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- affiliation: Ohio State University, Columbus, USA
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2020 – today
- 2021
[j75]Shiyu Cheng
, Han-Wei Shen, Guihua Shan, Beifang Niu, Weihua Bai:
Visual analysis of meteorological satellite data via model-agnostic meta-learning. J. Vis. 24(2): 301-315 (2021)- [j74]Kaixin Chen, Yang Wang, Minzhu Yu, Han-Wei Shen, Xiaomin Yu, Guihua Shan:
ConfVisExplorer: a literature-based visual analysis system for conference comparison. J. Vis. 24(2): 381-395 (2021) - [j73]Guan Li, Junpeng Wang, Han-Wei Shen, Kaixin Chen, Guihua Shan, Zhonghua Lu:
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics. IEEE Trans. Vis. Comput. Graph. 27(2): 1364-1373 (2021) - [j72]Niklas Elmqvist, Brian Fisher, Peter Lindstrom, Ross Maciejewski, Miriah Meyer, Silvia Miksch, Luis Gustavo Nonato, Nathalie Riche, Han-Wei Shen, Rüdiger Westermann, Jo Wood, Jing Yang:
Preface. IEEE Trans. Vis. Comput. Graph. 27(2): xviii-xxv (2021) - [i8]Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert S. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang:
VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications. CoRR abs/2101.01036 (2021) - 2020
- [j71]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) - [j70]Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou:
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. IEEE Trans. Vis. Comput. Graph. 26(1): 34-44 (2020) - [j69]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) - [j68]Ko-Chih Wang, Tzu-Hsuan Wei, Naeem Shareef, Han-Wei Shen:
Ray-Based Exploration of Large Time-Varying Volume Data Using Per-Ray Proxy Distributions. IEEE Trans. Vis. Comput. Graph. 26(11): 3299-3313 (2020) - [j67]Kwan-Liu Ma, Han-Wei Shen:
Foreword to the Special Issue on PacificVis 2020 Workshop on Visualization Meets AI. Vis. Informatics 4(2): 71 (2020) - [j66]Jingyi Shen, Runqi Wang, Han-Wei Shen:
Visual exploration of latent space for traditional Chinese music. Vis. Informatics 4(2): 99-108 (2020) - [j65]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) - [j64]Piyush Chawla, Subhashis Hazarika, Han-Wei Shen:
Token-wise sentiment decomposition for ConvNet: Visualizing a sentiment classifier. Vis. Informatics 4(2): 132-141 (2020) - [c108]Wenbin He, Teng-Yok Lee, Jeroen van Baar, Kent Wittenburg, Han-Wei Shen:
DynamicsExplorer: Visual Analytics for Robot Control Tasks involving Dynamics and LSTM-based Control Policies. PacificVis 2020: 36-45 - [c107]Guan Li, Jiayi Xu, Tianchi Zhang, Guihua Shan, Han-Wei Shen, Ko-Chih Wang, Shihong Liao, Zhonghua Lu:
Distribution-based Particle Data Reduction for In-situ Analysis and Visualization of Large-scale N-body Cosmological Simulations. PacificVis 2020: 171-180 - [i7]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) - [i6]Jingyi Shen, Han-Wei Shen:
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks. CoRR abs/2005.02186 (2020) - [i5]Guan Li, Junpeng Wang, Han-Wei Shen, Kaixin Chen, Guihua Shan, Zhonghua Lu:
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics. CoRR abs/2009.09940 (2020) - [i4]Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd 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
- [j63]Junpeng Wang, Xiaotong Liu, Han-Wei Shen:
High-dimensional data analysis with subspace comparison using matrix visualization. Inf. Vis. 18(1) (2019) - [j62]Yang Wang, Minzhu Yu, Guihua Shan, Han-Wei Shen, Zhonghua Lu:
VISPubComPAS: a comparative analytical system for visualization publication data. J. Vis. 22(5): 941-953 (2019) - [j61]Junpeng Wang, Liang Gou, Han-Wei Shen, Hao Yang:
DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks. IEEE Trans. Vis. Comput. Graph. 25(1): 288-298 (2019) - [j60]Subhashis Hazarika, Soumya Dutta, Han-Wei Shen, Jen-Ping Chen:
CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data. IEEE Trans. Vis. Comput. Graph. 25(1): 1214-1224 (2019) - [j59]Junpeng Wang, Liang Gou, Wei Zhang, Hao Yang, Han-Wei Shen:
DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation. IEEE Trans. Vis. Comput. Graph. 25(6): 2168-2180 (2019) - [j58]Xiaonan Ji, Han-Wei Shen, Alan Ritter, Raghu Machiraju, Po-Yin Yen:
Visual Exploration of Neural Document Embedding in Information Retrieval: Semantics and Feature Selection. IEEE Trans. Vis. Comput. Graph. 25(6): 2181-2192 (2019) - [j57]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) - [j56]Junpeng Wang, Subhashis Hazarika, Cheng Li, Han-Wei Shen:
Visualization and Visual Analysis of Ensemble Data: A Survey. IEEE Trans. Vis. Comput. Graph. 25(9): 2853-2872 (2019) - [c106]Cheng Li, Han-Wei Shen:
Object-in-Hand Feature Displacement with Physically-Based Deformation. PacificVis 2019: 21-30 - [c105]Ko-Chih Wang, Jiayi Xu, Jonathan Woodring, Han-Wei Shen:
Statistical Super Resolution for Data Analysis and Visualization of Large Scale Cosmological Simulations. PacificVis 2019: 303-312 - [i3]Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, Ching-Shan Chou:
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation. CoRR abs/1904.09044 (2019) - [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) - [i1]Jiayi Xu, Soumya Dutta, Wenbin He, Joachim Moortgat, Han-Wei Shen:
Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers. CoRR abs/1911.12383 (2019) - 2018
- [j55]Xiaotong Liu, Yifan Hu, Stephen C. North, Han-Wei Shen:
CorrelatedMultiples: Spatially Coherent Small Multiples With Constrained Multi-Dimensional Scaling. Comput. Graph. Forum 37(1): 7-18 (2018) - [j54]Subhashis Hazarika, Ayan Biswas, Soumya Dutta, Han-Wei Shen:
Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets. Entropy 20(7): 540 (2018) - [j53]Subhashis Hazarika, Ayan Biswas, Han-Wei Shen:
Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models. IEEE Trans. Vis. Comput. Graph. 24(1): 934-943 (2018) - [j52]Junpeng Wang, Liang Gou, Hao Yang, Han-Wei Shen:
GANViz: A Visual Analytics Approach to Understand the Adversarial Game. IEEE Trans. Vis. Comput. Graph. 24(6): 1905-1917 (2018) - [j51]Huijie Zhang, Dezhan Qu, Quanle Liu, Qi Shang, Yafang Hou, Han-Wei Shen:
Uncertainty visualization for variable associations analysis. Vis. Comput. 34(4): 531-549 (2018) - [c104]Ko-Chih Wang, Naeem Shareef, Han-Wei Shen:
Image and Distribution Based Volume Rendering for Large Data Sets. PacificVis 2018: 26-35 - [c103]Tzu-Hsuan Wei, Soumya Dutta, Han-Wei Shen:
Information Guided Data Sampling and Recovery Using Bitmap Indexing. PacificVis 2018: 56-65 - [c102]Soumya Dutta, Han-Wei Shen, Jen-Ping Chen:
In Situ Prediction Driven Feature Analysis in Jet Engine Simulations. PacificVis 2018: 66-75 - [c101]Cheng Li, Joachim Moortgat, Han-Wei Shen:
An Automatic Deformation Approach for Occlusion Free Egocentric Data Exploration. PacificVis 2018: 215-224 - [c100]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 - 2017
- [j50]Junpeng Wang, Xiaotong Liu, Han-Wei Shen, Guang Lin:
Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots. IEEE Trans. Vis. Comput. Graph. 23(1): 81-90 (2017) - [j49]Soumya Dutta, Chun-Ming Chen, Gregory Heinlein, Han-Wei Shen, Jen-Ping Chen:
In Situ Distribution Guided Analysis and Visualization of Transonic Jet Engine Simulations. IEEE Trans. Vis. Comput. Graph. 23(1): 811-820 (2017) - [j48]Ayan Biswas, Guang Lin, Xiaotong Liu, Han-Wei Shen:
Visualization of Time-Varying Weather Ensembles across Multiple Resolutions. IEEE Trans. Vis. Comput. Graph. 23(1): 841-850 (2017) - [j47]Xin Tong, Cheng Li, Han-Wei Shen:
GlyphLens: View-Dependent Occlusion Management in the Interactive Glyph Visualization. IEEE Trans. Vis. Comput. Graph. 23(1): 891-900 (2017) - [c99]Cheng Li, Xin Tong, Han-Wei Shen:
Virtual retractor: An interactive data exploration system using physically based deformation. PacificVis 2017: 51-60 - [c98]Soumya Dutta, Jonathan Woodring, Han-Wei Shen, Jen-Ping Chen, James P. Ahrens:
Homogeneity guided probabilistic data summaries for analysis and visualization of large-scale data sets. PacificVis 2017: 111-120 - [c97]Tzu-Hsuan Wei, Chun-Ming Chen, Jonathan Woodring, Huijie Zhang, Han-Wei Shen:
Efficient distribution-based feature search in multi-field datasets. PacificVis 2017: 121-130 - [c96]Kewei Lu, Han-Wei Shen:
Multivariate volumetric data analysis and visualization through bottom-up subspace exploration. PacificVis 2017: 141-150 - [c95]Wenbin He, Xiaotong Liu, Han-Wei Shen, Scott M. Collis, Jonathan J. Helmus:
Range likelihood tree: A compact and effective representation for visual exploration of uncertain data sets. PacificVis 2017: 151-160 - [c94]Ko-Chih Wang, Kewei Lu, Tzu-Hsuan Wei, Naeem Shareef, Han-Wei Shen:
Statistical visualization and analysis of large data using a value-based spatial distribution. PacificVis 2017: 161-170 - [c93]Cheng Li, Han-Wei Shen:
Winding angle assisted particle tracing in distribution-based vector field. SIGGRAPH Asia Symposium on Visualization 2017: 16:1-16:8 - [c92]Soumya Dutta, Xiaotong Liu, Ayan Biswas, Han-Wei Shen, Jen-Ping Chen:
Pointwise information guided visual analysis of time-varying multi-fields. SIGGRAPH Asia Symposium on Visualization 2017: 17:1-17:8 - [c91]Mateu Sbert, Han-Wei Shen, Ivan Viola, Min Chen, Anton Bardera, Miquel Feixas:
Tutorial on information theory in visualization. SIGGRAPH ASIA (Courses) 2017: 17:1-17:165 - 2016
- [j46]Soumya Dutta, Han-Wei Shen:
Distribution Driven Extraction and Tracking of Features for Time-varying Data Analysis. IEEE Trans. Vis. Comput. Graph. 22(1): 837-846 (2016) - [j45]Chun-Ming Chen, Soumya Dutta, Xiaotong Liu, Gregory Heinlein, Han-Wei Shen, Jen-Ping Chen:
Visualization and Analysis of Rotating Stall for Transonic Jet Engine Simulation. IEEE Trans. Vis. Comput. Graph. 22(1): 847-856 (2016) - [j44]Xiaotong Liu, Han-Wei Shen:
Association Analysis for Visual Exploration of Multivariate Scientific Data Sets. IEEE Trans. Vis. Comput. Graph. 22(1): 955-964 (2016) - [j43]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) - [j42]Xin Tong, John Edwards, Chun-Ming Chen, Han-Wei Shen, Chris R. Johnson, Pak Chung Wong:
View-Dependent Streamline Deformation and Exploration. IEEE Trans. Vis. Comput. Graph. 22(7): 1788-1801 (2016) - [c90]Subhashis Hazarika, Soumya Dutta, Han-Wei Shen:
Visualizing the variations of ensemble of isosurfaces. PacificVis 2016: 209-213 - [c89]Wenbin He, Chun-Ming Chen, Xiaotong Liu, Han-Wei Shen:
A Bayesian approach for probabilistic streamline computation in uncertain flows. PacificVis 2016: 214-218 - [c88]Ayan Biswas, Richard Strelitz, Jonathan Woodring, Chun-Ming Chen, Han-Wei Shen:
A Scalable Streamline Generation Algorithm Via Flux-Based Isocontour Extraction. EGPGV@EuroVis 2016: 69-78 - [c87]Min Chen, Mateu Sbert, Han-Wei Shen, Ivan Viola, Anton Bardera, Miquel Feixas:
Information Theory in Visualization. Eurographics (Tutorials) 2016 - [c86]Xiaotong Liu, Anbang Xu, Liang Gou, Haibin Liu, Rama Akkiraju, Han-Wei Shen:
SocialBrands: Visual analysis of public perceptions of brands on social media. VAST 2016: 71-80 - [c85]Xin Tong, Huijie Zhang, Chris Jacobsen, Han-Wei Shen, Patrick S. McCormick:
Crystal Glyph: Visualization of Directional Distributions Based on the Cube Map. EuroVis (Short Papers) 2016: 13-17 - [c84]Han-Wei Shen, Ross Vasko, Rephael Wenger:
Visualizing Flow Fields Using Fractal Dimensions. EuroVis (Short Papers) 2016: 25-29 - 2015
- [j41]Xiaotong Liu, Han-Wei Shen, Yifan Hu:
Supporting multifaceted viewing of word clouds with focus+context display. Inf. Vis. 14(2): 168-180 (2015) - [c83]Xin Tong, Chun-Ming Chen, Han-Wei Shen, Pak Chung Wong:
Interactive streamline exploration and manipulation using deformation. PacificVis 2015: 1-8 - [c82]Chun-Ming Chen, Ayan Biswas, Han-Wei Shen:
Uncertainty modeling and error reduction for pathline computation in time-varying flow fields. PacificVis 2015: 215-222 - [c81]Ayan Biswas, David S. Thompson, Wenbin He, Qi Deng, Chun-Ming Chen, Han-Wei Shen, Raghu Machiraju, Anand Rangarajan:
An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity. PacificVis 2015: 223-230 - [c80]Xiaotong Liu, Han-Wei Shen:
The Effects of Representation and Juxtaposition on Graphical Perception of Matrix Visualization. CHI 2015: 269-278 - [c79]Kewei Lu, Han-Wei Shen:
A compact multivariate histogram representation for query-driven visualization. LDAV 2015: 49-56 - [c78]Xiaotong Liu, Srinivasan Parthasarathy, Han-Wei Shen, Yifan Hu:
GalaxyExplorer: Influence-Driven Visual Exploration of Context-Specific Social Media Interactions. WWW (Companion Volume) 2015: 215-218 - 2014
- [j40]L. Zhang, Qi Deng, Raghu Machiraju, Anand Rangarajan, David S. Thompson, D. Keith Walters, Han-Wei Shen:
Boosting Techniques for Physics-Based Vortex Detection. Comput. Graph. Forum 33(1): 282-293 (2014) - [j39]Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Rephael Wenger:
Exploring Flow Fields Using Space-Filling Analysis of Streamlines. IEEE Trans. Vis. Comput. Graph. 20(10): 1392-1404 (2014) - [c77]Abon Chaudhuri, Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen, Tom Peterka:
Efficient Range Distribution Query for Visualizing Scientific Data. PacificVis 2014: 201-208 - [c76]Sheng-Jie Luo, Li-Ting Huang, Bing-Yu Chen, Han-Wei Shen:
EmailMap: Visualizing Event Evolution and Contact Interaction within Email Archives. PacificVis 2014: 320-324 - [c75]Yu Su, Gagan Agrawal, Jonathan Woodring, Ayan Biswas, Han-Wei Shen:
Supporting correlation analysis on scientific datasets in parallel and distributed settings. HPDC 2014: 191-202 - [c74]Pak Chung Wong, Han-Wei Shen, L. Ruby Leung, Samson Hagos, Teng-Yok Lee, Xin Tong, Kewei Lu:
Visual analytics of large-scale climate model data. LDAV 2014: 85-92 - [c73]Kewei Lu, Han-Wei Shen, Tom Peterka:
Scalable Computation of Stream Surfaces on Large Scale Vector Fields. SC 2014: 1008-1019 - [c72]Ayan Biswas, Han-Wei Shen:
Evaluation of stream surfaces using error quantification metrics. Visualization and Data Analysis 2014: 90170Z - 2013
- [j38]Thomas Kerwin, Don Stredney, Gregory J. Wiet, Han-Wei Shen:
Virtual mastoidectomy performance evaluation through multi-volume analysis. Int. J. Comput. Assist. Radiol. Surg. 8(1): 51-61 (2013) - [j37]Teng-Yok Lee, Xin Tong, Han-Wei Shen, Pak Chung Wong, Samson Hagos, L. Ruby Leung:
Feature Tracking and Visualization of the Madden-Julian Oscillation in Climate Simulation. IEEE Computer Graphics and Applications 33(4): 29-37 (2013) - [j36]Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen:
Evaluating Isosurfaces with Level-set-based Information Maps. Comput. Graph. Forum 32(3): 1-10 (2013) - [j35]Ayan Biswas, Soumya Dutta, Han-Wei Shen, Jonathan Woodring:
An Information-Aware Framework for Exploring Multivariate Data Sets. IEEE Trans. Vis. Comput. Graph. 19(12): 2683-2692 (2013) - [j34]Teng-Yok Lee, Han-Wei Shen:
Efficient Local Statistical Analysis via Integral Histograms with Discrete Wavelet Transform. IEEE Trans. Vis. Comput. Graph. 19(12): 2693-2702 (2013) - [c71]Ying Tu, Han-Wei Shen:
GraphCharter: Combining browsing with query to explore large semantic graphs. PacificVis 2013: 49-56 - [c70]Steven Martin, Han-Wei Shen:
Transformations for volumetric range distribution queries. PacificVis 2013: 89-96 - [c69]Kewei Lu, Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Pak Chung Wong:
Exploring vector fields with distribution-based streamline analysis. PacificVis 2013: 257-264 - [c68]Xiaotong Liu, Yifan Hu, Stephen C. North, Han-Wei Shen:
CompactMap: A mental map preserving visual interface for streaming text data. IEEE BigData 2013: 48-55 - [c67]Chun-Ming Chen, Han-Wei Shen:
Graph-based seed scheduling for out-of-core FTLE and pathline computation. LDAV 2013: 15-23 - [c66]Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Tom Peterka:
Efficient range distribution query in large-scale scientific data. LDAV 2013: 125-126 - [c65]Steven Martin, Han-Wei Shen:
Stereo frame decomposition for error-constrained remote visualization. Visualization and Data Analysis 2013: 86540A - 2012
- [j33]Thomas Kerwin, Gregory J. Wiet, Don Stredney, Han-Wei Shen:
Automatic scoring of virtual mastoidectomies using expert examples. Int. J. Comput. Assist. Radiol. Surg. 7(1): 1-11 (2012) - [j32]Pak Chung Wong, Han-Wei Shen, Valerio Pascucci:
Extreme-Scale Visual Analytics. IEEE Computer Graphics and Applications 32(4): 23-25 (2012) - [j31]Pak Chung Wong, Han-Wei Shen, Christopher R. Johnson, Chaomei Chen, Robert B. Ross:
The Top 10 Challenges in Extreme-Scale Visual Analytics. IEEE Computer Graphics and Applications 32(4): 63-67 (2012) - [j30]Kun-Chuan Feng, Chaoli Wang, Han-Wei Shen, Tong-Yee Lee:
Coherent Time-Varying Graph Drawing with Multifocus+Context Interaction. IEEE Trans. Vis. Comput. Graph. 18(8): 1330-1342 (2012) - [c64]Chun-Ming Chen, Lijie Xu, Teng-Yok Lee, Han-Wei Shen:
A flow-guided file layout for out-of-core streamline computation. PacificVis 2012: 145-152 - [c63]Steven Martin, Han-Wei Shen:
Interactive transfer function design on large multiresolution volumes. LDAV 2012: 19-22 - [c62]Xin Tong, Teng-Yok Lee, Han-Wei Shen:
Salient time steps selection from large scale time-varying data sets with dynamic time warping. LDAV 2012: 49-56 - [c61]Chun-Ming Chen, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen:
Flow-guided file layout for out-of-core pathline computation. LDAV 2012: 109-112 - [c60]Abon Chaudhuri, Teng-Yok Lee, Bo Zhou, Cong Wang, Tiantian Xu, Han-Wei Shen, Tom Peterka, Yi-Jen Chiang:
Scalable computation of distributions from large scale data sets. LDAV 2012: 113-120 - [c59]Boonthanome Nouanesengsy, Teng-Yok Lee, Kewei Lu, Han-Wei Shen, Tom Peterka:
Parallel particle advection and FTLE computation for time-varying flow fields. SC 2012: 61 - [c58]Abon Chaudhuri, Han-Wei Shen:
A self-adaptive technique for visualizing geospatial data in 3D with minimum occlusion. Visualization and Data Analysis 2012: 82940I - [p2]Pak Chung Wong, Han-Wei Shen, Chaomei Chen:
Top Ten Interaction Challenges in Extreme-Scale Visual Analytics. Expanding the Frontiers of Visual Analytics and Visualization 2012: 197-207 - 2011
- [j29]Chaoli Wang, Han-Wei Shen:
Information Theory in Scientific Visualization. Entropy 13(1): 254-273 (2011) - [j28]Stephen C. North, Han-Wei Shen, Jarke J. van Wijk:
Guest Editor's Introduction: Special Section on the IEEE Pacific Visualization Symposium. IEEE Trans. Vis. Comput. Graph. 17(11): 1545-1546 (2011) - [j27]Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen:
Load-Balanced Parallel Streamline Generation on Large Scale Vector Fields. IEEE Trans. Vis. Comput. Graph. 17(12): 1785-1794 (2011) - [c57]Teng-Yok Lee, Oleg Mishchenko, Han-Wei Shen, Roger Crawfis:
View point evaluation and streamline filtering for flow visualization. PacificVis 2011: 83-90 - [c56]Boonthanome Nouanesengsy, James P. Ahrens, Jonathan Woodring, Han-Wei Shen:
Revisiting Parallel Rendering for Shared Memory Machines. EGPGV@Eurographics 2011: 31-40 - [c55]Tom Peterka, Robert B. Ross, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen, Wesley Kendall, Jian Huang:
A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields. IPDPS 2011: 580-591 - [c54]Steven Martin, Han-Wei Shen:
Histogram spectra for multivariate time-varying volume LOD selection. LDAV 2011: 39-46 - [c53]Tom Peterka, Robert B. Ross, Wesley Kendall, Attila Gyulassy, Valerio Pascucci, Han-Wei Shen, Teng-Yok Lee, Abon Chaudhuri:
Scalable parallel building blocks for custom data analysis. LDAV 2011: 105-112 - [c52]Chun-Ming Chen, Lijie Xu, Teng-Yok Lee, Han-Wei Shen:
A flow-guided file layout for out-of-core streamline computation. LDAV 2011: 115-116 - 2010
- [j26]James P. Ahrens, Han-Wei Shen:
Guest Editors' Introduction: Ultrascale Visualization. IEEE Computer Graphics and Applications 30(3): 20-21 (2010) - [j25]Jarke J. van Wijk, Stephen C. North, Han-Wei Shen:
Guest Editors' Introduction: Highlights from IEEE Pacific Visualization. IEEE Computer Graphics and Applications 30(6): 14-15 (2010) - [j24]Hsien-Hsi Hsieh, Chin-Chen Chang, Wen-Kai Tai, Han-Wei Shen:
Novel Geometrical Voxelization Approach with Application to Streamlines. J. Comput. Sci. Technol. 25(5): 895-904 (2010) - [j23]