Education:
Ph.D. Computing, Graphics Track, University of Utah, 2016, [Dissertation]Research Interests:
My research interests lie primarily in data visualization, particularly for data that is high-dimensional in nature.
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications
Shusen Liu, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom, Jim Gaffney, Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears and Peer-Timo Bremer, IEEE Transactions on Visualization and Computer Graphics (VAST 2019), to appear [paper] |
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NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Model
Shusen Liu, Zhimin Li, Tao Li, Vivek Srikumar, Valerio Pascucci and Peer-Timo Bremer, IEEE Transactions on Visualization and Computer Graphics (InfoVis 2018), to appear [paper] |
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Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections
Jayaraman J. Thiagarajan, Shusen Liu, Karthikeyan Natesan Ramamurthy and Peer-Timo Bremer, Computer Graphics Forum (EuroVis 2018), to appear [paper] |
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Visual Exploration of Semantic Relationships in Neural Word Embeddings
Shusen Liu, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Vivek Srikumar, Bei Wang, Yarden Livnat and Valerio Pascucci. IEEE Transactions on Visualization and Computer Graphics (InfoVis 2017), 24(1), 553-562, 2018 [paper] |
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Visualizing High-Dimensional Data: Advances in the Past Decade.
Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer and Valerio Pascucci. IEEE Transactions on Visualization and Computer Graphics, 23(3), 1077-2626, 2017 [paper] |
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Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data.
Shusen Liu, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Bei Wang, Brian Summa, and Valerio Pascucci. Computer Graphics Forum (CGF), 35(3), 1-10, 2016 [paper] |
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Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections.
Shusen Liu, Bei Wang, Jayaraman J. Thiagarajan, Peer-Timo Bremer and Valerio Pascucci. Computer Graphics Forum (CGF), 34(3), 271-280, 2015 [paper] [video] |
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Analyzing Simulation-Based PRA Data Through Traditional and Topological Clustering:
A BWR Station Blackout Case Study.
Dan Maljovec, Shusen Liu, Bei Wang, Valerio Pascucci, Peer-Timo Bremer, Diego Mandelli and Curtis Smith. Reliability Engineering & System Safety (RESS), 2015. [paper] |
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Distortion-Guided Structure-Driven Interactive Exploration of High-Dimensional Data.
Shusen Liu, Bei Wang, Peer-Timo Bremer and Valerio Pascucci. Computer Graphics Forum (CGF), 33(3), 101-110, 2014 [paper] [video] |
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CT Based Computerized Identification and Analysis of Human Airways: A Review.
Jiantao Pu, Suicheng Gu, Shusen Liu, Shaocheng Zhu, David Wilson, Jill M. Siegfried and David Gur. Medical physics, 39(5), 2603-2616, 2012. [paper] |
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Feature-Based Statistical Analysis of Combustion Simulation Data.
Janine C. Bennett, Vaidyanathan Krishnamoorthy, Shusen Liu, Ray W. Grout, Evatt R. Hawkes, Jacqueline H. Chen, Jason Shepherd, Valerio Pascucci and Peer-Timo Bremer. IEEE Transactions on Visualization and Computer Graphics, 17(12), 1822-1831, 2011. [paper] |
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Fast Blood Flow Visualization of High-Resolution Laser Speckle Imaging Data Using Graphics Processing Unit.
Shusen Liu, Pengcheng Li and Qingming Luo. Optics express, 16(19), 14321-14329, 2008. [paper] |
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
Shusen Liu, Tao, Li, Zhimin Li, Vivek Srikumar, Valerio Pascucci, and Peer-Timo Bremer . Conference on Empirical Methods in Natural Language Processing (EMNLP) Demonstration Track, 2018. [paper] |
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Embedded Domain-Specific Language and Runtime System for Progressive Spatiotemporal Data Analysis and Visualization
Cameron Christensen, Shusen Liu, Giorgio Scorzelli, Ji-Woo Lee, Peer-Timo Bremer and Valerio Pascucci. IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2016. [paper] |
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Visualizing High-Dimensional Data: Advances in the Past Decade.
Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer and Valerio Pascucci. The Eurographics Conference on Visualization (EuroVis15), State-of-The-Art Reports (STARS), 2015. [paper] [survey website] |
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Multivariate Volume Visualization through Dynamic Projections.
Shusen Liu, Bei Wang, Jayaraman J. Thiagarajan, Peer-Timo Bremer and Valerio Pascucci. IEEE Symposium on Large Data Analysis and Visualization (LDAV), 35-42, 2014. [paper] [video] |
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Analyzing Simulation-Based PRA Data Through Clustering: a BWR Station Blackout Case Study.
Dan Maljovec, Shusen Liu, Bei Wang, Valerio Pascucci, Peer-Timo Bremer, Diego Mandelli and Curtis Smith. International Conference on Probabilistic Safety Assessment and Management (PSAM), 2014. [paper] |
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Gaussian Mixture Model Based Volume Visualization.
Shusen Liu, Joshua A. Levine, Peer-Timo Bremer and Valerio Pascucci. IEEE Symposium on Large Data Analysis and Visualization (LDAV), 73-77, 2012. Best Paper Award! [paper] |
A Static Load Balancing Scheme for Parallel Volume Rendering on Multi-GPU Clusters.
Shusen Liu, Venkatram Vishwanath, Joseph Insley, Mark Hereld, Michael E. Papka, and Valerio Pascucci. IEEE Symposium on Large Data Analysis anisualization (LDAV), 2012. [poster] |
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Evaluating Graph Coloring on GPUs.
A.V. Pascal Grosset, Peihong Zhu, Shusen Liu, Suresh Venkatasubramanian and Mary Hall. ACM SIGPLAN Notices,46 (8), 297-298, 2011. [poster] |
Softwares:
Last updated, April, 2019