Bei Wang - RankMe

191 papers A* 15A 1B 13C 1Misc 1Journal 136Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey of simplicial, relative, and chain complex homology theories for hypergraphs. J. Appl. Comput. Topol. Ellen Gasparovic, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
2026	J	`jnl`	Measure-Theoretic Reeb Graphs and Reeb Spaces. Discret. Comput. Geom. Qingsong Wang, Guanqun Ma, Raghavendra Sridharamurthy, Bei Wang
2026	J	`jnl`	SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents. CoRR Kuangshi Ai, Haichao Miao, Kaiyuan Tang, Nathaniel Gorski, Jianxin Sun, Guoxi Liu, Helgi I. Ingólfsson, David Lenz, Hanqi Guo, Hongfeng Yu, Teja Leburu, Michael Molash, Bei Wang, Tom Peterka, Chaoli Wang, Shusen Liu
2026	J	`jnl`	TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields. IEEE Trans. Vis. Comput. Graph. Nathaniel Gorski, Xin Liang, Hanqi Guo, Bei Wang
2026	J	`jnl`	pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression. CoRR Yuxiao Li, Mingze Xia, Xin Liang, Bei Wang, Robert Underwood, Sheng Di, Hemant Sharma, Dishant Beniwal, Franck Cappello, Hanqi Guo
2025	J	`jnl`	A General Framework for Augmenting Lossy Compressors With Topological Guarantees. IEEE Trans. Vis. Comput. Graph. Nathaniel Gorski, Xin Liang, Hanqi Guo, Lin Yan, Bei Wang
2025	J	`jnl`	A General Framework for Augmenting Lossy Compressors with Topological Guarantees. CoRR Nathaniel Gorski, Xin Liang, Hanqi Guo, Lin Yan, Bei Wang
2025	J	`jnl`	A Survey of Model Architectures in Information Retrieval. CoRR Zhichao Xu, Fengran Mo, Zhiqi Huang, Crystina Zhang, Puxuan Yu, Bei Wang, Jimmy Lin, Vivek Srikumar
2025	J	`jnl`	Bounding the interleaving distance for mapper graphs with a loss function. J. Appl. Comput. Topol. Erin Wolf Chambers, Elizabeth Munch, Sarah Percival, Bei Wang
2025	J	`jnl`	Distributed Augmentation, Hypersweeps, and Branch Decomposition of Contour Trees for Scientific Exploration. IEEE Trans. Vis. Comput. Graph. Mingzhe Li, Hamish A. Carr, Oliver Rübel, Bei Wang, Gunther H. Weber
2025	J	`jnl`	Effective Resistance in Simplicial Complexes as Bilinear Forms: Generalizations and Properties. CoRR Inés García-Redondo, Claudia Landi, Sarah Percival, Anda Skeja, Bei Wang, Ling Zhou
2025	—	`conf`	Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs. LDAV Guanqun Ma, David Lenz, Hanqi Guo, Tom Peterka, Bei Wang
2025	J	`jnl`	Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs. CoRR Guanqun Ma, David Lenz, Hanqi Guo, Tom Peterka, Bei Wang
2025	—	`conf`	Extremely Scalable Distributed Computation of Contour Trees via Pre-Simplification. LDAV Mingzhe Li, Hamish A. Carr, Oliver Rübel, Bei Wang, Gunther H. Weber
2025	J	`jnl`	Extremely Scalable Distributed Computation of Contour Trees via Pre-Simplification. CoRR Mingzhe Li, Hamish A. Carr, Oliver Rübel, Bei Wang, Gunther H. Weber
2025	J	`jnl`	Fast Comparative Analysis of Merge Trees Using Locality Sensitive Hashing. IEEE Trans. Vis. Comput. Graph. Weiran Lyu, Raghavendra Sridharamurthy, Jeff M. Phillips, Bei Wang
2025	J	`jnl`	Finding the Cores of Higher Graphs Using Geometric and Topological Means: A Survey. CoRR Inés García-Redondo, Claudia Landi, Sarah Percival, Anda Skeja, Bei Wang, Ling Zhou
2025	J	`jnl`	Flexible and Probabilistic Topology Tracking With Partial Optimal Transport. IEEE Trans. Vis. Comput. Graph. Mingzhe Li, Xinyuan Yan, Lin Yan, Tom Needham, Bei Wang
2025	J	`jnl`	Interpreting and generalizing deep learning in physics-based problems with functional linear models. Eng. Comput. Amirhossein Arzani, Lingxiao Yuan, Pania Newell, Bei Wang
2025	J	`jnl`	MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors. IEEE Trans. Vis. Comput. Graph. Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, Hanqi Guo
2025	J	`jnl`	Meta-Diagrams for 2-Parameter Persistence. Discret. Comput. Geom. Nate Clause, Tamal K. Dey, Facundo Mémoli, Bei Wang
2025	J	`jnl`	Metrics for Parametric Families of Networks. CoRR Mario Gómez, Guanqun Ma, Tom Needham, Bei Wang
2025	J	`jnl`	Strategic bi-objective optimization for electric vehicle fleet replacement leveraging shared charging facilities. Comput. Environ. Urban Syst. Shouzheng Pan, Ran Wei, Xiaoyue Cathy Liu, Jeff M. Phillips, Bei Wang
2025	J	`jnl`	TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields. CoRR Nathaniel Gorski, Xin Liang, Hanqi Guo, Bei Wang
2025	J	`jnl`	Time-varying Vector Field Compression with Preserved Critical Point Trajectories. CoRR Mingze Xia, Yuxiao Li, Pu Jiao, Bei Wang, Xin Liang, Hanqi Guo
2025	J	`jnl`	Towards an Optimal Bound for the Interleaving Distance on Mapper Graphs. CoRR Erin Wolf Chambers, Ishika Ghosh, Elizabeth Munch, Sarah Percival, Bei Wang
2025	A*	`conf`	Tracking the Persistence of Harmonic Chains: Barcode and Stability. SoCG Tao Hou, Salman Parsa, Bei Wang
2025	A*	`conf`	TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation. ICDE Mingze Xia, Bei Wang, Yuxiao Li, Pu Jiao, Xin Liang, Hanqi Guo
2025	J	`jnl`	VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis. CoRR Xinyuan Yan, Xiwei Xuan, Jorge Piazentin Ono, Jiajing Guo, Vikram Mohanty, Arvind Kumar Shekar, Liang Gou, Bei Wang, Liu Ren
2024	—	`ed.`	26th Eurographics Conference on Visualization, EuroVis 2024 - Short Papers, Odense, Denmark, May 27-31, 2024 EuroVis (Short Papers) Christian Tominski, Manuela Waldner, Bei Wang
2024	—	`conf`	Critical Point Extraction from Multivariate Functional Approximation. TopoInVis@VIS Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang
2024	J	`jnl`	Critical Point Extraction from Multivariate Functional Approximation. CoRR Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang
2024	J	`jnl`	Distributed Augmentation, Hypersweeps, and Branch Decomposition of Contour Trees for Scientific Exploration. CoRR Mingzhe Li, Hamish A. Carr, Oliver Rübel, Bei Wang, Gunther H. Weber
2024	C	`conf`	EulerMerge: Simplifying Euler Diagrams Through Set Merges. Diagrams Xinyuan Yan, Peter Rodgers, Peter Rottmann, Daniel Archambault, Jan-Henrik Haunert, Bei Wang
2024	B	`conf`	Exploring Visualization for Fairness in AI Education. PacificVis Xinyuan Yan, Youjia Zhou, Arul Mishra, Himanshu Mishra, Bei Wang
2024	J	`jnl`	Fast Comparative Analysis of Merge Trees Using Locality Sensitive Hashing. CoRR Weiran Lyu, Raghavendra Sridharamurthy, Jeff M. Phillips, Bei Wang
2024	J	`jnl`	Generating Euler Diagrams Through Combinatorial Optimization. Comput. Graph. Forum Peter Rottmann, Peter J. Rodgers, Xinyuan Yan, Daniel Archambault, Bei Wang, Jan-Henrik Haunert
2024	J	`jnl`	Harmonic Chain Barcode and Stability. CoRR Salman Parsa, 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
2024	—	`conf`	In-Context Example Ordering Guided by Label Distributions. NAACL-HLT (Findings) Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar
2024	J	`jnl`	In-Context Example Ordering Guided by Label Distributions. CoRR Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar
2024	B	`conf`	Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks. PacificVis Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson
2024	J	`jnl`	Labeled interleaving distance for Reeb graphs. J. Appl. Comput. Topol. Fangfei Lan, Salman Parsa, Bei Wang
2024	J	`jnl`	MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors. CoRR Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, Hanqi Guo
2024	J	`jnl`	Measure Theoretic Reeb Graphs and Reeb Spaces. CoRR Qingsong Wang, Guanquan Ma, Raghavendra Sridharamurthy, Bei Wang
2024	A*	`conf`	Measure-Theoretic Reeb Graphs and Reeb Spaces. SoCG Qingsong Wang, Guanqun Ma, Raghavendra Sridharamurthy, Bei Wang
2024	J	`jnl`	Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression. CoRR Yuxiao Li, Xin Liang, Bei Wang, Hanqi Guo
2024	J	`jnl`	Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. 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
2024	A*	`conf`	Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, 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
2024	J	`jnl`	TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones. IEEE Trans. Vis. Comput. Graph. Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang
2024	J	`jnl`	TopoSZ: Preserving Topology in Error-Bounded Lossy Compression. IEEE Trans. Vis. Comput. Graph. Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
2024	J	`jnl`	Topological Characterization and Uncertainty Visualization of Atmospheric Rivers. Comput. Graph. Forum Fangfei Lan, Brandi Gamelin, Lin Yan, Jiali Wang, Bei Wang, Hanqi Guo
2024	J	`jnl`	VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Trans. Interact. Intell. Syst. Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2023	—	`ed.`	25th Eurographics Conference on Visualization, EuroVis 2023 - Short Papers, Leipzig, Germany, June 12-16, 2023 EuroVis (Short Papers) Thomas Höllt, Wolfgang Aigner, Bei Wang
2023	J	`jnl`	Bounding the Interleaving Distance for Geometric Graphs with a Loss Function. CoRR Erin W. Chambers, Elizabeth Munch, Sarah Percival, Bei Wang
2023	—	`conf`	Comparing Morse Complexes Using Optimal Transport: An Experimental Study. IEEE VIS (Short Papers) Mingzhe Li, Carson Storm, Austin Yang Li, Tom Needham, Bei Wang
2023	J	`jnl`	Comparing Morse Complexes Using Optimal Transport: An Experimental Study. CoRR Mingzhe Li, Carson Storm, Austin Yang Li, Tom Needham, Bei Wang
2023	J	`jnl`	EulerMerge: Simplifying Euler Diagrams Through Set Merges. CoRR Xinyuan Yan, Peter Rodgers, Peter Rottmann, Daniel Archambault, Jan-Henrik Haunert, Bei Wang
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	—	`conf`	Exploring Gradient Oscillation in Deep Neural Network Training. Allerton Chedi Morchdi, Yi Zhou, Jie Ding, Bei Wang
2023	J	`jnl`	Flexible and Probabilistic Topology Tracking with Partial Optimal Transport. CoRR Mingzhe Li, Xinyuan Yan, Lin Yan, Tom Needham, Bei Wang
2023	J	`jnl`	Geometry-Aware Merge Tree Comparisons for Time-Varying Data With Interleaving Distances. IEEE Trans. Vis. Comput. Graph. Lin Yan, Talha Bin Masood, Farhan Rasheed, Ingrid Hotz, Bei Wang
2023	J	`jnl`	Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks. CoRR Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson
2023	J	`jnl`	Interpreting and generalizing deep learning in physics-based problems with functional linear models. CoRR Amirhossein Arzani, Lingxiao Yuan, Pania Newell, Bei Wang
2023	J	`jnl`	Labeled Interleaving Distance for Reeb Graphs. CoRR Fangfei Lan, Salman Parsa, Bei Wang
2023	A*	`conf`	Meta-Diagrams for 2-Parameter Persistence. SoCG Nate Clause, Tamal K. Dey, Facundo Mémoli, Bei Wang
2023	J	`jnl`	Meta-Diagrams for 2-Parameter Persistence. CoRR Nate Clause, Tamal K. Dey, Facundo Mémoli, Bei Wang
2023	J	`jnl`	Multilevel Robustness for 2D Vector Field Feature Tracking, Selection and Comparison. Comput. Graph. Forum Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel, Bei Wang, Hanqi Guo
2023	J	`jnl`	TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones. CoRR Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang
2023	J	`jnl`	TopoBERT: Exploring the topology of fine-tuned word representations. Inf. Vis. Archit Rathore, Yichu Zhou, Vivek Srikumar, Bei Wang
2023	J	`jnl`	TopoSZ: Preserving Topology in Error-Bounded Lossy Compression. CoRR Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
2023	J	`jnl`	Topological Data Analysis and Applications (Dagstuhl Seminar 23192). Dagstuhl Reports Ulrich Bauer, Vijay Natarajan, Bei Wang
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`	Discrete Stratified Morse Theory. Discret. Comput. Geom. Kevin P. Knudson, 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	B	`conf`	Humans as Mitigators of Biases in Risk Prediction via Field Studies. IEEE Big Data Bei Wang, Arul Mishra, Himanshu Mishra
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`	Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison. CoRR Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel, Bei Wang, Hanqi Guo
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	J	`jnl`	The SVD of Convolutional Weights: A CNN Interpretability Framework. CoRR Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang
2022	B	`conf`	Uncertainty Visualization for Graph Coarsening. IEEE Big Data Fangfei Lan, Sourabh Palande, Michael Young, Bei Wang
2022	J	`jnl`	Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps. IEEE Trans. Vis. Comput. Graph. Tushar M. Athawale, Dan Maljovec, Lin Yan, Chris R. Johnson, Valerio Pascucci, Bei Wang
2022	J	`jnl`	Untangling Force-Directed Layouts Using Persistent Homology. CoRR Bhavana Doppalapudi, Bei Wang, Paul Rosen
2021	A*	`conf`	A Visual Tour of Bias Mitigation Techniques for Word Representations. KDD Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang
2021	—	`conf`	Adaptive Covers for Mapper Graphs Using Information Criteria. IEEE BigData Nithin Chalapathi, Youjia Zhou, Bei Wang
2021	—	`conf`	An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. NeurIPS (Competition and Demos) Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2021	J	`jnl`	Geometry-Aware Merge Tree Comparisons for Time-Varying Data with Interleaving Distances. CoRR Lin Yan, Talha Bin Masood, Farhan Rasheed, Ingrid Hotz, 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`	Probabilistic convergence and stability of random mapper graphs. J. Appl. Comput. Topol. Adam Brown, Omer Bobrowski, Elizabeth Munch, Bei Wang
2021	J	`jnl`	Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization. Comput. Graph. Forum Lin Yan, Talha Bin Masood, Raghavendra Sridharamurthy, Farhan Rasheed, Vijay Natarajan, Ingrid Hotz, Bei Wang
2021	J	`jnl`	Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization. CoRR Lin Yan, Talha Bin Masood, Raghavendra Sridharamurthy, Farhan Rasheed, Vijay Natarajan, Ingrid Hotz, Bei Wang
2021	J	`jnl`	Sheaf-Theoretic Stratification Learning from Geometric and Topological Perspectives. Discret. Comput. Geom. Adam Brown, Bei Wang
2021	J	`jnl`	Sketching Merge Trees. CoRR Mingzhe Li, Sourabh Palande, Bei Wang
2021	—	`conf`	Spatio-Temporal Visualization of Interdependent Battery Bus Transit and Power Distribution Systems. ISGT Avishan Bagherinezhad, Michael Young, Bei Wang, Masood Parvania
2021	J	`jnl`	Statistical Rendering for Visualization of Red Sea Eddy Simulation Data. CoRR Tushar M. Athawale, Alireza Entezari, Bei Wang, Chris R. Johnson
2021	J	`jnl`	Stitch Fix for Mapper and Information Gains. CoRR Youjia Zhou, Nathaniel Saul, Ilkin Safarli, Bala Krishnamoorthy, Bei Wang
2021	J	`jnl`	TopoAct: Visually Exploring the Shape of Activations in Deep Learning. Comput. Graph. Forum Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang
2021	J	`jnl`	Topological Simplifications of Hypergraphs. CoRR Youjia Zhou, Archit Rathore, Emilie Purvine, Bei Wang
2021	J	`jnl`	VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. CoRR Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
2021	J	`jnl`	Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth. Comput. Graph. Forum Fangfei Lan, Michael Young, Lauren Anderson, Anders Ynnerman, Alexander Bock, Michelle A. Borkin, Angus G. Forbes, Juna A. Kollmeier, Bei Wang
2021	J	`jnl`	Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth. CoRR Fangfei Lan, Michael Young, Lauren Anderson, Anders Ynnerman, Alexander Bock, Michelle A. Borkin, Angus G. Forbes, Juna A. Kollmeier, Bei Wang
2020	J	`jnl`	A Structural Average of Labeled Merge Trees for Uncertainty Visualization. IEEE Trans. Vis. Comput. Graph. Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, Bei Wang
2020	—	`conf`	Interactive Visualization of Interdependent Power and Water Infrastructure Operation. ISGT Han Han, Konstantinos Oikonomou, Nithin Chalapathi, Masood Parvania, 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	—	`ch.`	Mathematical Foundations in Visualization. Foundations of Data Visualization Ingrid Hotz, Roxana Bujack, Christoph Garth, Bei Wang
2020	J	`jnl`	Moduli spaces of morse functions for persistence. J. Appl. Comput. Topol. Michael J. Catanzaro, Justin Michael Curry, Brittany Terese Fasy, Janis Lazovskis, Greg Malen, Hans Riess, Bei Wang, Matthew Zabka
2020	J	`jnl`	On homotopy types of Vietoris-Rips complexes of metric gluings. J. Appl. Comput. Topol. Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
2020	J	`jnl`	Persistent Homology Guided Force-Directed Graph Layouts. IEEE Trans. Vis. Comput. Graph. Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
2020	J	`jnl`	Spatio-Temporal Visualization of Interdependent Battery Bus Transit and Power Distribution Systems. CoRR Avishan Bagherinezhad, Michael Young, Bei Wang, Masood Parvania
2020	J	`jnl`	Spectral sparsification of simplicial complexes for clustering and label propagation. J. Comput. Geom. Braxton Osting, Sourabh Palande, Bei Wang
2020	J	`jnl`	State of the Art in Time-Dependent Flow Topology: Interpreting Physical Meaningfulness Through Mathematical Properties. Comput. Graph. Forum Roxana Bujack, Lin Yan, Ingrid Hotz, Christoph Garth, Bei Wang
2020	J	`jnl`	Topological inference of manifolds with boundary. Comput. Geom. Yuan Wang, 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`	A Structural Average of Labeled Merge Trees for Uncertainty Visualization. CoRR Lin Yan, Yusu Wang, Elizabeth Munch, Ellen Gasparovic, Bei Wang
2019	J	`jnl`	A kernel for multi-parameter persistent homology. Comput. Graph. X René Corbet, Ulderico Fugacci, Michael Kerber, Claudia Landi, Bei Wang
2019	—	`conf`	Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale. MICCAI (3) Archit Rathore, Sourabh Palande, Jeffrey S. Anderson, Brandon A. Zielinski, P. Thomas Fletcher, Bei Wang
2019	J	`jnl`	Intrinsic Interleaving Distance for Merge Trees. CoRR Ellen Gasparovic, Elizabeth Munch, Steve Oudot, Katharine Turner, Bei Wang, Yusu Wang
2019	J	`jnl`	Local Versus Global Distances for Zigzag Persistence Modules. CoRR Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
2019	J	`jnl`	MVF Designer: Design and Visualization of Morse Vector Fields. CoRR Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang
2019	J	`jnl`	Mathematical Foundations in Visualization. CoRR Ingrid Hotz, Roxana Bujack, Christoph Garth, Bei Wang
2019	J	`jnl`	Probabilistic Convergence and Stability of Random Mapper Graphs. CoRR Adam Brown, Omer Bobrowski, Elizabeth Munch, Bei Wang
2019	J	`jnl`	Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference. Brain Connect. Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang
2019	J	`jnl`	Robust Extraction and Simplification of 2D Symmetric Tensor Field Topology. Comput. Graph. Forum Jochen Jankowai, Bei Wang, Ingrid Hotz
2019	J	`jnl`	The relationship between the intrinsic Čech and persistence distortion distances for metric graphs. J. Comput. Geom. Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
2019	J	`jnl`	TopoAct: Exploring the Shape of Activations in Deep Learning. CoRR Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang
2019	J	`jnl`	Topology, Computation and Data Analysis (Dagstuhl Seminar 19212). Dagstuhl Reports Michael Kerber, Vijay Natarajan, Bei Wang
2019	J	`jnl`	Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps. CoRR Tushar M. Athawale, Dan Maljovec, Chris R. Johnson, Valerio Pascucci, Bei Wang
2018	J	`jnl`	A Kernel for Multi-Parameter Persistent Homology. CoRR René Corbet, Ulderico Fugacci, Michael Kerber, Claudia Landi, Bei Wang
2018	A*	`conf`	Discrete Stratified Morse Theory: A User's Guide. SoCG Kevin P. Knudson, Bei Wang
2018	J	`jnl`	Discrete Stratified Morse Theory: A User's Guide. CoRR Kevin P. Knudson, Bei Wang
2018	J	`jnl`	Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing. CoRR Lin Yan, Yaodong Zhao, Paul Rosen, Carlos Scheidegger, Bei Wang
2018	J	`jnl`	MOG: Mapper on Graphs for Relationship Preserving Clustering. CoRR Mustafa Hajij, Bei Wang, Paul Rosen
2018	A*	`conf`	Sheaf-Theoretic Stratification Learning. SoCG Adam Brown, Bei Wang
2018	J	`jnl`	The Relationship Between the Intrinsic Cech and Persistence Distortion Distances for Metric Graphs. CoRR Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
2018	—	`conf`	Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains. CNI@MICCAI Keri L. Anderson, Jeffrey S. Anderson, Sourabh Palande, Bei Wang
2018	A*	`conf`	Vietoris-Rips and Cech Complexes of Metric Gluings. SoCG Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
2018	B	`conf`	Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology. PacificVis Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
2018	J	`jnl`	Visual Exploration of Semantic Relationships in Neural Word Embeddings. IEEE Trans. Vis. Comput. Graph. Shusen Liu, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Vivek Srikumar, Bei Wang, Yarden Livnat, Valerio Pascucci
2017	J	`jnl`	Driving Interactive Graph Exploration Using 0-Dimensional Persistent Homology Features. CoRR Ashley Suh, Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
2017	B	`conf`	Exploring the evolution of pressure-perturbations to understand atmospheric phenomena. PacificVis Wathsala Widanagamaachchi, Alexander Jacques, Bei Wang, Erik T. Crosman, Peer-Timo Bremer, Valerio Pascucci, John D. Horel
2017	J	`jnl`	Open Problems in Computational Topology. SIGACT News William I. Gasarch, Brittany Terese Fasy, Bei Wang
2017	J	`jnl`	Persistent Homology Guided Exploration of Time-Varying Graphs. CoRR Mustafa Hajij, Bei Wang, Carlos Scheidegger, Paul Rosen
2017	—	`conf`	Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference. CNI@MICCAI Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang
2017	J	`jnl`	Sheaf-Theoretic Stratification Learning. CoRR Adam Brown, Bei Wang
2017	J	`jnl`	Topology, Computation and Data Analysis (Dagstuhl Seminar 17292). Dagstuhl Reports Hamish A. Carr, Michael Kerber, Bei Wang
2017	J	`jnl`	Towards Spectral Sparsification of Simplicial Complexes Based on Generalized Effective Resistance. CoRR Braxton Osting, Sourabh Palande, Bei Wang
2017	J	`jnl`	Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes. CoRR Paul Rosen, Bei Wang, Anil Seth, Betsy Mills, Adam Ginsburg, Julia Kamenetzky, Jeff Kern, Chris R. Johnson
2017	J	`jnl`	Vietoris-Rips and Cech Complexes of Metric Gluings. CoRR Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier
2017	J	`jnl`	Visualizing High-Dimensional Data: Advances in the Past Decade. IEEE Trans. Vis. Comput. Graph. Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci
2017	J	`jnl`	Visualizing Sensor Network Coverage with Location Uncertainty. CoRR Tim Sodergren, Jessica Hair, Jeff M. Phillips, Bei Wang
2016	J	`jnl`	Analyzing simulation-based PRA data through traditional and topological clustering: A BWR station blackout case study. Reliab. Eng. Syst. Saf. Dan Maljovec, Shusen Liu, Bei Wang, Diego Mandelli, Peer-Timo Bremer, Valerio Pascucci, Curtis L. Smith
2016	A*	`conf`	Convergence between Categorical Representations of Reeb Space and Mapper. SoCG Elizabeth Munch, Bei Wang
2016	J	`jnl`	Critical Point Cancellation in 3D Vector Fields: Robustness and Discussion. IEEE Trans. Vis. Comput. Graph. Primoz Skraba, Paul Rosen, Bei Wang, Guoning Chen, Harsh Bhatia, Valerio Pascucci
2016	Misc	`conf`	Exploring persistent local homology in topological data analysis. ICASSP Brittany Terese Fasy, Bei Wang
2016	J	`jnl`	Interstitial and Interlayer Ion Diffusion Geometry Extraction in Graphitic Nanosphere Battery Materials. IEEE Trans. Vis. Comput. Graph. Attila Gyulassy, Aaron Knoll, Kah Chun Lau, Bei Wang, Peer-Timo Bremer, Michael E. Papka, Larry A. Curtiss, Valerio Pascucci
2016	—	`conf`	Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior. ISBI Eleanor Wong, Sourabh Palande, Bei Wang, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher
2016	B	`conf`	Rethinking sensitivity analysis of nuclear simulations with topology. PacificVis Dan Maljovec, Bei Wang, Paul Rosen, Andrea Alfonsi, Giovanni Pastore, Cristian Rabiti, Valerio Pascucci
2016	J	`jnl`	The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data. Comput. Graph. Forum Shusen Liu, Peer-Timo Bremer, J. J. Jayaraman, Bei Wang, Brian Summa, Valerio Pascucci
2016	—	`conf`	Visual exploration of multiway dependencies in multivariate data. SIGGRAPH Asia Symposium on Visualization Hoa Nguyen, Paul Rosen, Bei Wang
2015	J	`jnl`	Convergence between Categorical Representations of Reeb Space and Mapper. CoRR Elizabeth Munch, Bei Wang
2015	A*	`conf`	Geometric Inference on Kernel Density Estimates. SoCG Jeff M. Phillips, Bei Wang, Yan Zheng
2015	J	`jnl`	Local, smooth, and consistent Jacobi set simplification. Comput. Geom. Harsh Bhatia, Bei Wang, Gregory Norgard, Valerio Pascucci, Peer-Timo Bremer
2015	J	`jnl`	ND Comput. Vis. Sci. Peer-Timo Bremer, Dan Maljovec, Avishek Saha, Bei Wang, Jim Gaffney, Brian K. Spears, Valerio Pascucci
2015	J	`jnl`	Robustness-Based Simplification of 2D Steady and Unsteady Vector Fields. IEEE Trans. Vis. Comput. Graph. Primoz Skraba, Bei Wang, Guoning Chen, Paul Rosen
2015	J	`jnl`	Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections. Comput. Graph. Forum Shusen Liu, Bei Wang, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Valerio Pascucci
2015	—	`conf`	Visualizing High-Dimensional Data: Advances in the Past Decade. EuroVis (STARs) Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci
2014	B	`conf`	2D Vector Field Simplification Based on Robustness. PacificVis Primoz Skraba, Bei Wang, Guoning Chen, Paul Rosen
2014	A*	`conf`	Approximating Local Homology from Samples. SODA Primoz Skraba, Bei Wang
2014	J	`jnl`	Distortion-Guided Structure-Driven Interactive Exploration of High-Dimensional Data. Comput. Graph. Forum Shusen Liu, Bei Wang, Peer-Timo Bremer, Valerio Pascucci
2014	—	`ch.`	Interpreting Feature Tracking Through the Lens of Robustness. Topological Methods in Data Analysis and Visualization Primoz Skraba, Bei Wang
2014	—	`conf`	Multivariate volume visualization through dynamic projections. LDAV Shusen Liu, Bei Wang, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Valerio Pascucci
2013	J	`jnl`	Geometric Inference on Kernel Density Estimates. CoRR Jeff M. Phillips, Bei Wang, Yan Zheng
2013	J	`jnl`	Local, Smooth, and Consistent Jacobi Set Simplification. CoRR Harsh Bhatia, Bei Wang, Gregory Norgard, Valerio Pascucci, Peer-Timo Bremer
2013	J	`jnl`	Visualizing Robustness of Critical Points for 2D Time-Varying Vector Fields. Comput. Graph. Forum Bei Wang, Paul Rosen, Primoz Skraba, Harsh Bhatia, Valerio Pascucci
2012	A*	`conf`	Local homology transfer and stratification learning. SODA Paul Bendich, Bei Wang, Sayan Mukherjee
2012	J	`jnl`	Sampling for Local Homology with Vietoris-Rips Complexes CoRR Primoz Skraba, Bei Wang
2012	B	`conf`	Topological analysis and visualization of cyclical behavior in memory reference traces. PacificVis A. N. M. Imroz Choudhury, Bei Wang, Paul Rosen, Valerio Pascucci
2011	J	`jnl`	Branching and Circular Features in High Dimensional Data. IEEE Trans. Vis. Comput. Graph. Bei Wang, Brian Summa, Valerio Pascucci, Mikael Vejdemo-Johansson
2011	J	`jnl`	Computing elevation maxima by searching the gauss sphere. ACM J. Exp. Algorithmics Bei Wang, Herbert Edelsbrunner, Dmitriy Morozov
2010	J	`jnl`	A computational screen for site selective A-to-I editing detects novel sites in neuron specific Hu proteins. BMC Bioinform. Mats Ensterö, Örjan Åkerborg, Daniel Lundin, Bei Wang, Terrence S. Furey, Marie Öhman, Jens Lagergren
2010	—	`conf`	Stratification Learning through Homology Inference. AAAI Fall Symposium: Manifold Learning and Its Applications Paul Bendich, Sayan Mukherjee, Bei Wang
2009	B	`conf`	Computing Elevation Maxima by Searching the Gauss Sphere. SEA Bei Wang, Herbert Edelsbrunner, Dmitriy Morozov
2008	A	`conf`	Spatial Scan Statistics for Graph Clustering. SDM Bei Wang, Jeff M. Phillips, Robert Schreiber, Dennis M. Wilkinson
2007	J	`jnl`	Two proteins for the price of one: the design of maximally compressed coding sequences. Nat. Comput. Bei Wang, Dimitris Papamichail, Steffen Mueller, Steven Skiena
2006	B	`conf`	A Framework for Modeling DNA Based Molecular Systems. DNA Sudheer Sahu, Bei Wang, John H. Reif
2005	B	`conf`	Two Proteins for the Price of One: The Design of Maximally Compressed Coding Sequences. DNA Bei Wang, Dimitris Papamichail, Steffen Mueller, Steven Skiena