Zexi Huang

Welcome, my name is Zexi Huang. I am a PhD student at 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 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 an year as a visiting research assistant at School of Computer Science and Engineering, Nanyang Technological University (NTU) and enjoyed a nice semester as an exchange student at 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 and Computational Intelligence Lab, NTU, as a Research Assistant working 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.