Zhenghua Xu

Dr Zhenghua Xu
See also
Selected Publications
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PhaCIA−TCNs: Short−Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention
Zhenghua Xu‚ Zhoutao Yu‚ Hexiang Zhang‚ Junyang Chen‚ Junhua Gu‚ Thomas Lukasiewicz and Victor Leung
In IEEE Transactions on Network Science and Engineering. August, 2023.
Details about PhaCIA−TCNs: Short−Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention | BibTeX data for PhaCIA−TCNs: Short−Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention | Link to PhaCIA−TCNs: Short−Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention
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μ−Net: Medical image segmentation using efficient and effective deep supervision
Di Yuan‚ Zhenghua Xu‚ Biao Tian‚ Hening Wang‚ Yuefu Zhan and Thomas Lukasiewicz
In Computers in Biology and Medicine. Vol. 160. Pages 106963. June, 2023.
Details about μ−Net: Medical image segmentation using efficient and effective deep supervision | BibTeX data for μ−Net: Medical image segmentation using efficient and effective deep supervision | Link to μ−Net: Medical image segmentation using efficient and effective deep supervision
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Painless and accurate medical image analysis using deep reinforcement learning with task−oriented homogenized automatic pre−processing
Di Yuan‚ Yunxin Liu‚ Zhenghua Xu‚ Yuefu Zhan‚ Junyang Chen and Thomas Lukasiewicz
In Computers in Biology and Medicine. Vol. 153. Pages 106487. February, 2023.
Details about Painless and accurate medical image analysis using deep reinforcement learning with task−oriented homogenized automatic pre−processing | BibTeX data for Painless and accurate medical image analysis using deep reinforcement learning with task−oriented homogenized automatic pre−processing | Link to Painless and accurate medical image analysis using deep reinforcement learning with task−oriented homogenized automatic pre−processing