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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
Biography
About me
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Posts
Future Blog Post
Published:
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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
1.Causal Alignment for Large Language Models (2023.05–)
We propose a novel approach based on causal abstraction theory and mixture of experts to find the neural representation corresponding to a given causal variable in the causal structure model.
2.Social Resilience Research Based on Causal Discovery (2023.02–2023.05)
We characterize social resilience using the resilience of social cognitive networks generated by causal discovery. 
3.Modeling Information Cascading Behavior Based on Causal Inference (2022.09–2023.02)
We employ causal inference to quantify the extent of influence that internal motivation and external environment have on individual decision-making. By delving into the reasons behind individual behavior, it aims to furnish a solid foundation for the formulation of effective policies.
4.Deep Causal Learning: Representation, Discovery and Inference (2021.11–2022.09)
We introduce the latest advancements in three fundamental areas of deep causal learning: causal representation learning, deep causal discovery, and deep causal inference. 
5.Credible Influence Analysis in Mass Media Using Causal Inference (2021.06–2021.11)
Based on large-scale news media data, we use the cross convergent mapping method to construct a causal network of influence among countries, and superimposes the influence network generated by the interaction degree to form a credible influence network. 
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files 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.