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CS Paper Notes

This repository collects my reading notes for computer science research papers. The notes are written in Markdown and organized for review in Obsidian or directly on GitHub.

Repository Structure

Folder Description Notes
AI4H Papers and notes on artificial intelligence for healthcare, clinical analysis, and medical decision support. Focused AI-for-health reading notes.
Basics Foundational papers and core concepts in AI, ML, and computer vision. Start here for classic papers.
Templates Reusable templates for future literature notes, organized by module. Use these to keep note format consistent.

Paper Notes

The note tables use short display names so the README stays readable on GitHub. Full original paper titles, authors, and DOI links are preserved inside each note.

AI4H

Note Year Venue / Source Status Focus
Clinical Gait Analysis 2024 PLOS Digital Health Read Video-based pose estimation for clinical gait analysis.
Monocular 3D Gait Assessment 2021 Scientific Reports Read Monocular smartphone-video gait parameters validated against GAITRite.
Spatiotemporal Gait Parameters 2020 JMIR mHealth and uHealth Read Markerless gait parameters compared with OptoGait and high-speed video.
VisionMD-Gait 2026 Scientific Reports Read Smartphone-video clinical gait assessment.
MotionMetrix-Qualisys Agreement 2023 Sensors Read MotionMetrix markerless gait measurements compared with Qualisys 3D motion capture.
Multiple Pose Trackers for Older Adult Gait 2021 Journal of NeuroEngineering and Rehabilitation Read RGB-video pose tracking for older-adult gait across trackers, camera heights, and walking directions.
Smartphone Location for Markerless Gait Analysis 2024 Bioengineering Read Smartphone camera location effects on markerless pose-estimation gait analysis.

Basics

Note Year Venue / Source Status Focus
AlexNet 2012 NeurIPS Read Large-scale CNN image classification on ImageNet.

Note Format

The current templates are organized by module:

Reading Workflow

My paper-reading workflow follows Mu Li's three-pass paper reading method. I first skim the paper to understand the title, abstract, figures, and overall contribution. Then I read more carefully to understand the method, assumptions, experiments, and results. Finally, I revisit the paper in depth when I need to connect it to other work or write a more complete note.

I use Zotero for reading and annotation. Highlight colors have specific meanings:

  • Yellow: ordinary important points, definitions, methods, or results.
  • Green: parts I do not fully understand yet.
  • Red: possible problems, weaknesses, limitations, or questionable claims.
  • Blue: strengths, elegant ideas, or things the paper does especially well.

After reading, I use these highlights to fill in the note template, turning annotations into structured summaries, critiques, and follow-up questions.

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My reading notes for computer science research papers

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