Search Results - "Li, Runze"

Linear Hypothesis Testing in Linear Models With High-Dimensional Responses by Runze Li, Changcheng Li

“…In this article, we propose a new projection test for linear hypotheses on regression coefficient matrices in linear models with high-dimensional responses. We…”
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Feature Screening via Distance Correlation Learning by Li, Runze, Zhong, Wei, Zhu, Liping

“…This article is concerned with screening features in ultrahigh-dimensional data analysis, which has become increasingly important in diverse scientific fields…”
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De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data with DeepLinc by Li, Runze, Yang, Xuerui

“…Based on a deep generative model of variational graph autoencoder (VGAE), we develop a new method, DeepLinc (deep learning framework for Landscapes of…”
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Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis by Cui, Hengjian, Li, Runze, Zhong, Wei

“…This work is concerned with marginal sure independence feature screening for ultrahigh dimensional discriminant analysis. The response variable is categorical…”
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High-Dimensional Nonparametric Multivariate Test for Mean Vector by Wang, Lan, Peng, Bo, Li, Runze

“…This work is concerned with testing the population mean vector of nonnormal high-dimensional multivariate data. Several tests for high-dimensional mean vector,…”
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NEW EFFICIENT ESTIMATION AND VARIABLE SELECTION METHODS FOR SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELS by Kai, Bo, Li, Runze, Zou, Hui

“…The complexity of semiparametric models poses new challenges to statistical inference and model selection that frequently arise from real applications. In this…”
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Experimental evaluation of surface topographies of NMQL grinding ZrO2 ceramics combining multiangle ultrasonic vibration by Jia, Dongzhou, Li, Changhe, Zhang, Yanbin, Yang, Min, Zhang, Xianpeng, Li, Runze, Ji, Heju

“…Nanofluid minimum quantity lubrication (NMQL) technique has many technological and economic advantages in grinding operation. NMQL can improve grinding…”
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A Data-Driven Long Time-Series Electrical Line Trip Fault Prediction Method Using an Improved Stacked-Informer Network by Guo, Li, Li, Runze, Jiang, Bin

“…The monitoring of electrical equipment and power grid systems is very essential and important for power transmission and distribution. It has great…”
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Thickness dependent anomalous Hall effect in noncollinear antiferromagnetic Mn3Sn polycrystalline thin films by Deng, Yongcheng, Li, Runze, Liu, Xionghua

“…The Weyl antiferromagnet Mn3Sn has been recently attracting considerable attention due to its unique properties like a large anomalous Hall effect (AHE). To…”
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Ground-Level NO2 Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence by Wei, Jing, Liu, Song, Li, Zhanqing, Liu, Cheng, Qin, Kai, Liu, Xiong, Pinker, Rachel T., Dickerson, Russell R., Lin, Jintai, Boersma, K. F., Sun, Lin, Li, Runze, Xue, Wenhao, Cui, Yuanzheng, Zhang, Chengxin, Wang, Jun

“…Nitrogen dioxide (NO2) at the ground level poses a serious threat to environmental quality and public health. This study developed a novel, artificial…”
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Effects of Physicochemical Properties of Different Base Oils on Friction Coefficient and Surface Roughness in MQL Milling AISI 1045 by Yin, Qingan, Li, Changhe, Dong, Lan, Bai, Xiufang, Zhang, Yanbin, Yang, Min, Jia, Dongzhou, Li, Runze, Liu, Zhanqiang

“…Minimum quantity lubrication (MQL) is an emerging green and resource-saving machining technique jetting minute amount lubricants and gas after mixing and…”
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TEST OF SIGNIFICANCE FOR HIGH-DIMENSIONAL LONGITUDINAL DATA by Fang, Ethan X., Ning, Yang, Li, Runze

“…This paper concerns statistical inference for longitudinal data with ultrahigh dimensional covariates. We first study the problem of constructing confidence…”
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Towards Visually Explaining Variational Autoencoders by Liu, Wenqian, Li, Runze, Zheng, Meng, Karanam, Srikrishna, Wu, Ziyan, Bhanu, Bir, Radke, Richard J., Camps, Octavia

“…Recent advances in Convolutional Neural Network (CNN) model interpretability have led to impressive progress in visualizing and understanding model…”
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Model-Free Feature Screening for Ultrahigh-Dimensional Data by Zhu, Li-Ping, Li, Lexin, Li, Runze, Zhu, Li-Xing

“…With the recent explosion of scientific data of unprecedented size and complexity, feature ranking and screening are playing an increasingly important role in…”
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Automatic monitoring system for individual dairy cows based on a deep learning framework that provides identification via body parts and estimation of body condition score by Yukun, Sun, Pengju, Huo, Yujie, Wang, Ziqi, Cui, Yang, Li, Baisheng, Dai, Runze, Li, Yonggen, Zhang

“…Body condition score (BCS) is a common tool for indirectly estimating the mobilization of energy reserves in the fat and muscle of cattle that meets the…”
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ESTIMATION AND TESTING FOR PARTIALLY LINEAR SINGLE-INDEX MODELS by Liang, Hua, Liu, Xiang, Li, Runze, Tsai, Chih-Ling

“…In partially linear single-index models, we obtain the semiparametrically efficient profile least-squares estimators of regression coefficients. We also employ…”
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The Bayesian lasso for genome-wide association studies by JIAHAN LI, DAS, Kiranmoy, GUIFANG FU, RUNZE LI, RONGLING WU

“…Despite their success in identifying genes that affect complex disease or traits, current genome-wide association studies (GWASs) based on a single SNP…”
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A Time-Varying Effect Model for Intensive Longitudinal Data by Tan, Xianming, Shiyko, Mariya P., Li, Runze, Li, Yuelin, Dierker, Lisa

“…Understanding temporal change in human behavior and psychological processes is a central issue in the behavioral sciences. With technological advances,…”
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Optimization of working parameters of high-pressure roller mill based on entropy weight method and response surface method by Yang, Fang, Li, Runze, Wang, Xiao, Cheng, Bo, Gu, Ruijie

“…In order to improve the crushing efficiency of high-pressure roller mill and reduce energy consumption, the optimal parameter combination of high-pressure…”
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Design of Experiments With Multiple Independent Variables: A Resource Management Perspective on Complete and Reduced Factorial Designs by Collins, Linda M, Dziak, John J, Li, Runze

“…An investigator who plans to conduct an experiment with multiple independent variables must decide whether to use a complete or reduced factorial design. This…”
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