Hanqi Guo

112 papers A* 2A 3B 13Journal 76Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data.
CoRR
Congrong Ren, Robert Underwood, Sheng Di, Emrecan Kutay, Zarija Lukic, Aylin Yener, Franck Cappello, Hanqi Guo
2026 J jnl
SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents.
CoRR
Kuangshi Ai, Haichao Miao, Kaiyuan Tang, Nathaniel Gorski, Jianxin Sun, Guoxi Liu, Helgi I. Ingólfsson, David Lenz, Hanqi Guo, Hongfeng Yu, Teja Leburu, Michael Molash, Bei Wang, Tom Peterka, Chaoli Wang, Shusen Liu
2026 J jnl
TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields.
IEEE Trans. Vis. Comput. Graph.
Nathaniel Gorski, Xin Liang, Hanqi Guo, Bei Wang
2026 J jnl
TopoSZp: Lightweight Topology-Aware Error-controlled Compression for Scientific Data.
CoRR
Tripti Agarwal, Sheng Di, Xin Liang, Zhaoyuan Su, Yuxiao Li, Ganesh Gopalakrishnan, Hanqi Guo, Franck Cappello
2026 J jnl
pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression.
CoRR
Yuxiao Li, Mingze Xia, Xin Liang, Bei Wang, Robert Underwood, Sheng Di, Hemant Sharma, Dishant Beniwal, Franck Cappello, Hanqi Guo
2025 J jnl
A General Framework for Augmenting Lossy Compressors With Topological Guarantees.
IEEE Trans. Vis. Comput. Graph.
Nathaniel Gorski, Xin Liang, Hanqi Guo, Lin Yan, Bei Wang
2025 J jnl
A General Framework for Augmenting Lossy Compressors with Topological Guarantees.
CoRR
Nathaniel Gorski, Xin Liang, Hanqi Guo, Lin Yan, Bei Wang
2025 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
ACM Comput. Surv.
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, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
2025 J jnl
A Survey on Reconfigurable Intelligent Surfaces in Practical Systems: Security and Privacy Perspectives.
CoRR
Ziyu Chen, Yitong Shen, Jingzhe Zhang, Yao Zheng, Yili Ren, Xuyu Wang, Shiwen Mao, Hanqi Guo
2025 A conf
Enabling Efficient Error-Controlled Lossy Compression for Unstructured Scientific Data.
IPDPS
Xuan Wu, Sheng Di, Congrong Ren, Pu Jiao, Mingze Xia, Cheng Wang, Hanqi Guo, Xin Liang, Franck Cappello
2025 — conf
Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs.
LDAV
Guanqun Ma, David Lenz, Hanqi Guo, Tom Peterka, Bei Wang
2025 J jnl
Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs.
CoRR
Guanqun Ma, David Lenz, Hanqi Guo, Tom Peterka, Bei Wang
2025 J jnl
Fast and Invertible Simplicial Approximation of Magnetic-Following Interpolation for Visualizing Fusion Plasma Simulation Data.
Comput. Graph. Forum
Congrong Ren, Robert Hager, Randy Michael Churchill, Albert Mollén, Seung-Hoe Ku, Choong-Seock Chang, Hanqi Guo
2025 J jnl
GPZ: GPU-Accelerated Lossy Compressor for Particle Data.
CoRR
Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Jiajun Huang, Jinyang Liu, Jiannan Tian, Xin Liang, Guanpeng Li, Hanqi Guo, Franck Cappello, Kai Zhao
2025 J jnl
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.
Proc. ACM Manag. Data
Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao
2025 — conf
Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing.
IPDPS (Workshops)
Yongfeng Qiu, Yuxiao Li, Xin Liang, Yafan Huang, Guanpeng Li, Sheng Di, Franck Cappello, Hanqi Guo
2025 — conf
Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing.
LDAV
Yongfeng Qiu, Yuxiao Li, Xin Liang, Yafan Huang, Guanpeng Li, Sheng Di, Franck Cappello, Hanqi Guo
2025 J jnl
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors.
IEEE Trans. Vis. Comput. Graph.
Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, Hanqi Guo
2025 J jnl
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network.
IEEE Trans. Vis. Comput. Graph.
Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
2025 J jnl
TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields.
CoRR
Nathaniel Gorski, Xin Liang, Hanqi Guo, Bei Wang
2025 J jnl
Time-varying Vector Field Compression with Preserved Critical Point Trajectories.
CoRR
Mingze Xia, Yuxiao Li, Pu Jiao, Bei Wang, Xin Liang, Hanqi Guo
2025 A* conf
TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation.
ICDE
Mingze Xia, Bei Wang, Yuxiao Li, Pu Jiao, Xin Liang, Hanqi Guo
2025 A conf
What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression.
SC
Franck Cappello, Robert Underwood, Yuri Alexeev, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao
2024 J jnl
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error.
Comput. Graph. Forum
Congrong Ren, Xin Liang, Hanqi Guo
2024 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
CoRR
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
2024 J jnl
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization.
IEEE Trans. Vis. Comput. Graph.
Skylar W. Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka
2024 J jnl
An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data.
CoRR
Congrong Ren, Sheng Di, Longtao Zhang, Kai Zhao, Hanqi Guo
2024 — conf
Critical Point Extraction from Multivariate Functional Approximation.
TopoInVis@VIS
Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang
2024 J jnl
Critical Point Extraction from Multivariate Functional Approximation.
CoRR
Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang
2024 J jnl
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.
CoRR
Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao
2024 J jnl
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors.
CoRR
Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, Hanqi Guo
2024 J jnl
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression.
CoRR
Yuxiao Li, Xin Liang, Bei Wang, Hanqi Guo
2024 A* conf
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.
ICDE
Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo
2024 J jnl
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network.
CoRR
Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
2024 J jnl
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones.
IEEE Trans. Vis. Comput. Graph.
Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang
2024 J jnl
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression.
IEEE Trans. Vis. Comput. Graph.
Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
2024 J jnl
Topological Characterization and Uncertainty Visualization of Atmospheric Rivers.
Comput. Graph. Forum
Fangfei Lan, Brandi Gamelin, Lin Yan, Jiali Wang, Bei Wang, Hanqi Guo
2023 J jnl
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error.
CoRR
Congrong Ren, Xin Liang, Hanqi Guo
2023 J jnl
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization.
CoRR
Skylar Wolfgang Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka
2023 J jnl
Deep Hierarchical Super Resolution for Scientific Data.
IEEE Trans. Vis. Comput. Graph.
Skylar W. Wurster, Hanqi Guo, Han-Wei Shen, Tom Peterka, Jiayi Xu
2023 J jnl
Meshing Deforming Spacetime for Visualization and Analysis.
CoRR
Congrong Ren, Hanqi Guo
2023 J jnl
Multilevel Robustness for 2D Vector Field Feature Tracking, Selection and Comparison.
Comput. Graph. Forum
Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel, Bei Wang, Hanqi Guo
2023 B conf
Neural Stream Functions.
PacificVis
Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
2023 J jnl
Neural Stream Functions.
CoRR
Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
2023 J jnl
Reinforcement Learning for Load-Balanced Parallel Particle Tracing.
IEEE Trans. Vis. Comput. Graph.
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka
2023 J jnl
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones.
CoRR
Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang
2023 J jnl
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression.
CoRR
Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
2023 J jnl
Toward Feature-Preserving Vector Field Compression.
IEEE Trans. Vis. Comput. Graph.
Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo
2023 J jnl
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations.
IEEE Trans. Vis. Comput. Graph.
Neng Shi, Jiayi Xu, Haoyu Li, Hanqi Guo, Jonathan Woodring, Han-Wei Shen
2022 J jnl
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data.
IEEE Trans. Big Data
Yang Zhang, Hanqi Guo, Lanyu Shang, Dong Wang, Tom Peterka
2022 J jnl
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations.
CoRR
Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, Han-Wei Shen
2022 J jnl
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations.
IEEE Trans. Vis. Comput. Graph.
Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, Han-Wei Shen
2022 J jnl
Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison.
CoRR
Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel, Bei Wang, Hanqi Guo
2022 J jnl
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data.
Proc. VLDB Endow.
Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2022 J jnl
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations.
CoRR
Neng Shi, Jiayi Xu, Haoyu Li, Hanqi Guo, Jonathan Woodring, Han-Wei Shen
2021 J jnl
Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis.
IEEE Trans. Vis. Comput. Graph.
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueyun Wang, Xueqiao Xu, Zhehui Wang, Tom Peterka
2021 J jnl
Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization.
CoRR
Skylar W. Wurster, Han-Wei Shen, Hanqi Guo, Thomas Peterka, Mukund Raj, Jiayi Xu
2021 — conf
Exact Analytical Parallel Vectors.
IEEE VIS (Short Papers)
Hanqi Guo, Tom Peterka
2021 J jnl
Exact Analytical Parallel Vectors.
CoRR
Hanqi Guo, Tom Peterka
2021 J jnl
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking.
IEEE Trans. Vis. Comput. Graph.
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
2021 — conf
IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms.
LDAV
Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, Han-Wei Shen
2021 J jnl
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl.
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
2021 J jnl
Reinforcement Learning for Load-balanced Parallel Particle Tracing.
CoRR
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka
2020 J jnl
CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks.
Vis. Informatics
Wenbin He, Junpeng Wang, Hanqi Guo, Han-Wei Shen, Tom Peterka
2020 J jnl
Distributed Asynchronous Union-Find for Scalable Feature Tracking.
CoRR
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueqiao Xu, Xueyun Wang, Zhehui Wang, Tom Peterka
2020 J jnl
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking.
CoRR
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
2020 J jnl
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations.
IEEE Trans. Vis. Comput. Graph.
Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka
2020 B conf
Toward Feature-Preserving 2D and 3D Vector Field Compression.
PacificVis
Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka
2020 J jnl
eFESTA: Ensemble Feature Exploration with Surface Density Estimates.
IEEE Trans. Vis. Comput. Graph.
Wenbin He, Hanqi Guo, Han-Wei Shen, Tom Peterka
2019 A conf
Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System.
DSN
Sheng Di, Hanqi Guo, Eric Pershey, Marc Snir, Franck Cappello
2019 — conf
ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data.
ISVC (1)
Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang
2019 J jnl
Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System.
IEEE Trans. Parallel Distributed Syst.
Sheng Di, Hanqi Guo, Rinku Gupta, Eric Pershey, Marc Snir, Franck Cappello
2019 J jnl
Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps.
IEEE Trans. Vis. Comput. Graph.
Jun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gokhan Sever, Seung Hyun Kim
2019 J jnl
Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis.
IEEE Trans. Vis. Comput. Graph.
Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil M. Constantinescu, Chunhui Liu, Tom Peterka
2019 J jnl
Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning.
IEEE Computer Graphics and Applications
Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang
2019 J jnl
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations.
CoRR
Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka
2019 J jnl
Z-checker: A framework for assessing lossy compression of scientific data.
Int. J. High Perform. Comput. Appl.
Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
2018 — conf
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.
eScience
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
2018 B conf
Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing.
PacificVis
Jiang Zhang, Hanqi Guo, Xiaoru Yuan, Tom Peterka
2018 J jnl
Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing.
IEEE Trans. Vis. Comput. Graph.
Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, Tom Peterka
2018 — conf
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.
IEEE BigData
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello
2018 — conf
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.
ISC Workshops
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
2018 — conf
La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers.
EGPGV@EuroVis
Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello
2018 — conf
Parallel Partial Reduction for Large-Scale Data Analysis and Visualization.
LDAV
Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen
2017 J jnl
Compression-based integral curve data reuse framework for flow visualization.
J. Vis.
Fan Hong, Chongke Bi, Hanqi Guo, Kenji Ono, Xiaoru Yuan
2017 — conf
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
Euro-Par
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
2017 B conf
In situ magnetic flux vortex visualization in time-dependent Ginzburg-Landau superconductor simulations.
PacificVis
Hanqi Guo, Tom Peterka, Andreas Glatz
2017 J jnl
User-defined feature comparison for vector field ensembles.
J. Vis.
Richen Liu, Hanqi Guo, Xiaoru Yuan
2017 — conf
Visual exploration of ionosphere disturbances for earthquake research.
SIGGRAPH Asia Symposium on Visualization
Fan Hong, Siming Chen, Hanqi Guo, Xiaoru Yuan, Jian Huang, Yongxian Zhang
2017 J jnl
Z-checker: A Framework for Assessing Lossy Compression of Scientific Data.
CoRR
Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
2016 B conf
Comparative visualization of vector field ensembles based on longest common subsequence.
PacificVis
Richen Liu, Hanqi Guo, Jiang Zhang, Xiaoru Yuan
2016 B conf
Efficient unsteady flow visualization with high-order access dependencies.
PacificVis
Jiang Zhang, Hanqi Guo, Xiaoru Yuan
2016 B conf
EnsembleGraph: Interactive visual analysis of spatiotemporal behaviors in ensemble simulation data.
PacificVis
Qingya Shu, Hanqi Guo, Jie Liang, Limei Che, Junfeng Liu, Xiaoru Yuan
2016 J jnl
Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data.
IEEE Trans. Vis. Comput. Graph.
Hanqi Guo, Carolyn L. Phillips, Tom Peterka, Dmitry A. Karpeyev, Andreas Glatz
2016 J jnl
Finite-Time Lyapunov Exponents and Lagrangian Coherent Structures in Uncertain Unsteady Flows.
IEEE Trans. Vis. Comput. Graph.
Hanqi Guo, Wenbin He, Tom Peterka, Han-Wei Shen, Scott M. Collis, Jonathan J. Helmus
2015 — conf
A bottom-up scheme for user-defined feature comparison in ensemble data.
SIGGRAPH Asia Visualization in High Performance Computing
Richen Liu, Hanqi Guo, Xiaoru Yuan
2015 — conf
A bottom-up scheme for user-defined feature exploration in vector field ensembles.
SciVis
Richen Liu, Hanqi Guo, Xiaoru Yuan
2015 — conf
High performance flow field visualization with high-order access dependencies.
SciVis
Jiang Zhang, Hanqi Guo, Xiaoru Yuan
2014 J jnl
Advection-Based Sparse Data Management for Visualizing Unsteady Flow.
IEEE Trans. Vis. Comput. Graph.
Hanqi Guo, Jiang Zhang, Richen Liu, Lu Liu, Xiaoru Yuan, Jian Huang, Xiangfei Meng, Jingshan Pan
2014 J jnl
FLDA: Latent Dirichlet Allocation Based Unsteady Flow Analysis.
IEEE Trans. Vis. Comput. Graph.
Fan Hong, Chufan Lai, Hanqi Guo, Enya Shen, Xiaoru Yuan, Sikun Li
2014 B conf
Scalable Lagrangian-Based Attribute Space Projection for Multivariate Unsteady Flow Data.
PacificVis
Hanqi Guo, Fan Hong, Qingya Shu, Jiang Zhang, Jian Huang, Xiaoru Yuan
2014 J jnl
Seismic structure extraction based on multi-scale sensitivity analysis.
J. Vis.
Richen Liu, Hanqi Guo, Xiaoru Yuan
2014 B conf
Transfer Function Map.
PacificVis
Hanqi Guo, Wei Li, Xiaoru Yuan
2013 J jnl
Coupled Ensemble Flow Line Advection and Analysis.
IEEE Trans. Vis. Comput. Graph.
Hanqi Guo, Xiaoru Yuan, Jian Huang, Xiaomin Zhu
2013 B conf
Local WYSIWYG volume visualization.
PacificVis
Hanqi Guo, Xiaoru Yuan
2012 B conf
Interference microscopy volume illustration for biomedical data.
PacificVis
Hanqi Guo, Xiaoru Yuan, Jie Liu, Guihua Shan, Xuebin Chi, Fei Sun
2012 J jnl
Scalable Multivariate Volume Visualization and Analysis Based on Dimension Projection and Parallel Coordinates.
IEEE Trans. Vis. Comput. Graph.
Hanqi Guo, He Xiao, Xiaoru Yuan
2011 B conf
Multi-dimensional transfer function design based on flexible dimension projection embedded in parallel coordinates.
PacificVis
Hanqi Guo, He Xiao, Xiaoru Yuan
2011 — conf
Scalable multivariate volume visualization and analysis.
LDAV
Hanqi Guo, He Xiao, Min Lu, Xiaoru Yuan
2011 B conf
TripVista: Triple Perspective Visual Trajectory Analytics and its application on microscopic traffic data at a road intersection.
PacificVis
Hanqi Guo, Zuchao Wang, Bowen Yu, Huijing Zhao, Xiaoru Yuan
2011 J jnl
WYSIWYG (What You See is What You Get) Volume Visualization.
IEEE Trans. Vis. Comput. Graph.
Hanqi Guo, Ningyu Mao, Xiaoru Yuan
2010 J jnl
Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data.
IEEE Trans. Vis. Comput. Graph.
Xiaoru Yuan, He Xiao, Hanqi Guo, Peihong Guo, Wesley Kendall, Jian Huang, Yongxian Zhang