2025

• Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, and Hanqi Guo
  MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2024), 2025. (Accepted)
  | DOI | arXiv | GitHub |

• Tianyu Xiong, Skylar Wurster, Hanqi Guo, Tom Peterka, and Han-Wei Shen
  Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2024), 2025. (Accepted)
  | DOI |

2024

• Congrong Ren, Xin Liang, and Hanqi Guo
  A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error
  Computer Graphics Forum (Proc. EuroVis 2024), 43(3):e15097, 2024.
  | DOI | arXiv | GitHub |

• Fangfei Lan, Brandi Gamelin, Lin Yan, Jiali Wang, Bei Wang, and Hanqi Guo
  Topological Characterization and Uncertainty Visualization of Atmospheric Rivers
  Computer Graphics Forum (Proc. EuroVis 2024), 43(3):e15084, 2024.
  | DOI |

• Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, and Hanqi Guo
  Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points
  In ICDE: Proceedings of IEEE International Conference on Data Engineering, 2024. (Accepted)
  | DOI |

• Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
  TopoSZ: Preserving Topology in Error-Bounded Lossy Compression
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2023), 30(1):1302-1312, 2024.
  | DOI | arXiv |

• Lin Yan, Hanqi Guo, Tom Peterka, Bei Wang, and Jiali Wang
  TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclone
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2023), 30(1):1249-1259, 2024.
  | DOI | arXiv | PDF |

• Skylar Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, and Tom Peterka
  Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2023), 30(1):965-974, 2024.
  | DOI | arXiv | PDF |

• Guanqun Ma, David Lenz, Tom Peterka, Hanqi Guo, and Bei Wang
  Critical Point Extraction from Multivariate Functional Approximation
  In TopoInVis'24: IEEE Workshop on Topological Data Analysis and Visualization, in conjunction with IEEE VIS 2024, Florida, USA, 2024. (Accepted)
  | DOI | arXiv |

• Congrong Ren, Sheng Di, Longtao Zhang, Kai Zhao, and Hanqi Guo
  An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data
  arXiv:2404.02826 [cs.IT], 2024.
  | DOI | arXiv | GitHub |

• 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 Ayed Alharthi, Franck Cappello
  A Survey on Error-Bounded Lossy Compression for Scientific Datasets
  arXiv:2404.02840 [cs.DC], 2024.
  | DOI | arXiv |

• Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Capello, and Kai Zhao
  LCP: Enhancing Scientific Data Management with Lossy Compression for Particles
  arXiv:2411.00761 [cs.DC], 2024.
  | DOI | arXiv |

• Yuxiao Li, Xin Liang, Bei Wang, and Hanqi Guo
  Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression
  arXiv:2409.17346 [cs.GR], 2024.
  | DOI | arXiv |

• Congrong Ren and Hanqi Guo
  Simplicial Approximation of Deforming 3D Spaces for Visualizing Fusion Plasma Simulation Data
  arXiv:2309.02677 [cs.GR], 2023.
  | DOI | arXiv |

2023

• Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, and Hanqi Guo
  Toward Feature-Preserving Vector Field Compression
  IEEE Transactions on Visualization and Computer Graphics, 29(12):5434-5450, 2023.
  | DOI | PDF (7.7 MB) |

• Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel, Bei Wang, and Hanqi Guo
  Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison
  Computer Graphics Forum, 42(6):e14799, 2023.
  | DOI | arXiv |

• Skylar Wurster, Hanqi Guo, Tom Peterka, and Han-Wei Shen
  Neural Stream Functions
  In Proceedings of IEEE Pacific Visualization Symposium, pages 132-141, Seoul, Korea, April 18-21, 2023.
  | DOI | arXiv | PDF |

• Skylar W. Wurster, Han-Wei Shen, Hanqi Guo, Thomas Peterka, Mukund Raj, and Jiayi Xu
  Deep Hierarchical Super Resolution for Scientific Data
  IEEE Transactions on Visualization and Computer Graphics, 29(12):5483-5495, 2023.
  | DOI | arXiv |

• Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka
  Reinforcement Learning for Load-balanced Parallel Particle Tracing
  IEEE Transactions on Visualization and Computer Graphics, 29(6):3052-3066, 2023.
  | DOI | arXiv |

• Neng Shi, Jiayi Xu, Haoyu Li, Hanqi Guo, Jonathan Woodring, and Han-Wei Shen
  VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2022), 29(1), 820-830, 2023. Best Paper Honorable Mention
  | DOI | arXiv |

2022

• Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, and Franck Cappello
  Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data
  In Proceedings of the VLDB Endowment, 16(4):697-710, 2022.
  | DOI |

• Yang Zhang, Hanqi Guo, Lanyu Shang, Dong Wang, and Tom Peterka
  A Multi-branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data
  IEEE Transactions on Big Data, 8(6):1637-1649, 2022
  | DOI | PDF (6.7M) |

• Neng Shi, Jiayi Xu, Skylar Wolfgang Wurster, Hanqi Guo, Jonathan Woodring, Luke Van Roekel, and Han-Wei Shen
  GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE PacificVis 2022), 28(6):2301-2313, 2022.
  | DOI | arXiv |

2021

• Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd Munson, and Ian Foster
  FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
  IEEE Transactions on Visualization and Computer Graphics, 27(8):3463-3480, 2021.
  | DOI | arXiv | GitHub | Replicability Stamp | insideHPC News | ECP News |

• Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Xueqiao Xu, Xueyun Wang, Zhehui Wang, and Tom Peterka
  Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE PacificVis 2021), 27(6):2808-2820, 2021. Best Paper Award in IEEE PacificVis 2021.
  | DOI | arXiv |

• Hanqi Guo and Thomas Peterka
  Exact Analytical Parallel Vectors
  In Proceedings of 2021 IEEE VIS Short Papers, pages 101-105, 2021. Best Short Paper Honorable Mention
  | DOI | arXiv |

• Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, and Han-Wei Shen
  IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms
  In LDAV'21: Proceedings of IEEE Symposium on Large Data Analysis and Visualization, pages 12-21, 2021.
  | DOI | PDF |

• Ian Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Line Pouchard, Tong Shu, Hubertus van Dam, Justin M. Wozniak, Matthew Wolf, Wei Xu, Igor Yakushin, Shinjae Yoo, and Todd Munson
  Online data analysis and reduction: An important co-design motif for extreme-scale computers
  Journal of High-Performance Computing Applications, 35(6):617-635, 2021.
  | DOI | PDF |

2020

• Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, and Tom Peterka
  InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2019), 26(1):23-33, 2020. (Best Paper Award)
  | DOI | arXiv | PDF (7.5 MB) | Press Release |

• Wenbin He, Hanqi Guo, Han-Wei Shen, and Tom Peterka
  eFESTA: Ensemble Feature Exploration with Surface Density Estimates
  IEEE Transactions on Visualization and Computer Graphics, 26(4):1716-1731, 2020.
  | DOI | PDF (1.8 MB) | Video (11 MB) | GitHub |

• Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, and Tom Peterka
  Toward Feature Preserving 2D and 3D Vector Field Compression
  In Proceedings of IEEE Pacific Visualization Symposium, Tianjin, China, June 3-5, pages 81-90, 2020.
  | DOI | PDF (1.4 MB) |

• Wenbin He, Junpeng Wang, Hanqi Guo, Han-Wei Shen, and Tom Peterka
  CECAV: Collective Ensemble Comparison and Visualization using Deep Neural Networks
  Journal of Visual Informatics, 4(2):109--121, 2020.
  | DOI | PDF |

• Zhehui Wang, Jiayi Xu, Yao E. Kovach, Bradley T. Wolfe, Edward Thomas Jr., Hanqi Guo, John E. Foster, and Han-Wei Shen
  Microparticle cloud imaging and tracking for data-driven plasma science
  Physics of Plasmas, AIP Publishing, 27(3):033703, 2020.
  | DOI | arXiv |

2019

• Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil Mihai Constantinescu, Chunhui Liu, and Tom Peterka
  Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis
  IEEE Transactions on Visualization and Computer Graphics, 25(9):2710-2724, 2019.
  | DOI | PDF (1.8 MB) |

• Jun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gökhan Sever, and Seung Hyun Kim
  Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps
  IEEE Transactions on Visualization and Computer Graphics (VIS' 18), 25(1):1236-1245, 2019.
  | DOI | PDF (7.0 MB) | Video Preview | GitHub |

• Sheng Di, Hanqi Guo, Rinku Gupta, Eric R. Pershey, Marc Snir, and Franck Cappello
  Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System
  IEEE Transactions on Parallel and Distributed Systems, 30(2):361-374, 2019.
  | DOI | PDF | Press Release |

• Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, and Chaoli Wang
  Flow Field Reduction via Reconstructing Vector Data from 3D Streamlines Using Deep Learning
  IEEE Computer Graphics and Applications, Special Issue on Visual Computing with Deep Learning, 39(4):54-67, 2019.
  | DOI | PDF |

• Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, and Franck Cappello
  Z-checker: A Framework for Assessing Lossy Compression of Scientific Data
  International Journal of High Performance Computing Applications, 33(2):285-303, 2019.
  | DOI | arXiv | PDF |

• Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, and Chaoli Wang
  ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data
  In ISVC'19: Proceedings of International Symposium on Visual Computing, pages 289-301, Lake Tahoe, NV, 2019.
  | DOI | PDF | GitHub | Press Release |

• Sheng Di, Hanqi Guo, Eric R. Pershey, Marc Snir, and Franck Cappello
  Characterizing and Understanding HPC Job Failures over The 2K-day Life of IBM BlueGene/Q System
  In Proceedings of IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019), pages 473-484, Portland, OR, 2019.
  | DOI | PDF |

2018

• Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, and Tom Peterka
  Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing
  IEEE Transactions on Visualization and Computer Graphics (VIS '17), 24(1):954-963, 2018.
  | DOI | PDF (3.5 MB) | Video Preview |

• Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, and Han-Wei Shen
  Parallel Partial Reduction for Large-Scale Data Analysis and Visualization
  In LDAV'18: Proceedings of IEEE Symposium on Large Data Analysis and Visualization, pages 45-55, 2018. (Honorable Mention Award)
  | DOI | PDF | Presentation |

• Jiang Zhang, Hanqi Guo, Xiaoru Yuan, and Tom Peterka
  Dynamic Data Repartitioning for Load-Balanced Parallel Particle Tracing
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis '18), pages 86-95, Kobe, Japan, April 10-13, 2018.
  | DOI | PDF (4.0 MB) |

• Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, and Franck Cappello
  La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers
  In Proceedings of EuroGraphics Symposium on Parallel Graphics and Visualization (EGPGV '18), pages 91-100, Brno, Czech Republic, June 4, 2018.
  | DOI | PDF (2.8 MB) | Video (24 MB) | GitHub | Highlight |

• Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, and Franck Cappello
  Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets
  In Proceedings of IEEE International Conference on BIG DATA, pages 438-447, Seattle, WA, December 10-13, 2018.
  | DOI | PDF |

• Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip Davis, Sheng Di, Greg Eisenhauer, Stephane Ethier, Ian Foster, Berk Geveci, Hanqi Guo, Kevin Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen Malony, Kshitij Mehta, Kenneth Moreland, Todd Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, and Chad Wood
  Coupling Exascale Multiphysics Applications: Methods and Lessons Learned
  In Proceedings of IEEE International Conference on eScience 2018, Amsterdam, Netherlands, October 29-November 1, pages 442-452, 2018.
  | DOI | PDF |

• Mark Kim, James Kress, Jong Youl Choi, Norbert Odhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin Huck, Berk Geveci, Sujin Philip, Robert Maynard, Hanqi Guo, Thomas Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, and David Pugmire
  In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned
  In Proceedings of ISC Workshop on In Situ Visualization (WOIV '18), Frankfurt, Germany, June 28, 2018.
  | DOI | PDF |

2017

• Hanqi Guo, Tom Peterka, and Andreas Glatz
  In Situ Magnetic Flux Vortex Visualization in Time-Dependent Ginzburg-Landau Superconductor Simulations
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis '17), Seoul, Korea, April 18-21, pages 71-80, 2017.
  | DOI | PDF (11 MB) | Video (25 MB) | Github |

• Fan Hong, Chongke Bi, Hanqi Guo, Kenji Ono, and Xiaoru Yuan
  Compression-based Integral Curve Data Reuse Framework for Flow Visualization
  Journal of Visualization, 20(4):859-874, 2017.
  | DOI | PDF |

• Richen Liu, Hanqi Guo, and Xiaoru Yuan
  User-Defined Feature Comparison for Vector Field Ensembles
  Journal of Visualization, 20(2):217-229, 2017.
  | DOI | PDF (4.8 MB) |

• Fan Hong, Siming Chen, Hanqi Guo, Xiaoru Yuan, Jian Huang, and Yongxian Zhang
  Visual Exploration of Ionosphere Disturbances for Earthquake Research
  In SA'17: Proceedings of SIGGRAPH Asia 2017 Symposium on Visualization, pages 2:1-2:8, Bangkok, Thailand, November 27-30, 2017.
  | DOI | PDF |

• Ian Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil Constantinescu, Philip E. Davis, Sheng Di, Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese Van Dam, Tahsin Kurc, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd Munson, George Ostouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, and Shinjae Yoo
  Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales
  In Proceedings of International Conference on Parallel and Distributed Computing (EuroPar), pages 3-19, 2017.
  | DOI | PDF |

2016

• Hanqi Guo, Wenbin He, Tom Peterka, Han-Wei Shen, Scott M. Collis, and Jonathan J. Helmus
  Finite-Time Lyapunov Exponents and Lagrangian Coherent Structures in Uncertain Unsteady Flows
  IEEE Transactions on Visualization and Computer Graphics (PacificVis '16), 22(6):1672-1682, 2016.
  | DOI | PDF (2.8 MB) | Science Highlights |

• Hanqi Guo, Carolyn L. Phillps, Tom Peterka, Dmitry Karpeyev, and Andreas Glatz
  Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data
  IEEE Transactions on Visualization and Computer Graphics (VIS '15), 22(1):827-836, 2016.
  | DOI | PDF (3.8 MB) | Video (11 MB) | Video Preview | Github |

• Carolyn L. Phillips, Hanqi Guo, Tom Peterka, Dmitry Karpeyev, and Andreas Glatz
  Tracking Vortices in Superconductors: Extracting Singularities from a Discretized Complex Scalar Field Evolving in Time
  Physical Reivew E, 93(023305), 2016.
  | DOI | PDF |

• Qingya Shu, Hanqi Guo, Jie Liang, Limei Che, Junfeng Liu, and Xiaoru Yuan
  EnsembleGraph: Interactive Visual Analysis of Spatialtemporal Behaviors for Ensemble Simulation Data
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis '16), Taipei, Apr. 12-15, pages 56-63, 2016.
  | DOI | PDF (4.5 MB) | Video (24 MB) |

• Jiang Zhang, Hanqi Guo, and Xiaoru Yuan
  Efficient Unsteady Flow Visualization with High-Order Access Dependencies
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis '16), Taipei, Apr. 12-15, pages 82-97, 2016.
  | DOI | PDF (2.4 MB) |

• Richen Liu, Hanqi Guo, Jiang Zhang, and Xiaoru Yuan
  Comparative Visualization of Vector Field Ensembles Based on Longest Common Subsequence
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis '16), Taipei, Apr. 12-15, pages 96-103, 2016.
  | DOI | PDF (5.4 MB) |

2015

• Richen Liu, Hanqi Guo, and Xiaoru Yuan
  A Bottom-Up Scheme for User-Defined Feature Comparison in Ensemble Data
  In Proceedings of SIGGRAPH Asia 2015 Symposium on Visualization in High Performance Computing, pages 10:1-10:4, Kobe, Japan, Nov. 2-5, 2015.
  | DOI | PDF |

2014

• Hanqi Guo, Jiang Zhang, Richen Liu, Lu Liu, Xiaoru Yuan, Jian Huang, Xiangfei Meng, and Jingshan Pan
  Advection-based Sparse Data Management for Visualizing Unsteady Flow
  IEEE Transactions on Visualization and Computer Graphics (VIS '14), 20(12):2555-2564, 2014.
  | DOI | PDF (4.8 MB) |

• Fan Hong, Chufan Lai, Hanqi Guo, Enya Shen, Xiaoru Yuan, and Sikun Li
  FLDA: Latent Dirichlet Allocation Based Unsteady Flow Analysis
  IEEE Transactions on Visualization and Computer Graphics (VIS '14), 20(12):2545-2554, 2014.
  | DOI | PDF (4.6 MB) |

• Hanqi Guo, Fan Hong, Qingya Shu, Jiang Zhang, Jian Huang, and Xiaoru Yuan
  Scalable Lagrangian-based Attribute Space Projection for Multivariate Unsteady Flow Data
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2014), pages 33-40, Yokohama, Japan, Mar. 4-7, 2014.
  | DOI | PDF (1.6 MB) | Video (5.1 MB) |

• Hanqi Guo, Wei Li, and Xiaoru Yuan
  Transfer Function Map
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2014), Notes Paper, pages 262-266, Yokohama, Japan, Mar. 4-7, 2014.
  | DOI | PDF (218 KB) |

• Richen Liu, Hanqi Guo and Xiaoru Yuan
  Seismic Structure Extraction Based on Multi-scale Sensitivity Analysis
  Journal of Visualization, 17(3):157-166, 2014
  | DOI | PDF | Video |

2013

• Hanqi Guo, Xiaoru Yuan, Jian Huang, and Xiaomin Zhu
  Coupled Ensemble Flow Line Advection and Analysis
  IEEE Transactions on Visualization and Computer Graphics (VIS '13), 19(12):2733-2742, 2013.
  | DOI | PDF (633 KB) | Video (8.2 MB) |

• Hanqi Guo and Xiaoru Yuan
  Local WYSIWYG Volume Visualization
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2013), pages 65-72, Sydney, NSW, Australia, Feb. 28-Mar.1, 2013.
  | DOI | PDF (633 KB) | Video (8.2 MB) |

2012

• Hanqi Guo, He Xiao, and Xiaoru Yuan
  Scalable Multivariate Volume Visualization and Analysis based on Dimension Projection and Parallel Coordinates
  IEEE Transactions on Visualization and Computer Graphics, 18(9):1397-1410, 2012.
  | DOI | PDF (860 KB) |

• Hanqi Guo, Xiaoru Yuan, Jie Liu, Guihua Shan, Xuebin Chi, and Fei Sun
  Interference Microscopy Volume Illustration for Biomedical Data
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2012), pages 177-184, Songdo, Korea, Feb. 28-Mar. 2, 2012.
  | DOI | PDF (933 KB) | Video (5.1 MB) |

• Hanqi Guo and Xiaoru Yuan
  Transfer Functions for Volume Visualization: State-of-the-Art
  Journal of Computer-Aided Design and Computer Graphics, 24(10):1249-1258, 2012. (In Chinese)
  | PDF (5.0 MB) |

2011

• Hanqi Guo, Ningyu Mao, and Xiaoru Yuan
  WYSIWYG (What You See is What You Get) Volume Visualization
  IEEE Transactions on Visualization and Computer Graphics (VIS '11), 17(12):2106-2114, 2011.
  | DOI | PDF (1.4 MB) | Video (6.3 MB) |

• Hanqi Guo, He Xiao, and Xiaoru Yuan
  Multi-Dimensional Transfer Function Design based on Flexible Dimension Projection Embedded in Parallel Coordinates
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2011), pages 19-26, Hong Kong, Mar 1-4, 2011.
  | DOI | PDF (1.1 MB) | Video (4.9 MB) |

• Hanqi Guo, Zuchao Wang, Bowen Yu, Huijing Zhao, and Xiaoru Yuan
  TripVista: Triple Perspective Visual Trajectory Analytics and Its Application on Microscopic Traffic Data at a Road Intersection
  In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2011), pages 163-170, Hong Kong, Mar 1-4, 2011.
  | DOI | PDF (1.2 MB) | Video (6.3 MB) |

• Xiaoru Yuan, Xin Zhang, He Xiao, and Hanqi Guo
  Visualization Research Frontier and Prospect
  e-Science Technology and Application, 2(4):3-13, 2011. (In Chinese)
  | DOI | PDF |

2010

• Xiaoru Yuan, He Xiao, Hanqi Guo, Peihong Guo, Wesley Kendall, Jian Huang, and Yongxian Zhang
  Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data
  IEEE Transactions on Visualization and Computer Graphics (VIS '10), 16(3):1413-1420, 2010.
  | DOI | PDF (3.3 MB) |