MVF Designer: Design and Visualization of Morse Vector Fields. - Youjia Zhou; Janis Lazovskis; Michael J. Catanzaro; Matthew Zabka; Bei Wang 001 (CoRR, 2019)

Visual Demo of Discrete Stratified Morse Theory (Media Exposition). - Youjia Zhou; Kevin P. Knudson; Bei Wang 001 (SoCG, 2020)

Interpreting Graph Drawing with Multi-Agent Reinforcement Learning. - Ilkin Safarli; Youjia Zhou; Bei Wang 001 (CoRR, 2020)

Mapper 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 001 (PacificVis, 2021)

Pheno-mapper: an interactive toolbox for the visual exploration of phenomics data. - Youjia Zhou; Methun Kamruzzaman; Patrick S. Schnable; Bala Krishnamoorthy; Ananth Kalyanaraman; Bei Wang 001 (BCB, 2021)

Adaptive Covers for Mapper Graphs Using Information Criteria. - Nithin Chalapathi; Youjia Zhou; Bei Wang 001 (IEEE BigData, 2021)

Stitch Fix for Mapper and Information Gains. - Youjia Zhou; Nathaniel Saul; Ilkin Safarli; Bala Krishnamoorthy; Bei Wang 001 (CoRR, 2021)

The Potential Role of RNA "Writer" TRMT61B in the Immune Regulation of Breast Cancer. - Puzhen Wu; Youjia Zhou; Wenting Luo; Longyuan Wu (BECB, 2022)

Reduced Connectivity for Local Bilinear Jacobi Sets. - Daniel Klötzl; Tim Krake; Youjia Zhou; Jonathan Stober; Kathrin Schulte; Ingrid Hotz; Bei Wang 001; Daniel Weiskopf (CoRR, 2022)

Local bilinear computation of Jacobi sets. - Daniel Klötzl; Tim Krake; Youjia Zhou; Ingrid Hotz; Bei Wang 001; Daniel Weiskopf (Vis. Comput., 2022)

Experimental Observations of the Topology of Convolutional Neural Network Activations. - Emilie Purvine; Davis Brown; Brett A. Jefferson; Cliff A. Joslyn; Brenda Praggastis; Archit Rathore; Madelyn Shapiro; Bei Wang 001; Youjia Zhou (AAAI, 2023)

Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial Training. - Youjia Zhou; Yi Zhou 017; Jie Ding 002; Bei Wang 001 (TAG-ML, 2023)

Topological Simplifications of Hypergraphs. - Youjia Zhou; Archit Rathore; Emilie Purvine; Bei Wang 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Exploring Visualization for Fairness in AI Education. - Xinyuan Yan; Youjia Zhou; Arul Mishra; Himanshu Mishra; Bei Wang 001 (PacificVis, 2024)

Hypergraph co-optimal transport: metric and categorical properties. - Samir Chowdhury 001; Tom Needham; Ethan Semrad; Bei Wang 001; Youjia Zhou (J. Appl. Comput. Topol., 2024)