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


CV [Sep 2021] / GitHub / Google Scholar
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.
Invited Talk: Design and Visualization of Morse Vector Fields.
SIAM CSE Minisymposium: Emerging Directions in Computational Topology, 2021.
Preprints / Manuscripts
PDF Topological Simplifications of Hypergraphs.
Youjia Zhou, Archit Rathore, Emilie Purvine, Bei Wang.
Manuscript, 2021.
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, 2020.
PDF Interpreting Graph Drawing with Multi-Agent Reinforcement Learning.
Ilkin Safarli, Youjia Zhou, Bei Wang.
Manuscript in revision, 2020.
PDFMVF Designer: Design and Visualization of Morse Vector Fields.
Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang.
Manuscript in revision, 2019.
PDF Stitch Fix for Mapper and Topological Gains.
Youjia Zhou, Nathaniel Saul, Ilkin Safarli, Bala Krishnamoorthy, Bei Wang.
Research in Computational Topology 2, accepted, 2021.
arXiv:2105.01961 [Code]
PDFPheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data.
Youjia Zhou, Methun Kamruzzaman, Patrick Schnable, Bala Krishnamoorthy, Ananth Kalyanaraman, Bei Wang.
Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), Article No. 20, pages 1-10, 2021.
DOI: 10.1145/3459930.3469511 [Video] [Code]
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 14th Pacific Visualization Symposium (PacificVis), pages 101-110, 2021.
DOI: 10.1109/PacificVis52677.2021.00021 [Video] [Code]
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 [Video] [Code]
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!