Search Results - "Yuan, Yubai"

De-confounding Causal Inference Using Latent Multiple-Mediator Pathways by Yuan, Yubai, Qu, Annie

“…Causal effect estimation from observational data is one of the essential problems in causal inference. However, most estimation methods rely on the strong…”
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High-Order Joint Embedding for Multi-Level Link Prediction by Yuan, Yubai, Qu, Annie

“…Link prediction infers potential links from observed networks, and is one of the essential problems in network analyses. In contrast to traditional graph…”
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Query-Augmented Active Metric Learning by Deng, Yujia, Yuan, Yubai, Fu, Haoda, Qu, Annie

“…In this article, we propose an active metric learning method for clustering with pairwise constraints. The proposed method actively queries the label of…”
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Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling by Xu, Qi, Yuan, Yubai, Wang, Junhui, Qu, Annie

“…Crowdsourcing has emerged as an alternative solution for collecting large scale labels. However, the majority of recruited workers are not domain experts, so…”
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Differentially expressed heterogeneous overdispersion genes testing for count data by Yuan, Yubai, Xu, Qi, Wani, Agaz, Dahrendorff, Jan, Wang, Chengqi, Shen, Arlina, Donglasan, Janelle, Burgan, Sarah, Graham, Zachary, Uddin, Monica, Wildman, Derek, Qu, Annie

“…The mRNA-seq data analysis is a powerful technology for inferring information from biological systems of interest. Specifically, the sequenced RNA fragments…”
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Community detection with dependent connectivity by Yuan, Yubai, Qu, Annie

“…In network analysis, within-community members are more likely to be connected than between-community members, which is reflected in that the edges within a…”
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Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling by Xu, Qi, Yuan, Yubai, Wang, Junhui, Qu, Annie

“…Crowdsourcing has emerged as an alternative solution for collecting large scale labels. However, the majority of recruited workers are not domain experts, so…”
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Tensors in Statistics by Bi, Xuan, Tang, Xiwei, Yuan, Yubai, Zhang, Yanqing, Qu, Annie

“…This article provides an overview of tensors, their properties, and their applications in statistics. Tensors, also known as multidimensional arrays, are…”
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Joint Modeling of Change-Point Identification and Dependent Dynamic Community Detection by Li, Diqing, Yuan, Yubai, Zhang, Xinsheng, Qu, Annie

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Tensor factorization recommender systems with dependency by Zhang, Jiuchen, Yuan, Yubai, Qu, Annie

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Investigating disaster response for resilient communities through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season by Ma, Zihui, Li, Lingyao, Hemphill, Libby, Baecher, Gregory B., Yuan, Yubai

“…•Leverage social media data to assess wildfire response effort.•Apply the SIR model to quantitative measure disaster response on Twitter.•Reveal the disparity…”
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Approximate Likelihood for Dependent Networks and Hyperlink Predictions by Yuan, Yubai

“…Network data has arisen as one of the most common forms of information collection. This is due to the fact that the scope of studies not only focuses on…”
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Deep learning from a statistical perspective by Yuan, Yubai, Deng, Yujia, Zhang, Yanqing, Qu, Annie

“…As one of the most rapidly developing artificial intelligence techniques, deep learning has been applied in various machine learning tasks and has received…”
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Assessment of Progressive Muscle Relaxation (PMR) as a Stress-Reducing Technique for First-Year Veterinary Students by Allison, Sarah, Irwin Hamilton, Katherine, Yuan, Yubai, Wallis Hague, Gail

“…The veterinary profession continually strives to address wellness issues such as compassion fatigue, burnout, stress, anxiety, and depression. Wellness issues…”
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Differentially expressed heterogeneous overdispersion genes testing for count data by Yubai Yuan, Qi Xu, Agaz Wani, Jan Dahrendorff, Chengqi Wang, Arlina Shen, Janelle Donglasan, Sarah Burgan, Zachary Graham, Monica Uddin, Derek Wildman, Annie Qu

“…The mRNA-seq data analysis is a powerful technology for inferring information from biological systems of interest. Specifically, the sequenced RNA fragments…”
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Robust Offline Active Learning on Graphs by Wu, Yuanchen, Yuan, Yubai

“…We consider the problem of active learning on graphs, which has crucial applications in many real-world networks where labeling node responses is expensive. In…”
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De-confounding causal inference using latent multiple-mediator pathways by Yuan, Yubai, Qu, Annie

“…Causal effect estimation from observational data is one of the essential problems in causal inference. However, most estimation methods rely on the strong…”
Get full text

High-order joint embedding for multi-level link prediction by Yuan, Yubai, Qu, Annie

“…Link prediction infers potential links from observed networks, and is one of the essential problems in network analyses. In contrast to traditional graph…”
Get full text

Individualized Dynamic Mediation Analysis Using Latent Factor Models by Zhang, Yijiao, Yuan, Yubai, Zhang, Yuexia, Zhu, Zhongyi, Qu, Annie

“…Mediation analysis plays a crucial role in causal inference as it can investigate the pathways through which treatment influences outcome. Most existing…”
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Community Detection with Dependent Connectivity by Yuan, Yubai, Qu, Annie

“…In network analysis, within-community members are more likely to be connected than between-community members, which is reflected in that the edges within a…”
Get full text