Zexi Huang

Welcome, my name is Zexi Huang. I am a PhD student at the Department of Computer Science, University of California, Santa Barbara (UCSB), starting from Fall 2018. Before joining UCSB, I received my Bachelor's Degree in Computer Science and Technology with the highest honor at Yingcai Honors College (elite school of top 5% undergraduates), University of Electronic Science and Technology of China (UESTC). During my undergraduate years, I spent half a year as a visiting research assistant at the School of Computer Science and Engineering, Nanyang Technological University (NTU), and enjoyed a nice semester as an exchange student at the College of Electrical and Computer Engineering, National Chiao Tung University.

My research interests span the analysis of social, informational, and biological networks with machine learning and data mining techniques. At UCSB, I work in Dynamic Networks: Analysis and Modeling (Dynamo) Lab, with Prof. Ambuj Singh as my advisor. My current research topic is network embedding and dynamics. Previously, I have interned at Books Tech, Amazon, as an Applied Scientist working on graph-based fraud detection in Kindle Direct Publishing. I have also interned at Computational Intelligence Lab, NTU on transfer learning framework for community detection in multiplex networks. As an undergraduate, I was a research assistant at Data Mining Lab, Big Data Research Center, UESTC, with Prof. Junming Shao as my advisor. I worked on dynamics-based algorithms for detecting overlapping communities at that time.