| 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 | 408 | 2017 |
| 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 | 408 | 2015 |
| 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 | 91 | 2018 |
| 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 | 73 | 2012 |
| 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 | 71 | 2019 |
| 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 | 71 | 2012 |
| 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 | 68 | 2008 |
| 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 | 51 | 2011 |
| 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 | 49 | 2015 |
| 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 | 45 | 2014 |
| 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 | 42 | 2011 |
| 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 | 35 | 2020 |
| 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 | 34 | 2019 |
| 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 | 29 | 2016 |
| Machine learning–driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins HI Ingólfsson, C Neale, TS Carpenter, R Shrestha, CA López, TH Tran, ... Proceedings of the National Academy of Sciences 119 (1), e2113297119, 2022 | 28 | 2022 |
| 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 | 26 | 2018 |
| 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 | 18 | 2019 |
| 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 | 17 | 2016 |
| 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 | 15 | 2014 |
| Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations H Bhatia, TS Carpenter, HI Ingólfsson, G Dharuman, P Karande, S Liu, ... Nature Machine Intelligence 3 (5), 401-409, 2021 | 10 | 2021 |
Peer-Timo BremerLawrence Livermore National LaboratoryVerified email at llnl.gov
