ORCID iD: 0000-0002-8057-3997
Scopus Author ID: 57212027033
Google Scholar Profile: 2cTSUsQAAAAJ

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Xiaoyu Zhang is a researcher at the intersection of computer science and art design. Her research interests broadly encompass data visualization, visual analytics, human-computer interaction (HCI), human-AI collaboration and explainable AI. She particularly focuses on integrating data visualization and artificial intelligence (AI), especially natural language processing (NLP), to explore and exploit knowledge for varies applications in education, smart manufacturing, and human well-being.

Xiaoyu’s work has been published at top-tier venues such as IEEE TVCG, IEEE VIS, ACM CHI, ACM IUI, IEEE PacificVis, ACL. She also received the Honorable Mention Best Paper Award at IEEE VIS 2022 and has been granted multiple US patents. Xiaoyu has been recognized as the Best Graduate Researcher in the Department of Computer Science at UC Davis. She also served on the organization committee of AI and the Future Factory at AI House Davos 2024 and the 6th Workshop on Visualization for AI Explainability at IEEE VIS 2023.

Before joining SCM, Xiaoyu was a Postdoctoral Fellow at the ETH AI Center, ETH Zurich. She received her Ph.D. degree in Computer Science from University of California, Davis, her Master’s degree in Computer Science from Zhejiang University, and her bachelor’s degrees in Digital Media Art (Major) and Advertising (Minor) from Xiamen University. In addition to her academic pursuits, Xiaoyu has profound industrial internship and collaboration experience with leading organizations such as Meta, Microsoft Research Asia, Bosch Research, Netease Games, EthonAI, and the US National Institute of Standards and Technology (NIST).