Shusen Liu
Orcid: 0000-0002-6455-8391Affiliations:
- Lawrence Livermore National Laboratory, Livermore, CA, USA
- University of Utah, USA (PhD 2017)
According to our database1,
Shusen Liu
authored at least 36 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making.
CoRR, 2023
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data.
CoRR, 2023
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
"Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches.
CoRR, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
SpotSDC: Revealing the Silent Data Corruption Propagation in High-Performance Computing Systems.
IEEE Trans. Vis. Comput. Graph., 2021
Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations.
Nat. Mach. Intell., 2021
2020
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications.
IEEE Trans. Vis. Comput. Graph., 2020
Uncovering interpretable relationships in high-dimensional scientific data through function preserving projections.
Mach. Learn. Sci. Technol., 2020
Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge.
J. Chem. Inf. Model., 2020
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.
CoRR, 2020
2019
NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models.
IEEE Trans. Vis. Comput. Graph., 2019
Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion.
CoRR, 2019
CoRR, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019
2018
IEEE Trans. Vis. Comput. Graph., 2018
Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections.
Comput. Graph. Forum, 2018
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
2017
Visual Exploration of High-Dimensional Spaces Through Identification, Summarization, and Interpretation of Two-Dimensional Projections.
PhD thesis, 2017
IEEE Trans. Vis. Comput. Graph., 2017
2016
Analyzing simulation-based PRA data through traditional and topological clustering: A BWR station blackout case study.
Reliab. Eng. Syst. Saf., 2016
The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data.
Comput. Graph. Forum, 2016
Embedded domain-specific language and runtime system for progressive spatiotemporal data analysis and visualization.
Proceedings of the 6th IEEE Symposium on Large Data Analysis and Visualization, 2016
2015
Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections.
Comput. Graph. Forum, 2015
2014
Comput. Graph. Forum, 2014
Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014
2012
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012
2011
IEEE Trans. Vis. Comput. Graph., 2011
Proceedings of the 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2011