Youjia Zhou

Youjia Zhou



Ph.D. student in Computing, School of Computing
Graduate Research Assistant, Scientific Computing and Imaging (SCI) Institute
University of Utah
Advisor : Dr. Bei Wang Phillips

Warnock Engineering Building (WEB) Room 4750
72 S Central Campus Dr.
Salt Lake City, UT 84112

Email: zhou325@sci.utah.edu

CV [March 2021] / GitHub / Google Scholar
Education
Ph.D. in Computing, University of Utah (2018 - Present)
M.S. in Statistics, University of Wisconsin-Madison (2017)
B.S. in Statistics, Renmin University of China (2016)
Research Interests
I am interested in data analysis and data visualization.
My research focuses on developing visual analytics systems for large and complex data, in particular, networks, high-dimensional point clouds, and vector/tensor fields.

My work couples interactive visual representations with topology-based analytical processes for sense-making. Most of my research projects are collaborative and interdisciplinary, where the resulting visual analytics systems are being applied to solve problems in biochemistry, bioengineering, applied and computational topology, network science, to name a few.
My vision is to build practical visual analytics systems that help scientists and mathematicians with their knowledge discovery process.
Talks
Invited Talk: Design and Visualization of Morse Vector Fields.
SIAM CSE Minisymposium: Emerging Directions in Computational Topology, 2021.
Publications
Preprints / Manuscripts
PDF Gazing Into the Metaboverse: Automated Exploration and Contextualization of Metabolic Data.
Jordan A. Berg, Youjia Zhou, T. Cameron Waller, Yeyun Ouyang, Sara M. Nowinski, Tyler Van Ry, Ian George, James E. Cox, Bei Wang, Jared Rutter.
Manuscript in revision, 2020.
bioRxiv:10.1101/2020.06.25.171850v1
PDFMVF Designer: Design and Visualization of Morse Vector Fields.
Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang.
Manuscript in revision, 2019.
arXiv:1912.09580
Conference Publications
PDFMapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data.
Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang.
IEEE Pacific Visualization Symposium (PacificVis), 2021.
arXiv:2011.03209
PDFVisual Demo of Discrete Stratified Morse Theory (Media Exposition).
Youjia Zhou, Kevin Knudson, Bei Wang.
International Symposium on Computational Geometry (SoCG), 2020.
DOI: 10.4230/LIPIcs.SoCG.2020.82
Posters
PDFA Visual Exploration and Design of Morse Vector Fields (Abstract).
Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang.
Algebraic Topology: Methods, Computation, & Science (ATMCS), 2020.
PDFPersistence-Driven Design and Visualization of Morse Vector Fields (Extended Abstract).
Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang.
China Visualization and Visual Analytics Conference (ChinaVis), 2019.
Best Poster Award at ChinaVis 2019!