<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>H. Wang | Learning And Signal Processing</title><link>https://ucl-lasp.github.io/author/h.-wang/</link><atom:link href="https://ucl-lasp.github.io/author/h.-wang/index.xml" rel="self" type="application/rss+xml"/><description>H. Wang</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://ucl-lasp.github.io/media/icon_hu488c70cfa50b07216f285734af4abcd1_22080_512x512_fill_lanczos_center_3.png</url><title>H. Wang</title><link>https://ucl-lasp.github.io/author/h.-wang/</link></image><item><title>Han Wang</title><link>https://ucl-lasp.github.io/author/han-wang/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ucl-lasp.github.io/author/han-wang/</guid><description>&lt;p>I earned my MSc degree in Integrated Machine Learning Systems at UCL and my BEng in Mechatronics Engineering at Beijing Jiaotong University (China) and University of Wollongong (Australia). I aim to develop practical algorithms for anomaly detection on real-world networks. My research interests includes anomaly detection on dynamic graphs and dynamic graph modelling.&lt;/p></description></item></channel></rss>