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Bei Wang
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Research Computer Scientist Email: beiwang AT sci.utah.edu Office Phone: (801) 585-3911 |
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About |
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Research Interests I am primarily interested in topological data analysis and visualization. Recently I concern myself with combining topological and machine learning techniques in understanding scientific datasets. I ask the following questions: Given (potentially high-dimensional) point cloud samples, can we infer the topological or geometric structure of the underlying data? Often we assume the support of the domain is either from a low-dimensional space with manifold structure, or more interestingly, contains mixed dimensionality and complexity. The former is a classic setting in manifold learning. The latter can often be described by a stratified set of manifolds and becomes a problem of particular interest in the field of stratification learning. |
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Recent Research Activities |
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Continuity Preserving Jacobi Set Simplification.
Harsh Bhatia, Bei Wang, Gregory Norgard, Valerio Pascucci and Peer-Timo Bremer, 2012. Full version coming soon! |
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Kernel Distance for Geometric Inference.
Jeff M. Phillips and Bei Wang, 2012. Full version coming soon! |
Approximating Local Homology from Samples.
Primoz Skraba and Bei Wang, 2013. arXiv:1206.0834v2. |
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Recent Publications |
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Visualizing Robustness of Critical Points for 2D Time-Varying Vector Fields.
Bei Wang, Paul Rosen, Primoz Skraba, Harsh Bhatia and Valerio Pascucci. EuroVis (Accepted) 2013. EuroVis Supplemental.
EuroVis Video.
CEDMAV Video.
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Exploration of High-Dimensional Scalar Function
for Nuclear Reactor Safety Analysis and Visualization.
Dan Maljovec, Bei Wang, Valerio Pascucci, Peer-Timo Bremer, Michael Pernice, Diego Mandelli and Robert Nourgaliev. International Conference on Mathematics and Computational Methods Applied to Nuclear Science & Engineering (Accepted), 2013. |
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Adaptive Sampling Algorithms for Probabilistic Risk Assessment of
Nuclear Simulations (Abstract).
Dan Maljovec, Bei Wang, Diego Mandelli, Peer-Timo Bremer and Valerio Pascucci. International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA) (Accepted), 2013. |
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Analyze Dynamic Probabilistic Risk Assessment Data through Clustering (Abstract).
Dan Maljovec, Bei Wang, Diego Mandelli, Peer-Timo Bremer and Valerio Pascucci. International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA) (Accepted), 2013. |
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Interpreting Feature Tracking Through the Lens of Robustness.
Primoz Skraba and Bei Wang. TopoInVis Workshop (Accepted), 2013. Full version coming soon! |
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A Comparative Study of Morse Complex Approximation Using Different
Neighborhood Graphs.
Dan Maljovec, Avishek Saha, Peter Lindstrom, Peer-Timo Bremer, Bei Wang, Carlos Correa, and Valerio Pascucci. TopoInVis Workshop (Accepted), 2013. Full version coming soon! |
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Adaptive Sampling with Topological Scores.
Dan Maljovec, Bei Wang, Ana Kupresanin, Gardard Johannesson, Valerio Pascucci, Peer-Timo Bremer Working with Uncertainty Workshop at IEEE VisWeek, 2011. International Journal for Uncertainty Quantification , 3(2), pages 119-141, 2013. |
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Kernel Distance for Geometric Inference (Abstract).
Jeff M. Phillips and Bei Wang 22nd Annual Fall Workshop on Computational Geometry, 2012. |
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Topological Analysis and Visualization of Cyclical Behavior in Memory Reference Traces.
A.N.M. Imroz Choudhury, Bei Wang, Paul Rosen and Valerio Pascucci. IEEE Pacific Visualization, 2012. Video. |
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Local Homology Transfer and Stratification Learning.
Paul Bendich, Bei Wang and Sayan Mukherjee. Proceedings 23rd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 1355-1370, 2012. Full version: arXiv:1008.3572 . A revised journal full version is coming soon! |
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Branching and Circular Features in High Dimensional Data.
Bei Wang, Brian Summa, Valerio Pascucci and Mikael Vejdemo-Johansson IEEE Transactions on Visualization and Computer Graphics , 17(12), pages 1902-1911, 2011. |
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Towards Stratification Learning through Homology Inference. Paul Bendich, Sayan Mukherjee and Bei Wang. AAAI 2010 Fall Symposium on Manifold Learning and its Applications, 2010. Manifold Learning and its Applications: Papers from the AAAI Fall Symposium. |
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Separating Features from Noise with Persistence and Statistics. Bei Wang. Ph.D. Thesis, Duke University, 2010. |
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Computing Elevation Maxima by Searching the Gauss Sphere. Bei Wang, Herbert Edelsbrunner and Dmitriy Morozov. Proceedings of the 13th International Symposium on Experimental Algorithms, 2009. Lecture Notes in Computer Science, 5526, pages 281-292, 2009. |
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A Computational Screen for Site Selective A-to-I Editing Detects
Novel Sites in Neuron Specific Hu Proteins. Mats Ensterö, Örjan Åkerborg, Daniel Lundin, Bei Wang, Terrence S Furey, Marie Öhman and Jens Lagergren. BMC Bioinformatics, 11(6), 2010. |
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Spatial Scan Statistics for Graph Clustering. Bei Wang, Jeff M. Phillips, Robert Schrieber, Dennis Wilkinson, Nina Mishra and Robert Tarjan. Proceedings of 8th SIAM Intenational Conference on Data Mining, 2008. |
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A Framework for Modeling DNA Based Molecular Systems. Sudheer Sahu, Bei Wang and John H. Reif. Lecture Notes in Computer Science, 4287, pages 250-265, 2006. |
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Two Proteins for the Price of One: The Design of Maximally Compressed Coding Sequences. Bei Wang, Dimitris Papamichail, Steffen Mueller and Steven Skiena. Proceedings of the 11th International Meeting on DNA Based Computers, 2005. Lecture Notes in Computer Science, 3892, pages 387-398, 2006. Also in Natural Computing, 2006. |
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Experimental Robot Musicians. Tarek M. Sobh, Bei Wang and Kurt W. Coble. Journal of Intelligent and Robotic System, 38(2), pages 197-212, 2003. |
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Recent Talks and Travel |
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22nd Annual Fall Workshop on Computational Geometry 2012 CMU Theory Lunch 2012 Applied Math Seminar, Department of mathematics, University of Utah 2012 IEEE Vis conference 2012 Yaroslavl international conference Discrete Geometry dedicated to centenary of A.D.Alexandrov 2012 Summer school of the Delaunay Laboratory 2012 ACM Symposium on Computational Geometry (SOCG) 2012
SAMSI Uncertainty Quantification Transition Workshop 2012 IEEE Pacific Visualization Symposium 2012 ACM-SIAM Symposium on Discrete Algorithms (SODA) 2012
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Extra I have a travel blog Jumpy Shell and a food blog Bei's Bites . |
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