刘树森 Shusen Liu
刘树森 Shusen Liu
Research Scientist, Lawrence Livermore National Laboratory
Geverifieerd e-mailadres voor sci.utah.edu - Homepage
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Visualizing high-dimensional data: Advances in the past decade
S Liu, D Maljovec, B Wang, PT Bremer, V Pascucci
IEEE Transactions on Visualization and Computer Graphics 23 (3), 1249-1268, 2017
2982017
Visualizing high-dimensional data: Advances in the past decade
S Liu, D Maljovec, B Wang, PT Bremer, V Pascucci
Proc. Eurographics Conf. Visualization, 20151115-127, 2015
2982015
CT based computerized identification and analysis of human airways: a review
J Pu, S Gu, S Liu, S Zhu, D Wilson, JM Siegfried, D Gur
Medical physics 39 (5), 2603-2616, 2012
662012
Fast blood flow visualization of high-resolution laser speckle imaging data using graphics processing unit
S Liu, P Li, Q Luo
Optics express 16 (19), 14321-14329, 2008
662008
Visual Exploration of Semantic Relationships in Neural Word Embeddings
S Liu, PT Bremer, JJ Thiagarajan, V Srikumar, B Wang, Y Livnat, ...
IEEE Transactions on Visualization and Computer Graphics (InfoVis 2017), 2018
642018
Gaussian mixture model based volume visualization
S Liu, JA Levine, PT Bremer, V Pascucci
IEEE Symposium on Large Data Analysis and Visualization (LDAV), 73-77, 2012
542012
Feature-based statistical analysis of combustion simulation data
JC Bennett, V Krishnamoorthy, S Liu, RW Grout, ER Hawkes, JH Chen, ...
IEEE transactions on visualization and computer graphics 17 (12), 1822-1831, 2011
462011
Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections
S Liu, B Wang, JJ Thiagarajan, PT Bremer, V Pascucci
Computer Graphics Forum, 2015
432015
Distortion-Guided Structure-Driven Interactive Exploration of High-Dimensional Data
S Liu, B Wang, PT Bremer, V Pascucci
Computer Graphics Forum 33 (3), 101-110, 2014
382014
Generative counterfactual introspection for explainable deep learning
S Liu, B Kailkhura, D Loveland, Y Han
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019
352019
Evaluating graph coloring on GPUs
AVP Grosset, P Zhu, S Liu, S Venkatasubramanian, M Hall
Proceedings of the 16th ACM symposium on Principles and practice of parallel …, 2011
322011
Analyzing simulation-based PRA data through traditional and topological clustering: A BWR station blackout case study
D Maljovec, S Liu, B Wang, D Mandelli, PT Bremer, V Pascucci, C Smith
Reliability Engineering & System Safety 145, 262-276, 2016
232016
NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models
S Liu, Z Li, T Li, V Srikumar, V Pascucci, PT Bremer
IEEE Transactions on Visualization and Computer Graphics (InfoVis 2018), 2019
202019
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
S Liu, T Li, Z Li, V Srikumar, V Pascucci, PT Bremer
Proceedings of EMNLP (Empirical Methods in Natural Language Processing) 2018 …, 2018
162018
The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data
S Liu, PT Bremer, JJ Jayaraman, B Wang, B Summa, V Pascucci
Computer Graphics Forum 35 (3), 2016
142016
Multivariate Volume Visualization through Dynamic Projections
S Liu, B Wang, JJ Thiagarajan, PT Bremer, V Pascucci
Large Data Analysis and Visualization (LDAV), 2014 IEEE Symposium on, 2014
142014
Nanomaterial synthesis insights from machine learning of scientific articles by extracting, structuring, and visualizing knowledge
AM Hiszpanski, B Gallagher, K Chellappan, P Li, S Liu, H Kim, J Han, ...
Journal of chemical information and modeling 60 (6), 2876-2887, 2020
122020
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets
S Jacobs, J Yeom, D Hysom, B Van Essen, B Spears, T Moon, S Liu, ...
IEEE Cluster 2019, 2019
112019
Embedded Domain-Specific Language and Runtime System for Progressive Spatiotemporal Data Analysis and Visualization
C Christensen, S Liu, G Scorzelli, JW Lee, PT Bremer, V Pascucci
IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2016
62016
Machine Learning-driven Multiscale Modeling Reveals Lipid-Dependent Dynamics of RAS Signaling Proteins
H Ingolfsson, C Neale, T Carpenter, R Shrestha, C Lopez, T Tran, ...
32020
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Artikelen 1–20