Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
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
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.