Bei Wang

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 117

Top Venues

CoRR

IEEE Trans. Vis. Comput. Graph.

Comput. Graph. Forum

PacificVis

Publications

Fangfei Lan, Brandi Gamelin, Lin Yan, Jiali Wang, Bei Wang, Hanqi Guo
Topological Characterization and Uncertainty Visualization of Atmospheric Rivers. Comput. Graph. Forum 43 (3) (2024)
Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Peter Rottmann, Peter J. Rodgers, Xinyuan Yan, Daniel Archambault, Bei Wang, Jan-Henrik Haunert
Generating Euler Diagrams Through Combinatorial Optimization. Comput. Graph. Forum 43 (3) (2024)
Qingsong Wang, Guanquan Ma, Raghavendra Sridharamurthy, Bei Wang
Measure Theoretic Reeb Graphs and Reeb Spaces. CoRR (2024)
Qingsong Wang, Guanqun Ma, Raghavendra Sridharamurthy, Bei Wang
Measure-Theoretic Reeb Graphs and Reeb Spaces. SoCG (2024)
Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR (2024)
Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks. PacificVis (2024)
Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar
In-Context Example Ordering Guided by Label Distributions. CoRR (2024)
Xinyuan Yan, Youjia Zhou, Arul Mishra, Himanshu Mishra, Bei Wang
Exploring Visualization for Fairness in AI Education. PacificVis (2024)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Trans. Interact. Intell. Syst. 14 (1) (2024)
Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Youjia Zhou, Yi Zhou, Jie Ding, Bei Wang
Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial Training. TAG-ML (2023)
Ulrich Bauer, Vijay Natarajan, Bei Wang
Topological Data Analysis and Applications (Dagstuhl Seminar 23192). Dagstuhl Reports 13 (5) (2023)
Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel, Bei Wang, Hanqi Guo
Multilevel Robustness for 2D Vector Field Feature Tracking, Selection and Comparison. Comput. Graph. Forum 42 (6) (2023)
Mingzhe Li, Carson Storm, Austin Yang Li, Tom Needham, Bei Wang
Comparing Morse Complexes Using Optimal Transport: An Experimental Study. IEEE VIS (Short Papers) (2023)
Fangfei Lan, Salman Parsa, Bei Wang
Labeled Interleaving Distance for Reeb Graphs. CoRR (2023)
Erin W. Chambers, Elizabeth Munch, Sarah Percival, Bei Wang
Bounding the Interleaving Distance for Geometric Graphs with a Loss Function. CoRR (2023)
Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
Experimental Observations of the Topology of Convolutional Neural Network Activations. AAAI (2023)
Xinyuan Yan, Peter Rodgers, Peter Rottmann, Daniel Archambault, Jan-Henrik Haunert, Bei Wang
EulerMerge: Simplifying Euler Diagrams Through Set Merges. CoRR (2023)
Archit Rathore, Yichu Zhou, Vivek Srikumar, Bei Wang
TopoBERT: Exploring the topology of fine-tuned word representations. Inf. Vis. 22 (3) (2023)
Lin Yan, Talha Bin Masood, Farhan Rasheed, Ingrid Hotz, Bei Wang
Geometry-Aware Merge Tree Comparisons for Time-Varying Data With Interleaving Distances. IEEE Trans. Vis. Comput. Graph. 29 (8) (2023)
Youjia Zhou, Archit Rathore, Emilie Purvine, Bei Wang
Topological Simplifications of Hypergraphs. IEEE Trans. Vis. Comput. Graph. 29 (7) (2023)
Mingzhe Li, Xinyuan Yan, Lin Yan, Tom Needham, Bei Wang
Flexible and Probabilistic Topology Tracking with Partial Optimal Transport. CoRR (2023)
Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
Experimental Observations of the Topology of Convolutional Neural Network Activations. CoRR (2022)
Bhavana Doppalapudi, Bei Wang, Paul Rosen
Untangling Force-Directed Layouts Using Persistent Homology. CoRR (2022)
Fangfei Lan, Sourabh Palande, Michael Young, Bei Wang
Uncertainty Visualization for Graph Coarsening. Big Data (2022)
Kevin P. Knudson, Bei Wang
Discrete Stratified Morse Theory. Discret. Comput. Geom. 67 (4) (2022)
Tushar M. Athawale, Dan Maljovec, Lin Yan, Chris R. Johnson, Valerio Pascucci, Bei Wang
Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps. IEEE Trans. Vis. Comput. Graph. 28 (4) (2022)
Daniel Klötzl, Tim Krake, Youjia Zhou, Jonathan Stober, Kathrin Schulte, Ingrid Hotz, Bei Wang, Daniel Weiskopf
Reduced Connectivity for Local Bilinear Jacobi Sets. CoRR (2022)
Daniel Klötzl, Tim Krake, Youjia Zhou, Ingrid Hotz, Bei Wang, Daniel Weiskopf
Local bilinear computation of Jacobi sets. Vis. Comput. 38 (9) (2022)
Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang
The SVD of Convolutional Weights: A CNN Interpretability Framework. CoRR (2022)
Adam Brown, Omer Bobrowski, Elizabeth Munch, Bei Wang
Probabilistic convergence and stability of random mapper graphs. J. Appl. Comput. Topol. 5 (1) (2021)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. CoRR (2021)
Nithin Chalapathi, Youjia Zhou, Bei Wang
Adaptive Covers for Mapper Graphs Using Information Criteria. IEEE BigData (2021)
Fangfei Lan, Michael Young, Lauren Anderson, Anders Ynnerman, Alexander Bock, Michelle A. Borkin, Angus G. Forbes, Juna A. Kollmeier, Bei Wang
Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth. Comput. Graph. Forum 40 (3) (2021)
Youjia Zhou, Methun Kamruzzaman, Patrick S. Schnable, Bala Krishnamoorthy, Ananth Kalyanaraman, Bei Wang
Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data. CoRR (2021)
Samir Chowdhury, Tom Needham, Ethan Semrad, Bei Wang, Youjia Zhou
Hypergraph Co-Optimal Transport: Metric and Categorical Properties. CoRR (2021)
Fangfei Lan, Michael Young, Lauren Anderson, Anders Ynnerman, Alexander Bock, Michelle A. Borkin, Angus G. Forbes, Juna A. Kollmeier, Bei Wang
Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth. CoRR (2021)
Avishan Bagherinezhad, Michael Young, Bei Wang, Masood Parvania
Spatio-Temporal Visualization of Interdependent Battery Bus Transit and Power Distribution Systems. ISGT (2021)
Tushar M. Athawale, Alireza Entezari, Bei Wang, Chris R. Johnson
Statistical Rendering for Visualization of Red Sea Eddy Simulation Data. CoRR (2021)
Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data. PacificVis (2021)
Youjia Zhou, Methun Kamruzzaman, Patrick S. Schnable, Bala Krishnamoorthy, Ananth Kalyanaraman, Bei Wang
Pheno-mapper: an interactive toolbox for the visual exploration of phenomics data. BCB (2021)
Mingzhe Li, Sourabh Palande, Bei Wang
Sketching Merge Trees. CoRR (2021)
Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang
TopoAct: Visually Exploring the Shape of Activations in Deep Learning. Comput. Graph. Forum 40 (1) (2021)
Lin Yan, Talha Bin Masood, Raghavendra Sridharamurthy, Farhan Rasheed, Vijay Natarajan, Ingrid Hotz, Bei Wang
Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization. CoRR (2021)
Lin Yan, Talha Bin Masood, Farhan Rasheed, Ingrid Hotz, Bei Wang
Geometry-Aware Merge Tree Comparisons for Time-Varying Data with Interleaving Distances. CoRR (2021)
Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. NeurIPS (Competition and Demos) (2021)
Lin Yan, Talha Bin Masood, Raghavendra Sridharamurthy, Farhan Rasheed, Vijay Natarajan, Ingrid Hotz, Bei Wang
Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization. Comput. Graph. Forum 40 (3) (2021)
Youjia Zhou, Archit Rathore, Emilie Purvine, Bei Wang
Topological Simplifications of Hypergraphs. CoRR (2021)
Adam Brown, Bei Wang
Sheaf-Theoretic Stratification Learning from Geometric and Topological Perspectives. Discret. Comput. Geom. 65 (4) (2021)
Youjia Zhou, Nathaniel Saul, Ilkin Safarli, Bala Krishnamoorthy, Bei Wang
Stitch Fix for Mapper and Information Gains. CoRR (2021)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang
A Visual Tour of Bias Mitigation Techniques for Word Representations. KDD (2021)
Youjia Zhou, Kevin P. Knudson, Bei Wang
Visual Demo of Discrete Stratified Morse Theory (Media Exposition). SoCG (2020)
Han Han, Konstantinos Oikonomou, Nithin Chalapathi, Masood Parvania, Bei Wang
Interactive Visualization of Interdependent Power and Water Infrastructure Operation. ISGT (2020)
Yuan Wang, Bei Wang
Topological inference of manifolds with boundary. Comput. Geom. 88 (2020)
Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data. CoRR (2020)
Michael J. Catanzaro, Justin M. Curry, Brittany Terese Fasy, Janis Lazovskis, Greg Malen, Hans Riess, Bei Wang, Matthew Zabka
Moduli spaces of morse functions for persistence. J. Appl. Comput. Topol. 4 (3) (2020)
Braxton Osting, Sourabh Palande, Bei Wang
Spectral sparsification of simplicial complexes for clustering and label propagation. J. Comput. Geom. 11 (1) (2020)
Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
Persistent Homology Guided Force-Directed Graph Layouts. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Roxana Bujack, Lin Yan, Ingrid Hotz, Christoph Garth, Bei Wang
State of the Art in Time-Dependent Flow Topology: Interpreting Physical Meaningfulness Through Mathematical Properties. Comput. Graph. Forum 39 (3) (2020)
Avishan Bagherinezhad, Michael Young, Bei Wang, Masood Parvania
Spatio-Temporal Visualization of Interdependent Battery Bus Transit and Power Distribution Systems. CoRR (2020)
Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
On homotopy types of Vietoris-Rips complexes of metric gluings. J. Appl. Comput. Topol. 4 (3) (2020)
Ilkin Safarli, Youjia Zhou, Bei Wang
Interpreting Graph Drawing with Multi-Agent Reinforcement Learning. CoRR (2020)
Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, Bei Wang
A Structural Average of Labeled Merge Trees for Uncertainty Visualization. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Adam Brown, Omer Bobrowski, Elizabeth Munch, Bei Wang
Probabilistic Convergence and Stability of Random Mapper Graphs. CoRR (2019)
Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, Bei Wang
A Structural Average of Labeled Merge Trees for Uncertainty Visualization. CoRR (2019)
Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang
Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference. Brain Connect. 9 (1) (2019)
Ellen Gasparovic, Elizabeth Munch, Steve Oudot, Katharine Turner, Bei Wang, Yusu Wang
Intrinsic Interleaving Distance for Merge Trees. CoRR (2019)
Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
The relationship between the intrinsic Čech and persistence distortion distances for metric graphs. J. Comput. Geom. 10 (1) (2019)
Michael Kerber, Vijay Natarajan, Bei Wang
Topology, Computation and Data Analysis (Dagstuhl Seminar 19212). Dagstuhl Reports 9 (5) (2019)
Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
Local Versus Global Distances for Zigzag Persistence Modules. CoRR (2019)
Ingrid Hotz, Roxana Bujack, Christoph Garth, Bei Wang
Mathematical Foundations in Visualization. CoRR (2019)
Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang
TopoAct: Exploring the Shape of Activations in Deep Learning. CoRR (2019)
Tushar M. Athawale, Dan Maljovec, Chris R. Johnson, Valerio Pascucci, Bei Wang
Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps. CoRR (2019)
Jochen Jankowai, Bei Wang, Ingrid Hotz
Robust Extraction and Simplification of 2D Symmetric Tensor Field Topology. Comput. Graph. Forum 38 (3) (2019)
Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang
MVF Designer: Design and Visualization of Morse Vector Fields. CoRR (2019)
René Corbet, Ulderico Fugacci, Michael Kerber, Claudia Landi, Bei Wang
A kernel for multi-parameter persistent homology. Comput. Graph. X 2 (2019)
Archit Rathore, Sourabh Palande, Jeffrey S. Anderson, Brandon A. Zielinski, P. Thomas Fletcher, Bei Wang
Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale. MICCAI (3) (2019)
Keri L. Anderson, Jeffrey S. Anderson, Sourabh Palande, Bei Wang
Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains. CNI@MICCAI (2018)
Adam Brown, Bei Wang
Sheaf-Theoretic Stratification Learning. SoCG (2018)
Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology. PacificVis (2018)
Lin Yan, Yaodong Zhao, Paul Rosen, Carlos Scheidegger, Bei Wang
Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing. CoRR (2018)
Kevin P. Knudson, Bei Wang
Discrete Stratified Morse Theory: A User's Guide. CoRR (2018)
Mustafa Hajij, Bei Wang, Paul Rosen
MOG: Mapper on Graphs for Relationship Preserving Clustering. CoRR (2018)
Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
The Relationship Between the Intrinsic Cech and Persistence Distortion Distances for Metric Graphs. CoRR (2018)
Kevin P. Knudson, Bei Wang
Discrete Stratified Morse Theory: A User's Guide. SoCG (2018)
Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
Vietoris-Rips and Cech Complexes of Metric Gluings. SoCG (2018)
René Corbet, Ulderico Fugacci, Michael Kerber, Claudia Landi, Bei Wang
A Kernel for Multi-Parameter Persistent Homology. CoRR (2018)
Shusen Liu, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Vivek Srikumar, Bei Wang, Yarden Livnat, Valerio Pascucci
Visual Exploration of Semantic Relationships in Neural Word Embeddings. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
Driving Interactive Graph Exploration Using 0-Dimensional Persistent Homology Features. CoRR (2017)
William I. Gasarch, Brittany Terese Fasy, Bei Wang
Open Problems in Computational Topology. SIGACT News 48 (3) (2017)
Paul Rosen, Bei Wang, Anil Seth, Betsy Mills, Adam Ginsburg, Julia Kamenetzky, Jeff Kern, Chris R. Johnson
Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes. CoRR (2017)
Braxton Osting, Sourabh Palande, Bei Wang
Towards Spectral Sparsification of Simplicial Complexes Based on Generalized Effective Resistance. CoRR (2017)
Hamish A. Carr, Michael Kerber, Bei Wang
Topology, Computation and Data Analysis (Dagstuhl Seminar 17292). Dagstuhl Reports 7 (7) (2017)
Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
Persistent Homology Guided Exploration of Time-Varying Graphs. CoRR (2017)
Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci
Visualizing High-Dimensional Data: Advances in the Past Decade. IEEE Trans. Vis. Comput. Graph. 23 (3) (2017)
Wathsala Widanagamaachchi, Alexander Jacques, Bei Wang, Erik Crosman, Peer-Timo Bremer, Valerio Pascucci, John D. Horel
Exploring the evolution of pressure-perturbations to understand atmospheric phenomena. PacificVis (2017)
Adam Brown, Bei Wang
Sheaf-Theoretic Stratification Learning. CoRR (2017)
Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang
Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference. CNI@MICCAI (2017)
Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
Vietoris-Rips and Cech Complexes of Metric Gluings. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bei Wang