Lei Wang

According to our database, Lei Wang authored at least 48 papers between 2020 and 2026.

Collaborative distances:

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

2026

Double-robust and heterogeneity-aware distributed Poisson subsampling for misspecified measurement error models.

Junhao Shan, Lei Wang

Stat. Comput., June, 2026

Debiased machine learning for logistic partially linear mediation models with high-dimensional confounders.

Yining Wu, Jichen Yang, Guanfu Liu, Lei Wang

Stat. Comput., April, 2026

RefAlign: Representation Alignment for Reference-to-Video Generation.

Lei Wang, YuXin Song, Ge Wu, Haocheng Feng, Hang Zhou, Jingdong Wang, Yaxing Wang, Jian Yang

CoRR, March, 2026

WaDi: Weight Direction-aware Distillation for One-step Image Synthesis.

Lei Wang, Yang Cheng, Senmao Li, Ge Wu, Yaxing Wang, Jian Yang

CoRR, March, 2026

Doubly debiased inference for high-dimensional mediation models with measurement error.

Jichen Yang, Lei Wang, Guanfu Liu

Stat. Comput., February, 2026

2025

Heterogeneity-aware debiased machine learning for high-dimensional partially linear models.

Yining Wu, Lei Wang, Heng Lian

Stat. Comput., December, 2025

Distributed Estimation and Inference for High-Dimensional Confounded Models.

Jin Liu, Yuxin Fei, Wei Ma, Lei Wang

Stat. Comput., December, 2025

Statistical inference for matrix-vector linear regression without debiasing under Kronecker covariance structure.

Baofang Ke, Weihua Zhao, Lei Wang

Stat. Comput., December, 2025

Communication-efficient transfer learning for adaptive Huber regression.

Jichen Yang, Lei Wang, Heng Lian

Stat. Comput., October, 2025

Sparse estimation and inference for prediction-powered semi-supervised linear regression.

Zihao Song, Jicai Liu, Lei Wang, Heng Lian, Weihua Zhao

Stat. Comput., October, 2025

Optimal response-free Poisson subsampling for generalized linear models in increasing dimension.

Junhao Shan, Lei Wang

Stat. Comput., October, 2025

Double debiased estimation and inference for longitudinal generalized linear models with hidden confounders.

Yuxin Fei, Jin Liu, Lei Wang

Stat. Comput., October, 2025

Representation Entanglement for Generation:Training Diffusion Transformers Is Much Easier Than You Think.

Ge Wu, Shen Zhang, Ruijing Shi, Shanghua Gao, Zhenyuan Chen, Lei Wang, Zhaowei Chen, Hongcheng Gao, Yao Tang, Jian Yang, Ming-Ming Cheng, Xiang Li

CoRR, July, 2025

Debiased transfer learning estimation and inference for multinomial regression.

Jichen Yang, Lei Wang, Heng Lian

Stat. Comput., June, 2025

Sparse and debiased Lasso estimation and statistical inference for long time series via divide-and-conquer.

Jin Liu, Wei Ma, Lei Wang, Heng Lian

Stat. Comput., June, 2025

Scenarios-Aware Power Saving Mechanism for Consumer Mobile Phone.

Zuping Wu, Nuoya Zhang, Lei Wang, Pinghui Chen, Ping He

IEEE Trans. Consumer Electron., May, 2025

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models.

Senmao Li, Lei Wang, Kai Wang, Tao Liu, Jiehang Xie, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang

CoRR, May, 2025

Optimal distributed subsampling under heterogeneity.

Yujing Shao, Lei Wang, Heng Lian

Stat. Comput., April, 2025

Power enhancing probability subsampling using side information.

Junzhuo Gao, Lei Wang, Haiying Wang

Stat. Comput., April, 2025

Distributed Semi-Supervised Inference for Generalized Linear Models With Block-Wise Missing Covariates.

Ziyuan Wang, Jin Liu, Jun Shao, Heng Lian, Lei Wang

IEEE Trans. Inf. Theory, 2025

Improved analysis of supervised learning in the RKHS with random features: Beyond least squares.

Jiamin Liu, Lei Wang, Heng Lian

Neural Networks, 2025

Optimal distributed subsampling for expected shortfall regression via Neyman-orthogonal score.

Xing Li, Lei Wang, Heng Lian

Knowl. Based Syst., 2025

Optimal subsampling for high-dimensional partially linear models via machine learning methods.

Yujing Shao, Lei Wang, Heng Lian, Haiying Wang

J. Mach. Learn. Res., 2025

Optimal Decorrelated Score Subsampling for High-Dimensional Generalized Linear Models Under Measurement Constraints.

Yujing Shao, Lei Wang, Heng Lian

J. Comput. Graph. Stat., 2025

An Integrated GMM Shrinkage Approach with Consistent Moment Selection from Multiple External Sources.

Fang Fang, Tian Long, Jun Shao, Lei Wang

J. Comput. Graph. Stat., 2025

Double machine learning for partially linear mediation models with high-dimensional confounders.

Jichen Yang, Yujing Shao, Jin Liu, Lei Wang

Neurocomputing, 2025

Optimal decorrelated score subsampling for Cox regression with massive survival data.

Yujing Shao, Zhaohan Hou, Lei Wang, Heng Lian

Neurocomputing, 2025

Heterogeneity-aware transfer learning for high-dimensional linear regression models.

Yanjin Peng, Lei Wang

Comput. Stat. Data Anal., 2025

Communication-efficient estimation and inference for high-dimensional longitudinal data.

Xing Li, Yanjing Peng, Lei Wang

Comput. Stat. Data Anal., 2025

Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability.

Lei Wang, Senmao Li, Fei Yang, Jianye Wang, Ziheng Zhang, Yuhan Liu, Yaxing Wang, Jian Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models.

Senmao Li, Lei Wang, Kai Wang, Tao Liu, Jiehang Xie, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Two-Stage Online Debiased Lasso Estimation and Inference for High-Dimensional Quantile Regression with Streaming Data.

Yanjin Peng, Lei Wang

J. Syst. Sci. Complex., June, 2024

Image classification based on tensor network DenseNet model.

Chunyang Zhu, Lei Wang, Weihua Zhao, Heng Lian

Appl. Intell., April, 2024

High-dimensional <i>M</i>-estimation for Byzantine-robust decentralized learning.

Xudong Zhang, Lei Wang

Inf. Sci., January, 2024

Heterogeneous quantile regression for longitudinal data with subgroup structures.

Zhaohan Hou, Lei Wang

Comput. Stat. Data Anal., 2024

Class-Aware Semi-Supervised Contrastive Learning with Pseudo-Label Guidance for Bearing Fault Diagnosis.

Lei Wang, Boyuan Yang

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

2023

Routing Strategy for Multi-Hop and Multi-Connection Communications Based on Low-Latency Proximity Radio Access Network.

Li Ma, Lei Wang, Kexin Yang, Nuoya Zhang, Xueliang Chen, Yanqing Lu, Yudong Yao

IEEE Wirel. Commun. Lett., December, 2023

Online regularized matrix regression with streaming data.

Yaohong Yang, Weihua Zhao, Lei Wang

Comput. Stat. Data Anal., November, 2023

Communication-efficient estimation of quantile matrix regression for massive datasets.

Yaohong Yang, Lei Wang, Jiamin Liu, Rui Li, Heng Lian

Comput. Stat. Data Anal., November, 2023

Trustworthy sealed-bid auction with low communication cost atop blockchain.

Qian Zhang, Yong Yu, Huilin Li, Jiguo Yu, Lei Wang

Inf. Sci., 2023

Communication-efficient distributed estimation of partially linear additive models for large-scale data.

Junzhuo Gao, Lei Wang

Inf. Sci., 2023

Smoothed tensor quantile regression estimation for longitudinal data.

Baofang Ke, Weihua Zhao, Lei Wang

Comput. Stat. Data Anal., 2023

Latency Analysis and Trial for 5G Ultra Reliable Low Latency Communication.

Nuoya Zhang, Ping He, Zuping Wu, Pinghui Chen, Lei Wang, Zhenye Ye

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022

Performance Evaluation of the Dynamic Multi-hop in Proximity Radio Access Network.

tHaibo Wu, Yanqing Lu, Ting Zhang, Lei Wang

Proceedings of the International Symposium on Networks, Computers and Communications, 2022

5G UE Network Slicing based on SDK Implementation and Field Test.

Shuzhen Chen, Pinghui Chen, Hai Huang, Zuping Wu, Minwei Yang, Nuoya Zhang, Lei Wang

Proceedings of the 3rd International Conference on Computing, 2022

2021

An Efficient Multiple Imputation Approach for Estimating Equations with Response Missing at Random and High-Dimensional Covariates.

Lei Wang, Siying Sun, Zheng Xia

J. Syst. Sci. Complex., 2021

Dimension-reduced semiparametric estimation of distribution functions and quantiles with nonignorable nonresponse.

Lei Wang, Pu-Ying Zhao, Jun Shao

Comput. Stat. Data Anal., 2021

2020

Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response.

Ting Zhang, Lei Wang

Comput. Stat. Data Anal., 2020