [i4]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 abs/2002.01751 (2020) - [i3]Haoyu Chen, Wenbin Lu, Rui Song:
Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting. CoRR abs/2010.07283 (2020) - [i2]Haoyu Chen, Wenbin Lu, Rui Song:
Statistical Inference for Online Decision Making via Stochastic Gradient Descent. CoRR abs/2010.07341 (2020) - [i1]Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu:
Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space. CoRR abs/2010.15963 (2020)
2010 – 2019
- 2019
- [j11]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): 213-223 (2019) - [j10]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) - [j9]Chengchun Shi, Wenbin Lu, Rui Song:
Determining the Number of Latent Factors in Statistical Multi-Relational Learning. J. Mach. Learn. Res. 20: 23:1-23:38 (2019) - [j8]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) - [c1]Wenbin Lu, Tony Curtis, Barbara M. Chapman:
Enabling Low-Overhead Communication in Multi-threaded OpenSHMEM Applications using Contexts. PAW-ATM@SC 2019: 47-57 - 2017
- [j7]Shuhan Liang, Wenbin Lu, Rui Song, Lan Wang:
Sparse Concordance-assisted Learning for Optimal Treatment Decision. J. Mach. Learn. Res. 18: 202:1-202:26 (2017) - 2016
- [j6]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) - 2014
- [j5]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): 290-300 (2014) - [j4]Songfeng Wang, Jiajia Zhang, Wenbin Lu:
Sample size calculation for the proportional hazards model with a time-dependent covariate. Comput. Stat. Data Anal. 74: 217-227 (2014) - 2013
- [j3]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: 199-212 (2013) - 2012
- [j2]Lei Pang, Wenbin Lu, Huixia Judy Wang:
Variance estimation in censored quantile regression via induced smoothing. Comput. Stat. Data Anal. 56(4): 785-796 (2012) - 2010
- [j1]Hao Helen Zhang, Wenbin Lu, Hansheng Wang:
On sparse estimation for semiparametric linear transformation models. J. Multivar. Anal. 101(7): 1594-1606 (2010)
Coauthor Index
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last updated on 2024-09-13 00:42 CEST by the dblp team
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