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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
Posts
让扩散模型多想一会儿：从 URGE 到无导数 Stein Guidance
Published:
输入“一本书和一台笔记本电脑”，模型画出了一台电脑，却忘了书。再试一次，书出现了，电脑又不见了。既然模型偶尔能画对，能不能多花一些生成时的计算，让它更经常画对？
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
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
Linear Algebra (MATH-UA 140, NYU)
Undergraduate course, NYU Courant, 2024
Syllabus: pdf
Statistical Learning for Data Analysis (IEMS-304, Northwestern)
Undergraduate course, Northwestern IEMS, 2025
Required undergraduate course on predictive modeling in data science. Syllabus:[pdf]
Uncertainty Quantification (IEMS-407, Northwestern)
Graduate course, Northwestern IEMS, 2025
Advanced graduate course on Uncertainty Quantification.
Statistical Learning (IEMS-402, Northwestern)
Graduate course, Northwestern IEMS, 2025
Required graduate course on mathematical foundations of data science. Syllabus:[link]
Seminar on Machine Learning Theory and Algorithms
Research seminar, BICMR, Peking University, 2026
A reading seminar on learning theory, diffusion models, and language models, with shared topics in scaling laws and neural network optimization.