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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.
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About me
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Published:
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This project is (1) to define families of graph convolution operators, and (2) to investigate the properties of the choice of graph convolution operators in spatial perspective.
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This project is to understand the Graph Neural Network as Dimensionality Reduction and Visualization Techniques.
Published in 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Grader, University of Chicago, Department of Statistics, 2021
STAT28000: Optimization(Spring 2022) is undergraduate optimization course taught by Professor Lek-heng Lim.
Teaching Assistant, Environmental Data Science Bootcamp, 2021
Environmental Data Science Bootcamp is designed to give new and continuing PhD students a jumpstart into the practical skills needed for conducting research.
Instructor, University of Chicago, Chicago Academic Achievement Program, 2022
I was an instructor for 6-weeks Summer session covering statistics as a preparation for College Core Curriculum. Course materials are largely from OpenIntro. Here is the course webpage I maintained for the course.
Grader, University of Chicago, Department of Statistics, 2022
STAT22400 Applied Regression Analysis(Autumn 2022) is an undergraduate linear regression course taught by Yandi Shen
Teaching Assistant, University of Chicago, Department of Statistics, 2022
As a teaching assistant, I hold a 90 minutes coding tutorial for Julia for 137 students. This is a developed material for the tutorial.
Grader, University of Chicago, Department of Statistics, 2023
STAT24400 Statistical Theory and Methods I(Winter 2023) is an graduate mathematical statistics course taught by Mei Wang