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Sitemap
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
Welcome to Yang Li's Homepage!
About me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
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
Read and Unread Prediction
Recommender Systems Course Project
Experiment and Comparison on Traditional CNN model
Deep Learning Course Project
Trending Youtube Video Data Analysis
Data Science Project
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
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.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
DSC20-Programming and Basic Data Structures for Data Science
Undergraduate Lower Division Courses, Winter 2019, HDSI, UCSD, 2019
- Title: Tutors (Undergrad Instructional Assistant)
- Introduction course to the structures that underlie the programs, algorithms, and languages used in data science. (Recursion, Higher-Order Functions, Data Structures, etc.)
- Instructor: Prof. Marina Langlois
DSC40A-Theoretical Foundations of Data Science I
Undergraduate Lower Division Courses, Fall 2018, Fall 2020, HDSI, UCSD, 2020
- Title: Tutors (Undergrad Instructional Assistant)
- Introduction course to the theoretical foundations of data science. (Probabilistic Reasoning, Mathematical Modeling of Data, and Algorithmic Problem Solving)
- Instructor: Prof. Janine Tiefenbruck
DSC10-Principles of Data Science
Undergraduate Lower Division Courses, Spring 2018, Spring/Fall 2019, Winter 2021, HDSI, UCSD, 2021
- Title: Tutors (Undergrad Instructional Assistant)
- Introduction course to develops computational thinking and tools necessary to answer questions that arise from large-scale datasets. (Data Processing, Modeling, Analysis, Python.) Course Link Note: This is shared link for all dsc10 courses.
- Instructor: Prof. Janine Tiefenbruck
DSC190-Introduction to Data Mining
Undergraduate Upper Division Courses, Spring 2020, Winter 2021, HDSI, UCSD, 2021
- Title: Tutors (Undergrad Instructional Assistant)
- Introduction course to Data Mining which focuses on introducing current methods and models that are useful in analyzing and mining real-world data. Course Link
- Instructor: Prof. Jingbo Shang