<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Li-Chun Fang | VCSDL</title><link>https://vcsd-lab.github.io/en/authors/li-chun-fang/</link><atom:link href="https://vcsd-lab.github.io/en/authors/li-chun-fang/index.xml" rel="self" type="application/rss+xml"/><description>Li-Chun Fang</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 18 Apr 2022 00:00:00 +0000</lastBuildDate><item><title>Variational Channel Distribution Pruning and Mixed-Precision Quantization for Neural Network Model Compression</title><link>https://vcsd-lab.github.io/en/publications/conference/2022-variatinal-prune/</link><pubDate>Mon, 18 Apr 2022 00:00:00 +0000</pubDate><guid>https://vcsd-lab.github.io/en/publications/conference/2022-variatinal-prune/</guid><description/></item></channel></rss>