3 citations · 10 across the 11 of their papers we have counts for
16 papers
Improved Naive Bayes with Mislabeled Data
Qianhan Zeng, Yingqiu Zhu, Xuening Zhu +5
Labeling mistakes are frequently encountered in real-world applications. If not treated well, the labeling mistakes can deteriorate the classification performances of a model serio…
Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis with Limited Computational Resources
Shuyuan Wu, Xuening Zhu, Hansheng Wang
Modern statistical analysis often encounters datasets with large sizes. For these datasets, conventional estimation methods can hardly be used immediately because practitioners oft…
Distributed Logistic Regression for Massive Data with Rare Events
Xuetong Li, Xuening Zhu, Hansheng Wang
Large-scale rare events data are commonly encountered in practice. To tackle the massive rare events data, we propose a novel distributed estimation method for logistic regression…
CoGANPPIS: A Coevolution-enhanced Global Attention Neural Network for Protein-Protein Interaction Site Prediction
Jiaxing Guo, Xuening Zhu, Zixin Hu +1
Protein-protein interactions are of great importance in biochemical processes. Accurate prediction of protein-protein interaction sites (PPIs) is crucial for our understanding of b…
Network Autoregression for Incomplete Matrix-Valued Time Series
Xuening Zhu, Feifei Wang, Zeng Li +1
We study the dynamics of matrix-valued time series with observed network structures by proposing a matrix network autoregression model with row and column networks of the subjects.…
Matrix-valued Network Autoregression Model with Latent Group Structure
Yimeng Ren, Xuening Zhu, Ganggang Xu +1
Matrix-valued time series data are frequently observed in a broad range of areas and have attracted great attention recently. In this work, we model network effects for high dimens…