Hanqi Guo

According to our database, Hanqi Guo authored at least 59 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations.

Neng Shi, Jiayi Xu, Haoyu Li, Hanqi Guo, Jonathan Woodring, Han-Wei Shen

IEEE Trans. Vis. Comput. Graph., 2023

2022

GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations.

Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, Han-Wei Shen

IEEE Trans. Vis. Comput. Graph., 2022

A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data.

Yang Zhang, Hanqi Guo, Lanyu Shang, Dong Wang, Tom Peterka

IEEE Trans. Big Data, 2022

Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data.

Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello

Proc. VLDB Endow., 2022

Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison.

Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel, Bei Wang, Hanqi Guo

CoRR, 2022

2021

Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis.

Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueyun Wang, Xueqiao Xu, Zhehui Wang, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 2021

FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking.

Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster

IEEE Trans. Vis. Comput. Graph., 2021

Online data analysis and reduction: An important Co-design motif for extreme-scale computers.

Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson

Int. J. High Perform. Comput. Appl., 2021

Reinforcement Learning for Load-balanced Parallel Particle Tracing.

Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka

CoRR, 2021

Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization.

Skylar W. Wurster, Han-Wei Shen, Hanqi Guo, Thomas Peterka, Mukund Raj, Jiayi Xu

CoRR, 2021

Exact Analytical Parallel Vectors.

Hanqi Guo, Tom Peterka

Proceedings of the 2021 IEEE Visualization Conference, 2021

IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms.

Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, Han-Wei Shen

Proceedings of the 11th IEEE Symposium on Large Data Analysis and Visualization, 2021

2020

CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks.

Wenbin He, Junpeng Wang, Hanqi Guo, Han-Wei Shen, Tom Peterka

Vis. Informatics, 2020

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations.

Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 2020

eFESTA: Ensemble Feature Exploration with Surface Density Estimates.

Wenbin He, Hanqi Guo, Han-Wei Shen, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 2020

FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking.

Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster

CoRR, 2020

Distributed Asynchronous Union-Find for Scalable Feature Tracking.

Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueqiao Xu, Xueyun Wang, Zhehui Wang, Tom Peterka

CoRR, 2020

Toward Feature-Preserving 2D and 3D Vector Field Compression.

Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019

Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps.

Jun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gokhan Sever, Seung Hyun Kim

IEEE Trans. Vis. Comput. Graph., 2019

Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis.

Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil M. Constantinescu, Chunhui Liu, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 2019

Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System.

Sheng Di, Hanqi Guo, Rinku Gupta, Eric Pershey, Marc Snir, Franck Cappello

IEEE Trans. Parallel Distributed Syst., 2019

Z-checker: A framework for assessing lossy compression of scientific data.

Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello

Int. J. High Perform. Comput. Appl., 2019

Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning.

Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang

IEEE Computer Graphics and Applications, 2019

ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data.

Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang

Proceedings of the Advances in Visual Computing, 2019

Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System.

Sheng Di, Hanqi Guo, Eric Pershey, Marc Snir, Franck Cappello

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

2018

Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing.

Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, Tom Peterka

IEEE Trans. Vis. Comput. Graph., 2018

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.

Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin A. Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, David Pugmire

Proceedings of the High Performance Computing, 2018

Parallel Partial Reduction for Large-Scale Data Analysis and Visualization.

Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen

Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018

La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers.

Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello

Proceedings of the 18th Eurographics Symposium on Parallel Graphics and Visualization, 2018

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.

Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood

Proceedings of the 14th IEEE International Conference on e-Science, 2018

Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.

Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing.

Jiang Zhang, Hanqi Guo, Xiaoru Yuan, Tom Peterka

Proceedings of the IEEE Pacific Visualization Symposium, 2018

2017

User-defined feature comparison for vector field ensembles.

Richen Liu, Hanqi Guo, Xiaoru Yuan

J. Vis., 2017

Compression-based integral curve data reuse framework for flow visualization.

Fan Hong, Chongke Bi, Hanqi Guo, Kenji Ono, Xiaoru Yuan

J. Vis., 2017

Visual exploration of ionosphere disturbances for earthquake research.

Fan Hong, Siming Chen, Hanqi Guo, Xiaoru Yuan, Jian Huang, Yongxian Zhang

Proceedings of the SIGGRAPH ASIA 2017, Bangkok, Thailand, November 27 - 30, 2017, 2017

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.

Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo

Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

In situ magnetic flux vortex visualization in time-dependent Ginzburg-Landau superconductor simulations.

Hanqi Guo, Tom Peterka, Andreas Glatz

Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

2016

Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data.

Hanqi Guo, Carolyn L. Phillips, Tom Peterka, Dmitry A. Karpeyev, Andreas Glatz

IEEE Trans. Vis. Comput. Graph., 2016

Finite-Time Lyapunov Exponents and Lagrangian Coherent Structures in Uncertain Unsteady Flows.

Hanqi Guo, Wenbin He, Tom Peterka, Han-Wei Shen, Scott M. Collis, Jonathan J. Helmus

IEEE Trans. Vis. Comput. Graph., 2016

Efficient unsteady flow visualization with high-order access dependencies.

Jiang Zhang, Hanqi Guo, Xiaoru Yuan

Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

EnsembleGraph: Interactive visual analysis of spatiotemporal behaviors in ensemble simulation data.

Qingya Shu, Hanqi Guo, Jie Liang, Limei Che, Junfeng Liu, Xiaoru Yuan

Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

Comparative visualization of vector field ensembles based on longest common subsequence.

Richen Liu, Hanqi Guo, Jiang Zhang, Xiaoru Yuan

Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

2015

A bottom-up scheme for user-defined feature comparison in ensemble data.

Richen Liu, Hanqi Guo, Xiaoru Yuan

Proceedings of the SIGGRAPH Asia 2015 Visualization in High Performance Computing, 2015

High performance flow field visualization with high-order access dependencies.

Jiang Zhang, Hanqi Guo, Xiaoru Yuan

Proceedings of the 2015 IEEE Scientific Visualization Conference, 2015

A bottom-up scheme for user-defined feature exploration in vector field ensembles.

Richen Liu, Hanqi Guo, Xiaoru Yuan

Proceedings of the 2015 IEEE Scientific Visualization Conference, 2015

2014

FLDA: Latent Dirichlet Allocation Based Unsteady Flow Analysis.

Fan Hong, Chufan Lai, Hanqi Guo, Enya Shen, Xiaoru Yuan, Sikun Li

IEEE Trans. Vis. Comput. Graph., 2014

Advection-Based Sparse Data Management for Visualizing Unsteady Flow.

Hanqi Guo, Jiang Zhang, Richen Liu, Lu Liu, Xiaoru Yuan, Jian Huang, Xiangfei Meng, Jingshan Pan

IEEE Trans. Vis. Comput. Graph., 2014

Seismic structure extraction based on multi-scale sensitivity analysis.

Richen Liu, Hanqi Guo, Xiaoru Yuan

J. Vis., 2014

Transfer Function Map.

Hanqi Guo, Wei Li, Xiaoru Yuan

Proceedings of the IEEE Pacific Visualization Symposium, 2014

Scalable Lagrangian-Based Attribute Space Projection for Multivariate Unsteady Flow Data.

Hanqi Guo, Fan Hong, Qingya Shu, Jiang Zhang, Jian Huang, Xiaoru Yuan

Proceedings of the IEEE Pacific Visualization Symposium, 2014

2013

Coupled Ensemble Flow Line Advection and Analysis.

Hanqi Guo, Xiaoru Yuan, Jian Huang, Xiaomin Zhu

IEEE Trans. Vis. Comput. Graph., 2013

Local WYSIWYG volume visualization.

Hanqi Guo, Xiaoru Yuan

Proceedings of the IEEE Pacific Visualization Symposium, 2013

2012

Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates.

Hanqi Guo, He Xiao, Xiaoru Yuan

IEEE Trans. Vis. Comput. Graph., 2012

Interference microscopy volume illustration for biomedical data.

Hanqi Guo, Xiaoru Yuan, Jie Liu, Guihua Shan, Xuebin Chi, Fei Sun

Proceedings of the 2012 IEEE Pacific Visualization Symposium, 2012

2011

WYSIWYG (What You See is What You Get) Volume Visualization.

Hanqi Guo, Ningyu Mao, Xiaoru Yuan

IEEE Trans. Vis. Comput. Graph., 2011

Scalable multivariate volume visualization and analysis.

Hanqi Guo, He Xiao, Min Lu, Xiaoru Yuan

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

Multi-dimensional transfer function design based on flexible dimension projection embedded in parallel coordinates.

Hanqi Guo, He Xiao, Xiaoru Yuan

Proceedings of the IEEE Pacific Visualization Symposium, 2011

TripVista: Triple Perspective Visual Trajectory Analytics and its application on microscopic traffic data at a road intersection.

Hanqi Guo, Zuchao Wang, Bowen Yu, Huijing Zhao, Xiaoru Yuan

Proceedings of the IEEE Pacific Visualization Symposium, 2011

2010

Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data.

Xiaoru Yuan, He Xiao, Hanqi Guo, Peihong Guo, Wesley Kendall, Jian Huang, Yongxian Zhang

IEEE Trans. Vis. Comput. Graph., 2010