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Ruizhi Liao, often known as Ray, is a Ph.D. candidate at the Georgia Institute of Technology, specializing in Human-Computer Interaction (HCI), with a strong focus on the intersection of Artificial Intelligence and Data Visualization. His research aims to empower users by creating intelligent interactive systems that help them understand, interpret, and interact with complex data and AI models more effectively. Ray is particularly interested in areas such as explainable AI (XAI), natural language interaction for data analysis, and tools that support creative processes. He has a track record of publishing in top-tier HCI and visualization venues and has gained valuable experience through research internships at leading institutions like Microsoft Research Asia. He is passionate about building tools and systems that have a real-world impact on how people work with information and technology.
Ruizhi (Ray) Liao's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Contributed to 'Polyglot: A Mixed-Initiative System for Extracting, Managing, and Utilizing Examples in UI Development,' presented at the ACM Symposium on User Interface Software and Technology (UIST) 2022, a premier forum for innovations in HCI.
Key contributor to 'ChartStory: Automated Partitioning, Layout, and Captioning of Scatterplots into Comic-Style Narratives,' published in IEEE Transactions on Visualization and Computer Graphics and presented at IEEE VIS (InfoVis) 2021, a leading conference in visualization.
Completed a research internship at Microsoft Research Asia, contributing to projects at the forefront of AI and HCI research, gaining experience in an industry-leading research environment.
Has a growing list of publications in highly respected conferences and journals such as UIST, IEEE VIS (InfoVis/VAST), CHI, and IUI, demonstrating significant contributions to the field.
Currently pursuing a Doctor of Philosophy degree at Georgia Institute of Technology, focusing on Human-Computer Interaction under the guidance of renowned faculty, contributing to cutting-edge research.
Massachusetts Institute of Technology - Year 2015
Tsinghua University - Year 2011
University of Wisconsin-Madison - Year 2013
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