<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Zhenyuan Lu: blog</title><description>Deep learning scientist at Seurat and AI/ML adjunct faculty at Northeastern. Physics AI, LLMs for engineering, domain adaptation, quantization and HPC.</description><link>https://zhenyuanlu.com/</link><language>en</language><atom:link href="https://zhenyuanlu.com/feed.xml" rel="self" type="application/rss+xml"/><item><title>Wrist Motion and Hand Gesture Classification</title><link>https://zhenyuanlu.com/blog/gesture-classification/</link><guid isPermaLink="true">https://zhenyuanlu.com/blog/gesture-classification/</guid><description>PainAttnNet Model Extended Version on Motion Detection based on Signals.</description><pubDate>Tue, 16 May 2023 16:00:00 GMT</pubDate><category>signals</category><category>transformers</category></item><item><title>Artifacts Analysis and Mitigation in NLP</title><link>https://zhenyuanlu.com/blog/artifacts-mitigation-nlp/</link><guid isPermaLink="true">https://zhenyuanlu.com/blog/artifacts-mitigation-nlp/</guid><description>Machine learning models can reach high performance on benchmark natural language processing (NLP) datasets but fail in more challenging settings. We study this issue when pre-trained model learns dataset artifacts in natural language inference (NLI), the topic of studying the logical relationship between a pair of text sequences.</description><pubDate>Fri, 16 Dec 2022 17:00:00 GMT</pubDate><category>language</category><category>transformers</category><category>augmentation</category></item><item><title>Brief Introduction to Contrastive Learning Pretext Tasks for Visual Representation</title><link>https://zhenyuanlu.com/blog/contrastive-learning-for-visual/</link><guid isPermaLink="true">https://zhenyuanlu.com/blog/contrastive-learning-for-visual/</guid><description>To improve performance in visual feature representation from photos or videos for practical applications, we generally require large-scale human-annotated labeled data while training deep neural networks.</description><pubDate>Thu, 06 Oct 2022 16:00:00 GMT</pubDate><category>vision</category><category>self-supervised</category><category>augmentation</category></item><item><title>Integration of A Lateral Flow Immunoassay Panel with 3D-printed and Laser-cut Cartridge for Gastroenteritis</title><link>https://zhenyuanlu.com/blog/lfia/</link><guid isPermaLink="true">https://zhenyuanlu.com/blog/lfia/</guid><description>A lateral flow immunoassay for gastroenteritis, joined to a point-of-care swab cartridge, that detects norovirus virus-like particles down to 50 pM.</description><pubDate>Wed, 08 Feb 2017 17:00:00 GMT</pubDate><category>health</category></item></channel></rss>