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Posts by Collection
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publications
A novel offshore wind power prediction model based on TCN-DANet-sparse transformer with dual-channel feature extraction and multi-scale temporal fusion
Published in Energy, 2024
A novel deep learning model combining Temporal Convolutional Network (TCN), Dual Attention Network (DANet), and Sparse Transformer for accurate offshore wind power prediction, featuring dual-channel feature extraction and multi-scale temporal fusion.
Recommended citation: Chen, J., et al. (2024). "A novel offshore wind power prediction model based on TCN-DANet-sparse transformer." Energy.
CoGraphNet for enhanced text classification with co-occurrence graph-based representation learning
Published in Scientific Reports, 2025
CoGraphNet is a graph neural network framework that leverages word co-occurrence graphs to enhance text classification performance through graph-based representation learning.
Recommended citation: Chen, J., et al. (2025). "CoGraphNet for enhanced text classification with co-occurrence graph-based representation learning." Scientific Reports.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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