<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Research on Hojae Lee</title><link>https://hojaeklee.github.io/research/</link><description>Recent content in Research on Hojae Lee</description><generator>Hugo -- 0.160.1</generator><language>en</language><lastBuildDate>Sun, 06 Jul 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://hojaeklee.github.io/research/index.xml" rel="self" type="application/rss+xml"/><item><title>Monty: Sensorimotor Intelligence for 3D Object Learning</title><link>https://hojaeklee.github.io/research/monty/</link><pubDate>Sun, 06 Jul 2025 00:00:00 +0000</pubDate><guid>https://hojaeklee.github.io/research/monty/</guid><description>How Monty learns structured 3D object models through movement and uses them for recognition, pose estimation, and robust generalization.</description></item><item><title>MorphNet: Predicting Cell Morphology from Gene Expression</title><link>https://hojaeklee.github.io/research/morphnet/</link><pubDate>Fri, 21 Oct 2022 00:00:00 +0000</pubDate><guid>https://hojaeklee.github.io/research/morphnet/</guid><description>How MorphNet connects single-cell gene expression with cellular and neuronal morphology using deep generative models.</description></item><item><title>A Beginner's Guide to Single-Cell Transcriptomics</title><link>https://hojaeklee.github.io/research/single-cell-transcriptomics/</link><pubDate>Fri, 18 Oct 2019 00:00:00 +0000</pubDate><guid>https://hojaeklee.github.io/research/single-cell-transcriptomics/</guid><description>A practical map of how single-cell RNA sequencing moves from isolated cells and barcoded molecules to expression matrices and biological interpretation.</description></item></channel></rss>