<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects | Zhiping Lai's Homepage</title><link>https://lzping.com/en/projects/</link><atom:link href="https://lzping.com/en/projects/index.xml" rel="self" type="application/rss+xml"/><description>Projects</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 19 May 2024 00:00:00 +0000</lastBuildDate><image><url>https://lzping.com/media/icon_hu_9e0bd8efe7355528.png</url><title>Projects</title><link>https://lzping.com/en/projects/</link></image><item><title>simple-dotfiles</title><link>https://lzping.com/en/projects/simple-dotfiles/</link><pubDate>Fri, 29 May 2026 00:00:00 +0000</pubDate><guid>https://lzping.com/en/projects/simple-dotfiles/</guid><description>&lt;p&gt;A lightweight, ready-to-use collection of Bash, Vim, Tmux, and Git
configurations, deployed with a single &lt;code&gt;install.sh&lt;/code&gt; command.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Supports both symlink (&lt;code&gt;stow&lt;/code&gt;) and copy (&lt;code&gt;cp&lt;/code&gt;) deployment, with automatic
timestamped backups before deployment.&lt;/li&gt;
&lt;li&gt;Vendored &lt;code&gt;stow&lt;/code&gt; and &lt;code&gt;ble.sh&lt;/code&gt; builds keep installation working offline.&lt;/li&gt;
&lt;li&gt;Supports both macOS and Linux.&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>ConSSL</title><link>https://lzping.com/en/projects/conssl/</link><pubDate>Tue, 08 Jun 2021 00:00:00 +0000</pubDate><guid>https://lzping.com/en/projects/conssl/</guid><description>&lt;p&gt;Source code for &lt;em&gt;Contrastive Domain Adaptation: A Self-Supervised Learning
Framework for sEMG-Based Gesture Recognition&lt;/em&gt;.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Self-supervised pretraining followed by contrastive domain adaptation.&lt;/li&gt;
&lt;li&gt;Supports inter-session and inter-subject gesture recognition.&lt;/li&gt;
&lt;li&gt;Provides config-driven pretraining and training scripts on the Capgmyo
dataset.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Paper:
&lt;/p&gt;</description></item><item><title>STCN-GR</title><link>https://lzping.com/en/projects/stcn-gr/</link><pubDate>Thu, 06 May 2021 00:00:00 +0000</pubDate><guid>https://lzping.com/en/projects/stcn-gr/</guid><description>&lt;p&gt;Source code for &lt;em&gt;STCN-GR: Spatial-Temporal Convolutional Networks for
Surface-Electromyography-Based Gesture Recognition&lt;/em&gt;.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Models sEMG signals as graphs, combining graph convolution and temporal
convolution to capture spatial-temporal information.&lt;/li&gt;
&lt;li&gt;Config-driven training and testing scripts.&lt;/li&gt;
&lt;li&gt;Evaluated on the Capgmyo and BandMyo datasets.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Paper:
&lt;/p&gt;</description></item></channel></rss>