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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
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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
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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
publications
Respiratory diseases are positively associated with PM2.5 concentrations in different areas of Taiwan
Published in , 2021
Wang F, Chen T, Chang Q, et al. Respiratory diseases are positively associated with PM2. 5 concentrations in different areas of Taiwan[J]. PLoS One, 2021, 16(4): e0249694.
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A Simple Spectral Failure Mode for Graph Convolutional Networks
Published in , 2021
Priebe, C. E., Shen, C., Huang, N., & Chen, T. (2021). A simple spectral failure mode for graph convolutional networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11), 8689-8693. Download paper here
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Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror
Published in , 2023
Chen, T., Park, Y., Saad-Eldin, A., Lubberts, Z., Athreya, A., Pedigo, B. D., … & Priebe, C. E. (2023). Discovering a change point in a time series of organoid networks via the iso-mirror. arXiv preprint arXiv:2303.04871. Download paper here
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talks
Understanding swarm: manifold learning on spectral representation of time series of graphs.
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A simple example for understanding swarms.
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teaching
Statistics review session 2023
Workshop, Johns Hopkins University, AMS Department, 2023
Teaching assistant
Graduate courses, Johns Hopkins University, AMS Department, 2024
Statistics review session 2024
Workshop, Johns Hopkins University, AMS Department, 2024