<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hidden-State Inference | Wenbo Zhang</title><link>https://wenbozhangcn.github.io/tags/hidden-state-inference/</link><atom:link href="https://wenbozhangcn.github.io/tags/hidden-state-inference/index.xml" rel="self" type="application/rss+xml"/><description>Hidden-State Inference</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 11 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://wenbozhangcn.github.io/media/sharing.jpg</url><title>Hidden-State Inference</title><link>https://wenbozhangcn.github.io/tags/hidden-state-inference/</link></image><item><title>HALO</title><link>https://wenbozhangcn.github.io/projects/halo/</link><pubDate>Mon, 11 May 2026 00:00:00 +0000</pubDate><guid>https://wenbozhangcn.github.io/projects/halo/</guid><description>&lt;p&gt;HALO studies hidden activation-loading organization: how motion, contact pressure, biomechanical loading, and muscle activation interact beneath observable movement.&lt;/p&gt;
&lt;p&gt;The project aims to infer these latent structures from practical sparse wearable signals, making biomechanical organization more accessible outside the lab and easier to connect with feedback-driven mobile health applications.&lt;/p&gt;</description></item></channel></rss>