<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Report | Zhonghao Chen</title><link>https://diogeneschen.github.io/publication_types/report/</link><atom:link href="https://diogeneschen.github.io/publication_types/report/index.xml" rel="self" type="application/rss+xml"/><description>Report</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jun 2023 00:00:00 +0000</lastBuildDate><image><url>https://diogeneschen.github.io/media/icon_hu18301096222111465208.png</url><title>Report</title><link>https://diogeneschen.github.io/publication_types/report/</link></image><item><title>An algorithm and system design of Deep Learning based edge-cloud scheduling for neuro-electrophysiological signals</title><link>https://diogeneschen.github.io/publication/edge-cloud-scheduling-neuro-2023/</link><pubDate>Thu, 01 Jun 2023 00:00:00 +0000</pubDate><guid>https://diogeneschen.github.io/publication/edge-cloud-scheduling-neuro-2023/</guid><description>&lt;p>Technical report on algorithm and system design of deep learning based edge–cloud scheduling for neuro-electrophysiological signal workloads.&lt;/p></description></item></channel></rss>