Shusen Liu

Postdoc Researcher,
Lawrence Livermore National Laboratory
Email: shusenl AT sci.utah.edu

[CV] (last updated May 26, 2016)
[Resume] (last updated Jan 10, 2016)
[Google Scholar] [ResearchGate]

Education:

Ph.D. Computing, Graphics Track, University of Utah, 2016
B.E. Biomedical Engineering, Huazhong Unversity of Science and Technology, 2009
B.S. Computer Science, Huazhong Unversity of Science and Technology, 2009

Research Interests:

My research interests lie primarily in data visualization, particularly for data that is high-dimensional in nature.
I am also interested in the applications of high-dimensional space exploration techniques for visualizing multivariate volumetric data and understanding machine learning algorithms


Journal Publications:
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), to appear
[paper]
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]
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]
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]
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]
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]
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]
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]
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]

Peer-Reviewed Conference Proceedings:
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]
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]
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]
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]
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]

Peer-Reviewed Extended Abstracts:
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]
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:

DataExplorerHD
DataExplorerHD is a high-dimensional data analysis and visualization tool. It design to be extensible for future extensions. Current release version include distortion guided interaction for exploring dimension reduction results (EuroVis 2014 work).
Documents

Download Windows Binary
Download Ubuntu Linux Binary
Download Mac Binary

Download Source
Word Embedding Explorer
Word Embedding Explorer is a web-based visualization tool design for studying various word embedding algorithms, such as word2Vec and Glove.
Documents (coming soon)

Test the Tool Online

Other Code:

Procedural Shatter Effects
Simple glsl Volume Renderer


Resources:

High-Dimensional Data Analysis and Visualization Survey: Library

Locations of Site Visitors

Last updated, July, 2017