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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
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.
hobby
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
presentation
Random Matrices: Theory and Practice
Seminar Presenter, University of Science and Technology of China, Mathematics Department, April, 2023
This is a Seminar on Probability Theory and Mathematical Statistics, initiated by the instructor associate professor Dangzheng Liu.
projects
LSTM-GRU Hybrid Network
Course Project, University of Science and Technology of China, Time Series Analysis, January, 2024
This is my final project for Time Series Analysis. I propose an LSTM-GRU hybrid network architecture, inspired by GoogLeNet, for PM2.5 time series forecasting, which reduced the error rate by 30% compared to LSTM.
Airbnb Price Prediction in New York City
Course Project, Duke University, CS 671 Theory & Alg Machine Learning, November, 2024
This project was my Kaggle competition in CS 671 (Machine Learning). The task was to predict Airbnb prices in New York City. I achieved a top 5 ranking out of 137 participants and later developed an improved solution outperforming all original submissions in the competition.
Amazon recommendation system - Report As a Data Scientist
Course Project, Duke University, STA 521 Predictive Inference, December, 2024
This is my final project for STA 521 (Predictive Inference), focusing on how to improve the effectiveness of recommendations using personal information on Amazon.
Basketball Breakdown - NCAA Shiny App
Course Project, Duke University, STA 523 R Programming, December, 2024
This is my group’s final project for STA 523 (R Programming): a data archive NCAA basketball data analysis Shiny app. It includes match, team, and player analysis, as well as visualization and prediction features.
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).
Download Paper | Download Slides
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).
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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).
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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research
TMfPOFD: Trimmed Mean for Partially Observed Functional Data
Bachelor's Thesis, University of Science and Technology of China, Mathematics Department, May, 2024
This is my bachelor’s thesis. In this thesis, I introduce the concept of the trimmed mean for partially observed functional data, prove the strong consistency of the estimator, and present results from simulation experiments.
SADA: Stability-guided Adaptive Diffusion Acceleration
ICML 2025, Duke University, January, 2025
A training-free diffusion acceleration framework that jointly exploits step-wise and token-wise sparsity via a unified stability criterion. SADA achieves ≥ 1.8× speedup while maintaining LPIPS ≤ 0.10 and FID ≤ 4.5, significantly outperforming prior methods on SD-2, SDXL, Flux, and ControlNet.
Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
NeurIPS 2025 (Submitted), Duke University, May, 2025
A theoretically grounded optimization method that enhances classical coordinate descent by unrolling updates across blocks and applying Taylor-based curvature correction. ECCD achieves up to 13× speedup and maintains sub-10⁻⁵ relative error across logistic and Poisson GLMs, outperforming glmnet, biglasso, and ncvreg on high-dimensional benchmarks.
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
MATH1009.12 Linear Algebra B1
Teaching assistant, University of Science and Technology of China, Mathematics Department, March, 2023
This course gives an introduction to the basic knowledge of linear algebra. I ranked third among teaching assistants in the entire school for the semester. There was a total of 62 outstanding teaching assistants that semester, ranked top 5% among all the TAs.