Youjia Zhou

20 papers A* 2B 2Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2024 B conf
Exploring Visualization for Fairness in AI Education.
PacificVis
Xinyuan Yan, Youjia Zhou, Arul Mishra, Himanshu Mishra, Bei Wang
2024 J jnl
Hypergraph co-optimal transport: metric and categorical properties.
J. Appl. Comput. Topol.
Samir Chowdhury, Tom Needham, Ethan Semrad, Bei Wang, Youjia Zhou
2023 A* conf
Experimental Observations of the Topology of Convolutional Neural Network Activations.
AAAI
Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
2023 J jnl
Topological Simplifications of Hypergraphs.
IEEE Trans. Vis. Comput. Graph.
Youjia Zhou, Archit Rathore, Emilie Purvine, Bei Wang
2023 — conf
Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial Training.
TAG-ML
Youjia Zhou, Yi Zhou, Jie Ding, Bei Wang
2022 J jnl
Experimental Observations of the Topology of Convolutional Neural Network Activations.
CoRR
Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
2022 J jnl
Local bilinear computation of Jacobi sets.
Vis. Comput.
Daniel Klötzl, Tim Krake, Youjia Zhou, Ingrid Hotz, Bei Wang, Daniel Weiskopf
2022 J jnl
Reduced Connectivity for Local Bilinear Jacobi Sets.
CoRR
Daniel Klötzl, Tim Krake, Youjia Zhou, Jonathan Stober, Kathrin Schulte, Ingrid Hotz, Bei Wang, Daniel Weiskopf
2022 — conf
The Potential Role of RNA "Writer" TRMT61B in the Immune Regulation of Breast Cancer.
BECB
Puzhen Wu, Youjia Zhou, Wenting Luo, Longyuan Wu
2021 — conf
Adaptive Covers for Mapper Graphs Using Information Criteria.
IEEE BigData
Nithin Chalapathi, Youjia Zhou, Bei Wang
2021 J jnl
Hypergraph Co-Optimal Transport: Metric and Categorical Properties.
CoRR
Samir Chowdhury, Tom Needham, Ethan Semrad, Bei Wang, Youjia Zhou
2021 B conf
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data.
PacificVis
Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang
2021 J jnl
Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data.
CoRR
Youjia Zhou, Methun Kamruzzaman, Patrick S. Schnable, Bala Krishnamoorthy, Ananth Kalyanaraman, Bei Wang
2021 — conf
Pheno-mapper: an interactive toolbox for the visual exploration of phenomics data.
BCB
Youjia Zhou, Methun Kamruzzaman, Patrick S. Schnable, Bala Krishnamoorthy, Ananth Kalyanaraman, Bei Wang
2021 J jnl
Stitch Fix for Mapper and Information Gains.
CoRR
Youjia Zhou, Nathaniel Saul, Ilkin Safarli, Bala Krishnamoorthy, Bei Wang
2021 J jnl
Topological Simplifications of Hypergraphs.
CoRR
Youjia Zhou, Archit Rathore, Emilie Purvine, Bei Wang
2020 J jnl
Interpreting Graph Drawing with Multi-Agent Reinforcement Learning.
CoRR
Ilkin Safarli, Youjia Zhou, Bei Wang
2020 J jnl
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data.
CoRR
Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang
2020 A* conf
Visual Demo of Discrete Stratified Morse Theory (Media Exposition).
SoCG
Youjia Zhou, Kevin P. Knudson, Bei Wang
2019 J jnl
MVF Designer: Design and Visualization of Morse Vector Fields.
CoRR
Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang