<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Wenlong Chen | Global Pathogen Analysis Platform (GPAP) AI Research</title><link>https://gpap-project.github.io/author/wenlong-chen/</link><atom:link href="https://gpap-project.github.io/author/wenlong-chen/index.xml" rel="self" type="application/rss+xml"/><description>Wenlong Chen</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 08 Oct 2026 00:00:00 +0000</lastBuildDate><image><url>https://gpap-project.github.io/media/logo.svg</url><title>Wenlong Chen</title><link>https://gpap-project.github.io/author/wenlong-chen/</link></image><item><title>When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization</title><link>https://gpap-project.github.io/publication/zhao-2026-when/</link><pubDate>Thu, 08 Oct 2026 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/zhao-2026-when/</guid><description/></item><item><title>Interdomain Attention: Beyond Token-Level Key-Value Memory</title><link>https://gpap-project.github.io/publication/kiyohara-2026-interdomain/</link><pubDate>Sat, 23 May 2026 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/kiyohara-2026-interdomain/</guid><description/></item><item><title>Saliency-Aware Regularized Quantization Calibration for Large Language Models</title><link>https://gpap-project.github.io/publication/zhao-2026-saliency/</link><pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/zhao-2026-saliency/</guid><description/></item><item><title>Recurrent Memory for Online Interdomain Gaussian Processes</title><link>https://gpap-project.github.io/publication/chen-2025-recurrent/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/chen-2025-recurrent/</guid><description/></item></channel></rss>