<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Working Paper | Xu Lab</title><link>https://xushidang-lab.netlify.app/publication-type/working-paper/</link><atom:link href="https://xushidang-lab.netlify.app/publication-type/working-paper/index.xml" rel="self" type="application/rss+xml"/><description>Working Paper</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 06 Nov 2025 00:00:00 +0000</lastBuildDate><image><url>https://xushidang-lab.netlify.app/media/icon_hu16174698449664387463.png</url><title>Working Paper</title><link>https://xushidang-lab.netlify.app/publication-type/working-paper/</link></image><item><title>Dynamic Reaction Path Descriptors: Integrating Mechanistic Insights for Enhanced AI-Driven Reaction Prediction</title><link>https://xushidang-lab.netlify.app/publication/2025-dynamic-reaction-path-descriptors/</link><pubDate>Thu, 06 Nov 2025 00:00:00 +0000</pubDate><guid>https://xushidang-lab.netlify.app/publication/2025-dynamic-reaction-path-descriptors/</guid><description>&lt;p>This record describes a preprint. Peer review and publication in a journal or conference have not been verified.&lt;/p>
&lt;p>Read the &lt;a href="https://chemrxiv.org/engage/chemrxiv/article-details/68fee1333e6156d3be3a1513" target="_blank" rel="noopener">preprint and its version history&lt;/a>.&lt;/p></description></item><item><title>Minimal High-Resolution Patches Are Sufficient for Whole Slide Image Representation via Cascaded Dual-Scale Reconstruction</title><link>https://xushidang-lab.netlify.app/publication/2025-cdsr-whole-slide-images/</link><pubDate>Sun, 03 Aug 2025 00:00:00 +0000</pubDate><guid>https://xushidang-lab.netlify.app/publication/2025-cdsr-whole-slide-images/</guid><description>&lt;p>A conference version has been accepted at PRCV 2026. The accepted title is “Learning Whole Slide Image Representations from Few High-Resolution Patches via Cascaded Dual-Scale Reconstruction”. The author list and downloadable citation on this page describe the 2025 preprint; the conference citation will be added after its final metadata is confirmed.&lt;/p>
&lt;p>Read the &lt;a href="https://arxiv.org/abs/2508.01641" target="_blank" rel="noopener">preprint and its version history&lt;/a>.&lt;/p></description></item><item><title>MoGaFace: Momentum-Guided and Texture-Aware Gaussian Avatars for Consistent Facial Geometry</title><link>https://xushidang-lab.netlify.app/publication/2025-mogaface/</link><pubDate>Sat, 02 Aug 2025 00:00:00 +0000</pubDate><guid>https://xushidang-lab.netlify.app/publication/2025-mogaface/</guid><description>&lt;p>A conference version has been accepted at PRCV 2026. The author list and downloadable citation on this page describe the 2025 preprint; the conference citation will be added after its final metadata is confirmed.&lt;/p>
&lt;p>Read the &lt;a href="https://arxiv.org/abs/2508.01218" target="_blank" rel="noopener">preprint and its version history&lt;/a>.&lt;/p></description></item><item><title>Accelerated Design of Near-Infrared-II Molecular Fluorophores via First-Principles Understanding and Machine Learning</title><link>https://xushidang-lab.netlify.app/publication/10-2021.9-accelerated-design-of-near-infrared-ii-molecular-fluorophores-via-first-principles-understanding-and-machine-learning/</link><pubDate>Wed, 15 Sep 2021 00:00:00 +0000</pubDate><guid>https://xushidang-lab.netlify.app/publication/10-2021.9-accelerated-design-of-near-infrared-ii-molecular-fluorophores-via-first-principles-understanding-and-machine-learning/</guid><description/></item></channel></rss>