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A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction


Mar 11, 2022
Yuchen Dang, Ziqi Chen, Heng Li, Hai Shu


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BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation


Sep 25, 2021
Qiran Jia, Hai Shu

* Submitted to MICCAI BrainLes 2021 Workshop 

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A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation


Nov 04, 2020
Chenggang Lyu, Hai Shu


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Adversarial Image Generation and Training for Deep Convolutional Neural Networks


Jun 05, 2020
Ronghua Shi, Hai Shu, Hongtu Zhu, Ziqi Chen


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D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets


Jan 09, 2020
Hai Shu, Zhe Qu, Hongtu Zhu


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CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets


Dec 20, 2019
Zhe Qu, Hai Shu


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Sensitivity Analysis of Deep Neural Networks


Jan 22, 2019
Hai Shu, Hongtu Zhu

* Accepted by AAAI-19 

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Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations


Jul 18, 2017
Hai Shu, Bin Nan

* The result for banding estimator of covariance matrix is given in the version 2 of this article. See arXiv:1412.5059v2 

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Multiple Testing for Neuroimaging via Hidden Markov Random Field


Jul 28, 2016
Hai Shu, Bin Nan, Robert Koeppe

* Biometrics, 71(3), pp.741-750 (2015) 
* A MATLAB package implementing the proposed FDR procedure is available with this paper at the Biometrics website on Wiley Online Library 

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