Huamin QU, PHD

Prof. Huamin QU is the Director of Interdisciplinary Programs Office (IPO) and a professor in the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST). His main research interests are in visualization and human-computer interaction, with focuses on urban informatics, social network analysis, E-learning, text visualization, and explainable artificial intelligence (XAI). He has co-authored about 200 refereed papers including 50 papers published in the IEEE Transactions on Visualization and Computer Graphics (TVCG). He has supervised and is supervising more than 40 PhD students. He obtained a BS in Mathematics from Xi'an Jiaotong University, China, an MS and a PhD in Computer Science from the Stony Brook University.

ABSTRACT

AI+VIS: Magic Visualisation and Explainable AI

The interactions between AI and visualisation have dramatically changed the landscape of data visualisation. On the one side, AI technology can help automate the development of visualisation system, making it look like magic. On the other side, visualisation plays an important role in explainable AI. In this talk, I will introduce our research works which integrate AI and VIS. The first part of my talk will focus on how to use deep learning technology to tackle visualization tasks such as graph layout evaluation and generation, automated infographic design, and colormap recommendation. The second part of my talk will focus on visual analytics for explainable AI. I will introduce how to use visual analytics technology to help people understand different AI technologies like iForest, CNN, RNN, and Automated Machine Learning (ATL).