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ORCIDHanqi Guo 0001
郭翰琦
Person information
- unicode name: 郭翰琦
- affiliation: Argonne National Laboratory, Mathematics and Computer Science Division, IL, USA
- affiliation (PhD 2014): Peking University, Beijing, China
Other persons with the same name
- Hanqi Guo 0002 — Wuhan University, Electronic Information School, China
- Hanqi Guo 0003 — Baidu Inc., Department of Computer Vision Technology (VIS)
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2020 – today
- 2025
[j38]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. IEEE Trans. Vis. Comput. Graph. 31(1): 130-140 (2025)- [j37]Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen:
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network. IEEE Trans. Vis. Comput. Graph. 31(1): 645-655 (2025) - 2024
- [j36]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) - [j35]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) - [j34]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): 965-974 (2024) - [j33]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): 1249-1259 (2024) - [j32]Lin Yan, Xin Liang, Hanqi Guo, Bei Wang:
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression. IEEE Trans. Vis. Comput. Graph. 30(1): 1302-1312 (2024) - [c30]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: 4979-4992 - [c29]Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang:
Critical Point Extraction from Multivariate Functional Approximation. TopoInVis@VIS 2024: 12-22 - [i23]Congrong Ren, Sheng Di, Longtao Zhang, Kai Zhao, Hanqi Guo:
An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data. CoRR abs/2404.02826 (2024) - [i22]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 abs/2404.02840 (2024) - [i21]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 abs/2406.09423 (2024) - [i20]Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen:
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network. CoRR abs/2407.19082 (2024) - [i19]Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, Bei Wang:
Critical Point Extraction from Multivariate Functional Approximation. CoRR abs/2408.13193 (2024) - [i18]Yuxiao Li, Xin Liang, Bei Wang, Hanqi Guo:
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression. CoRR abs/2409.17346 (2024) - [i17]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:
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. CoRR abs/2411.00761 (2024) - 2023
- [j31]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) - [j30]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): 820-830 (2023) - [j29]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): 3052-3066 (2023) - [j28]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): 5434-5450 (2023) - [j27]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): 5483-5495 (2023) - [c28]Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen:
Neural Stream Functions. PacificVis 2023: 132-141 - [i16]Lin Yan, Xin Liang, Hanqi Guo, Bei Wang:
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression. CoRR abs/2304.11768 (2023) - [i15]Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen:
Neural Stream Functions. CoRR abs/2307.08142 (2023) - [i14]Lin Yan, Hanqi Guo, Thomas Peterka, Bei Wang, Jiali Wang:
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones. CoRR abs/2307.15243 (2023) - [i13]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 abs/2308.02494 (2023) - [i12]Congrong Ren, Hanqi Guo:
Meshing Deforming Spacetime for Visualization and Analysis. CoRR abs/2309.02677 (2023) - [i11]Congrong Ren, Xin Liang, Hanqi Guo:
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error. CoRR abs/2312.06080 (2023) - 2022
- [j26]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): 697-710 (2022) - [j25]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): 1637-1649 (2022) - [j24]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): 2301-2313 (2022) - [i10]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 abs/2202.08956 (2022) - [i9]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 abs/2207.13091 (2022) - [i8]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 abs/2209.11708 (2022) - 2021
- [j23]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): 617-635 (2021) - [j22]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): 2808-2820 (2021) - [j21]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): 3463-3480 (2021) - [c27]Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, Han-Wei Shen:
IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms. LDAV 2021: 12-21 - [c26]Hanqi Guo, Tom Peterka:
Exact Analytical Parallel Vectors. IEEE VIS (Short Papers) 2021: 101-105 - [i7]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 abs/2107.00462 (2021) - [i6]Hanqi Guo, Tom Peterka:
Exact Analytical Parallel Vectors. CoRR abs/2107.02708 (2021) - [i5]Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka:
Reinforcement Learning for Load-balanced Parallel Particle Tracing. CoRR abs/2109.05679 (2021) - 2020
- [j20]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): 23-33 (2020) - [j19]Wenbin He, Hanqi Guo, Han-Wei Shen, Tom Peterka:
eFESTA: Ensemble Feature Exploration with Surface Density Estimates. IEEE Trans. Vis. Comput. Graph. 26(4): 1716-1731 (2020) - [j18]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): 109-121 (2020) - [c25]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: 81-90 - [i4]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 abs/2003.02351 (2020) - [i3]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 abs/2011.08697 (2020)
2010 – 2019
- 2019
- [j17]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): 54-67 (2019) - [j16]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) - [j15]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): 361-374 (2019) - [j14]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): 1236-1245 (2019) - [j13]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): 2710-2724 (2019) - [c24]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: 473-484 - [c23]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: 289-301 - [i2]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 abs/1908.00407 (2019) - 2018
- [j12]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): 954-963 (2018) - [c22]Jiang Zhang, Hanqi Guo, Xiaoru Yuan, Tom Peterka:
Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing. PacificVis 2018: 86-95 - [c21]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: 438-447 - [c20]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: 442-452 - [c19]Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello:
La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. EGPGV@EuroVis 2018: 91-100 - [c18]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: 45-55 - [c17]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: 230-242 - 2017
- [j11]Richen Liu, Hanqi Guo, Xiaoru Yuan:
User-defined feature comparison for vector field ensembles. J. Vis. 20(2): 217-229 (2017) - [j10]Fan Hong, Chongke Bi, Hanqi Guo, Kenji Ono, Xiaoru Yuan:
Compression-based integral curve data reuse framework for flow visualization. J. Vis. 20(4): 859-874 (2017) - [c16]Hanqi Guo, Tom Peterka, Andreas Glatz:
In situ magnetic flux vortex visualization in time-dependent Ginzburg-Landau superconductor simulations. PacificVis 2017: 71-80 - [c15]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: 3-19 - [c14]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: 2:1-2:8 - [i1]Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello:
Z-checker: A Framework for Assessing Lossy Compression of Scientific Data. CoRR abs/1707.09320 (2017) - 2016
- [j9]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): 827-836 (2016) - [j8]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): 1672-1682 (2016) - [c13]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: 56-63 - [c12]Jiang Zhang, Hanqi Guo, Xiaoru Yuan:
Efficient unsteady flow visualization with high-order access dependencies. PacificVis 2016: 80-87 - [c11]Richen Liu, Hanqi Guo, Jiang Zhang, Xiaoru Yuan:
Comparative visualization of vector field ensembles based on longest common subsequence. PacificVis 2016: 96-103 - 2015
- [c10]Richen Liu, Hanqi Guo, Xiaoru Yuan:
A bottom-up scheme for user-defined feature exploration in vector field ensembles. SciVis 2015: 155-156 - [c9]Jiang Zhang, Hanqi Guo, Xiaoru Yuan:
High performance flow field visualization with high-order access dependencies. SciVis 2015: 165-166 - [c8]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: 10:1-10:4 - 2014
- [j7]Richen Liu, Hanqi Guo, Xiaoru Yuan:
Seismic structure extraction based on multi-scale sensitivity analysis. J. Vis. 17(3): 157-166 (2014) - [j6]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): 2545-2554 (2014) - [j5]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): 2555-2564 (2014) - [c7]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: 33-40 - [c6]Hanqi Guo, Wei Li, Xiaoru Yuan:
Transfer Function Map. PacificVis 2014: 262-266 - 2013
- [j4]Hanqi Guo, Xiaoru Yuan, Jian Huang, Xiaomin Zhu:
Coupled Ensemble Flow Line Advection and Analysis. IEEE Trans. Vis. Comput. Graph. 19(12): 2733-2742 (2013) - [c5]Hanqi Guo, Xiaoru Yuan:
Local WYSIWYG volume visualization. PacificVis 2013: 65-72 - 2012
- [j3]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): 1397-1410 (2012) - [c4]Hanqi Guo, Xiaoru Yuan, Jie Liu, Guihua Shan, Xuebin Chi, Fei Sun:
Interference microscopy volume illustration for biomedical data. PacificVis 2012: 177-184 - 2011
- [j2]Hanqi Guo, Ningyu Mao, Xiaoru Yuan:
WYSIWYG (What You See is What You Get) Volume Visualization. IEEE Trans. Vis. Comput. Graph. 17(12): 2106-2114 (2011) - [c3]Hanqi Guo, He Xiao, Xiaoru Yuan:
Multi-dimensional transfer function design based on flexible dimension projection embedded in parallel coordinates. PacificVis 2011: 19-26 - [c2]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: 163-170 - [c1]Hanqi Guo, He Xiao, Min Lu, Xiaoru Yuan:
Scalable multivariate volume visualization and analysis. LDAV 2011: 119-120 - 2010
- [j1]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): 1413-1420 (2010)
Coauthor Index
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