<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Paper-Conference | Yangshuai Wang</title><link>https://yangshuaiwang.github.io/publication_types/paper-conference/</link><atom:link href="https://yangshuaiwang.github.io/publication_types/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>Paper-Conference</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><image><url>https://yangshuaiwang.github.io/media/icon_hu_eee4a95885829ab2.png</url><title>Paper-Conference</title><link>https://yangshuaiwang.github.io/publication_types/paper-conference/</link></image><item><title>IADR: Interface-Augmented Neural Operator for Phase-Field Mean-Curvature Flow</title><link>https://yangshuaiwang.github.io/publications/2026-iadr-interface-augmented-neural-operator-for-phase-field/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yangshuaiwang.github.io/publications/2026-iadr-interface-augmented-neural-operator-for-phase-field/</guid><description>&lt;p&gt;&lt;em&gt;Co-corresponding author.&lt;/em&gt;&lt;/p&gt;</description></item><item><title>LDD-RFM: Learnable Domain Decomposition for Random Feature Models via Variable Projection</title><link>https://yangshuaiwang.github.io/publications/2026-ldd-rfm-learnable-domain-decomposition-for-random/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yangshuaiwang.github.io/publications/2026-ldd-rfm-learnable-domain-decomposition-for-random/</guid><description>&lt;p&gt;&lt;em&gt;Corresponding author.&lt;/em&gt;&lt;/p&gt;</description></item><item><title>MicroEvoEval: A Systematic Evaluation Framework for Image-Based Microstructure Evolution Prediction</title><link>https://yangshuaiwang.github.io/publications/2026-microevoeval-a-systematic-evaluation-framework-for/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://yangshuaiwang.github.io/publications/2026-microevoeval-a-systematic-evaluation-framework-for/</guid><description>&lt;p&gt;&lt;em&gt;Co-corresponding author.&lt;/em&gt;&lt;/p&gt;</description></item></channel></rss>