Posts by Collection

Paper Reading Notes and Presentation Slides

Here are some of my notes and slides for reading and commenting other people’s paper.

Technical Notes and Slides

Here are some of my technical notes and slides.

Course Project Reports and Notes

Here are some of my course project reports, slides, posters, and notes.

Resonance

Some thoughtful excerpts and sayings that encourage me.

My Dear Soccer

A poem summarizing my soccer journey one year before my final retirement.

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

Learning Bayesian Network Structure by Self-Generating Prior Information: The Two-step Clustering-based Strategy

• AAAI-18 Health Intelligence Workshop at New Orleans, USA (February 2018)

Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data

• Joint Statistical Meeting 2021, Seattle, USA (August 2021, Virtual)
• Geometric Data Analysis Reading Group, University of Washington, Seattle, USA (November 2020, Virtual)

Cosmic Filament Detection Through Directional Density Ridges

• Clubear Online Seminar Series (狗熊会); Recording in Chinese (June 2023)
• School of Mathematics, Sun Yat-Sen University, Guangzhou, China (September 2022)
• Cosmic Cartography, 2022 at Kashiwa, Japan (March 2022, Virtual)
• Shanghai Astronomical Observatory, Chinese Academy of Sciences, China (July 2021)

Efficient Inference on High-Dimensional Linear Models With Missing Outcomes

• Joint Statistical Meeting 2024, Portland, USA (August 2024)
• 2024 ICSA Applied Statistics Symposium, Nashville, USA (June 2024)
• The 37th New England Statistics Symposium, University of Connecticut, USA (May 2024)
• NISS Graduate Student Network Research Conference 2024 (May 2024, Virtual)
• Causal Inference and Missing Data Reading Group, University of Washington, Seattle USA (November 2023)

Nonparametric Inference on Dose-Response Curves Without the Positivity Condition

• NISS Virtual New Researchers Conference (Virtual, June 2025)
• Statistical and Machine Learning Approaches for the Social Science Group, Seattle, USA (May 2025)
• ENAR 2025 Spring Meeting, New Orleans, USA (March 2025)
• Causal Inference and Missing Data Analysis Lab, North Carolina State University, Raleigh, USA (March 2025)
• Causal Inference Working Group, Johns Hopkins University, Baltimore, USA (March 2025)
• Causal Inference and Missing Data Reading Group, University of Washington, Seattle, USA (November 2024)
• '’Thank Goodness for Influence Functions (TGIF)’’ Lab, University of Washington, Seattle, USA (October 2024)
• School of Mathematics, Sun Yat-Sen University, Guangzhou, China (September 2024)

Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments

• Measurement Science Team at Pinterest, Seattle, USA (May 2025)
• ENAR 2025 Spring Meeting, New Orleans, USA (March 2025)
• Geometric Data Analysis Reading Group, University of Washington, Seattle, USA (March 2025)
• '’Thank Goodness for Influence Functions (TGIF)’’ Lab, University of Washington, Seattle, USA (February 2025)

Statistical Computing (STAT 302)

Undergraduate Upper-Division Statistics Course, Department of Statistics, University of Washington (Autumn 2023)

Fourier Analysis and its Applications

Undergraduate Honor Course, School of Mathematics, Sun Yat-Sen University (Fall 2017)

Course Descriptions

Matrix Analysis and its Applications

Undergraduate Honor Course, School of Mathematics, Sun Yat-Sen University (Spring 2018)

Course Descriptions

Statistical Inference (STAT 512)

Master-level statistical inference course, Department of Statistics, University of Washington (Autumn 2022)

STAT 535 Statistical Learning: Modeling, Prediction, and Computing I (STAT 535)

Graduate-level statistical machine learning Course, Department of Statistics, University of Washington (Autumn 2024)

Machine Learning for Big Data (CSE 547 / STAT 548)

Graduate-level machine learning Course, Paul G. Allen School of Computer Science & Engineering, University of Washington (Spring 2025, Spring 2024, Winter 2023)