Hanqi Guo

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 71

Top Topics

Lessons Learned

Lyapunov Exponents

Scientific Data

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Fangfei Lan, Brandi Gamelin, Lin Yan, Jiali Wang, Bei Wang, Hanqi Guo
Topological Characterization and Uncertainty Visualization of Atmospheric Rivers. Comput. Graph. Forum 43 (3) (2024)
Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. ICDE (2024)
Skylar W. Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Congrong Ren, Sheng Di, Longtao Zhang, Kai Zhao, Hanqi Guo
An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data. CoRR (2024)
Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network. CoRR (2024)
Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, Hanqi Guo
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors. CoRR (2024)
Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR (2024)
Congrong Ren, Xin Liang, Hanqi Guo
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error. Comput. Graph. Forum 43 (3) (2024)
Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Neng Shi, Jiayi Xu, Haoyu Li, Hanqi Guo, Jonathan Woodring, Han-Wei Shen
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Congrong Ren, Hanqi Guo
Meshing Deforming Spacetime for Visualization and Analysis. CoRR (2023)
Skylar Wolfgang Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization. CoRR (2023)
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka
Reinforcement Learning for Load-Balanced Parallel Particle Tracing. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
Skylar W. Wurster, Hanqi Guo, Han-Wei Shen, Tom Peterka, Jiayi Xu
Deep Hierarchical Super Resolution for Scientific Data. IEEE Trans. Vis. Comput. Graph. 29 (12) (2023)
Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo
Toward Feature-Preserving Vector Field Compression. IEEE Trans. Vis. Comput. Graph. 29 (12) (2023)
Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel, Bei Wang, Hanqi Guo
Multilevel Robustness for 2D Vector Field Feature Tracking, Selection and Comparison. Comput. Graph. Forum 42 (6) (2023)
Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression. CoRR (2023)
Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Neural Stream Functions. PacificVis (2023)
Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones. CoRR (2023)
Congrong Ren, Xin Liang, Hanqi Guo
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error. CoRR (2023)
Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Neural Stream Functions. CoRR (2023)
Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. Proc. VLDB Endow. 16 (4) (2022)
Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel, Bei Wang, Hanqi Guo
Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison. CoRR (2022)
Neng Shi, Jiayi Xu, Haoyu Li, Hanqi Guo, Jonathan Woodring, Han-Wei Shen
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations. CoRR (2022)
Yang Zhang, Hanqi Guo, Lanyu Shang, Dong Wang, Tom Peterka
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data. IEEE Trans. Big Data 8 (6) (2022)
Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, Han-Wei Shen
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations. IEEE Trans. Vis. Comput. Graph. 28 (6) (2022)
Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, Han-Wei Shen
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations. CoRR (2022)
Hanqi Guo, Tom Peterka
Exact Analytical Parallel Vectors. CoRR (2021)
Hanqi Guo, Tom Peterka
Exact Analytical Parallel Vectors. IEEE VIS (Short Papers) (2021)
Skylar W. Wurster, Han-Wei Shen, Hanqi Guo, Thomas Peterka, Mukund Raj, Jiayi Xu
Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization. CoRR (2021)
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka
Reinforcement Learning for Load-balanced Parallel Particle Tracing. CoRR (2021)
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. 27 (8) (2021)
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueyun Wang, Xueqiao Xu, Zhehui Wang, Tom Peterka
Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis. IEEE Trans. Vis. Comput. Graph. 27 (6) (2021)
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
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, Han-Wei Shen
IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms. LDAV (2021)
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueqiao Xu, Xueyun Wang, Zhehui Wang, Tom Peterka
Distributed Asynchronous Union-Find for Scalable Feature Tracking. CoRR (2020)
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR (2020)
Wenbin He, Hanqi Guo, Han-Wei Shen, Tom Peterka
eFESTA: Ensemble Feature Exploration with Surface Density Estimates. IEEE Trans. Vis. Comput. Graph. 26 (4) (2020)
Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka
Toward Feature-Preserving 2D and 3D Vector Field Compression. PacificVis (2020)
Wenbin He, Junpeng Wang, Hanqi Guo, Han-Wei Shen, Tom Peterka
CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks. Vis. Informatics 4 (2) (2020)
Sheng Di, Hanqi Guo, Rinku Gupta, Eric Pershey, Marc Snir, Franck Cappello
Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System. IEEE Trans. Parallel Distributed Syst. 30 (2) (2019)
Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang
Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning. IEEE Computer Graphics and Applications 39 (4) (2019)
Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
Z-checker: A framework for assessing lossy compression of scientific data. Int. J. High Perform. Comput. Appl. 33 (2) (2019)
Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang
ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data. ISVC (1) (2019)
Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil M. Constantinescu, Chunhui Liu, Tom Peterka
Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis. IEEE Trans. Vis. Comput. Graph. 25 (9) (2019)
Jun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gokhan Sever, Seung Hyun Kim
Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Sheng Di, Hanqi Guo, Eric Pershey, Marc Snir, Franck Cappello
Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System. DSN (2019)
Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. CoRR (2019)
Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello
La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. EGPGV@EuroVis (2018)
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
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. ISC Workshops (2018)
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. IEEE BigData (2018)
Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen
Parallel Partial Reduction for Large-Scale Data Analysis and Visualization. LDAV (2018)
Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, Tom Peterka
Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Jiang Zhang, Hanqi Guo, Xiaoru Yuan, Tom Peterka
Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing. PacificVis (2018)
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
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience (2018)
Fan Hong, Siming Chen, Hanqi Guo, Xiaoru Yuan, Jian Huang, Yongxian Zhang
Visual exploration of ionosphere disturbances for earthquake research. SIGGRAPH Asia Symposium on Visualization (2017)
Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
Z-checker: A Framework for Assessing Lossy Compression of Scientific Data. CoRR (2017)
Richen Liu, Hanqi Guo, Xiaoru Yuan
User-defined feature comparison for vector field ensembles. J. Vis. 20 (2) (2017)
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
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par (2017)
Fan Hong, Chongke Bi, Hanqi Guo, Kenji Ono, Xiaoru Yuan
Compression-based integral curve data reuse framework for flow visualization. J. Vis. 20 (4) (2017)
Hanqi Guo, Tom Peterka, Andreas Glatz
In situ magnetic flux vortex visualization in time-dependent Ginzburg-Landau superconductor simulations. PacificVis (2017)
Jiang Zhang, Hanqi Guo, Xiaoru Yuan
Efficient unsteady flow visualization with high-order access dependencies. PacificVis (2016)
Hanqi Guo, Carolyn L. Phillips, Tom Peterka, Dmitry A. Karpeyev, Andreas Glatz
Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data. IEEE Trans. Vis. Comput. Graph. 22 (1) (2016)
Qingya Shu, Hanqi Guo, Jie Liang, Limei Che, Junfeng Liu, Xiaoru Yuan
EnsembleGraph: Interactive visual analysis of spatiotemporal behaviors in ensemble simulation data. PacificVis (2016)
Hanqi Guo, Wenbin He, Tom Peterka, Han-Wei Shen, Scott M. Collis, Jonathan J. Helmus
Finite-Time Lyapunov Exponents and Lagrangian Coherent Structures in Uncertain Unsteady Flows. IEEE Trans. Vis. Comput. Graph. 22 (6) (2016)
Richen Liu, Hanqi Guo, Jiang Zhang, Xiaoru Yuan
Comparative visualization of vector field ensembles based on longest common subsequence. PacificVis (2016)
Jiang Zhang, Hanqi Guo, Xiaoru Yuan
High performance flow field visualization with high-order access dependencies. SciVis (2015)
Richen Liu, Hanqi Guo, Xiaoru Yuan
A bottom-up scheme for user-defined feature exploration in vector field ensembles. SciVis (2015)
Richen Liu, Hanqi Guo, Xiaoru Yuan
A bottom-up scheme for user-defined feature comparison in ensemble data. SIGGRAPH Asia Visualization in High Performance Computing (2015)
Hanqi Guo, Wei Li, Xiaoru Yuan
Transfer Function Map. PacificVis (2014)
Fan Hong, Chufan Lai, Hanqi Guo, Enya Shen, Xiaoru Yuan, Sikun Li
FLDA: Latent Dirichlet Allocation Based Unsteady Flow Analysis. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)
Hanqi Guo, Jiang Zhang, Richen Liu, Lu Liu, Xiaoru Yuan, Jian Huang, Xiangfei Meng, Jingshan Pan
Advection-Based Sparse Data Management for Visualizing Unsteady Flow. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)
Richen Liu, Hanqi Guo, Xiaoru Yuan
Seismic structure extraction based on multi-scale sensitivity analysis. J. Vis. 17 (3) (2014)
Hanqi Guo, Fan Hong, Qingya Shu, Jiang Zhang, Jian Huang, Xiaoru Yuan
Scalable Lagrangian-Based Attribute Space Projection for Multivariate Unsteady Flow Data. PacificVis (2014)
Hanqi Guo, Xiaoru Yuan
Local WYSIWYG volume visualization. PacificVis (2013)
Hanqi Guo, Xiaoru Yuan, Jian Huang, Xiaomin Zhu
Coupled Ensemble Flow Line Advection and Analysis. IEEE Trans. Vis. Comput. Graph. 19 (12) (2013)
Hanqi Guo, Xiaoru Yuan, Jie Liu, Guihua Shan, Xuebin Chi, Fei Sun
Interference microscopy volume illustration for biomedical data. PacificVis (2012)
Hanqi Guo, He Xiao, Xiaoru Yuan
Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates. IEEE Trans. Vis. Comput. Graph. 18 (9) (2012)
Hanqi Guo, Ningyu Mao, Xiaoru Yuan
WYSIWYG (What You See is What You Get) Volume Visualization. IEEE Trans. Vis. Comput. Graph. 17 (12) (2011)
Hanqi Guo, He Xiao, Xiaoru Yuan
Multi-dimensional transfer function design based on flexible dimension projection embedded in parallel coordinates. PacificVis (2011)
Hanqi Guo, He Xiao, Min Lu, Xiaoru Yuan
Scalable multivariate volume visualization and analysis. LDAV (2011)
Hanqi Guo, Zuchao Wang, Bowen Yu, Huijing Zhao, Xiaoru Yuan
TripVista: Triple Perspective Visual Trajectory Analytics and its application on microscopic traffic data at a road intersection. PacificVis (2011)
Xiaoru Yuan, He Xiao, Hanqi Guo, Peihong Guo, Wesley Kendall, Jian Huang, Yongxian Zhang
Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data. IEEE Trans. Vis. Comput. Graph. 16 (6) (2010)