Publications
2024
Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Henrique Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren. "USE: Universal Segment embeddings for Open-Vocabulary Image Segmentation." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Haoyu Li and Han-Wei Shen: "Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation." IEEE Transactions on Visualization and Computer Graphics.
Haoyu Li, Isaac J Michaud, Ayan Biswas, Han-Wei Shen, "Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data'', 2024 IEEE Pacific Visualization Symposium (PacificVis)
Xiaoqi Wang and Han-Wei Shen. "GNNBoundary: Towards Explaining Graph Neural Networks Through the Lens of Decision Boundaries." In Proceedings of the International Conference on Learning Representations (ICLR), 2024.
Yamei Tu, Rui Qiu, Han-Wei Shen, "KG-PRE-view: Democratizing A TVCG Knowledge Graph through Visual Explorations'', 2024 IEEE Pacific Visualization Symposium (PacificVis)
2023
S. W. Wurster, T. Xiong, H. -W Shen, H. Guo, T. Peterka. “Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization.” In Proc. IEEE VIS, 2023.
Jingyi Shen and Han-Wei Shen: "PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data." IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2023)
Xiaoqi Wang and Han-Wei Shen. "GNNInterpreter: A Probabilistic Generative Model-Level Explanation For Graph Neural Networks." In Proceedings of International Conference on Learning Representations (ICLR), 2023.
Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen. "SmartGD: A GAN-Based Graph Drawing Framework for Diverse Aesthetic Goals." IEEE Transactions on Visualization and Computer Graphics, 2023.
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, and Wei-Lun Chao. “On the Importance and Applicability of Pre-Training for Federated Learning.” In Proceedings of International Conference on Learning Representations (ICLR), 2023.
Skylar W Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen. "Neural Stream Functions." In Proceedings of PacificVis 2023.
Yamei Tu, Olga Li, Junpeng Wang, Han-Wei Shen, Przemek Powałko, Irina Tomescu-Dubrow, Kazimierz M. Slomczynski, Spyros Blanas, and J. Craig Jenkins. SDRQuerier: A Visual Querying Framework for Cross-National Survey Data Recycling. IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE PacificVis 2023).
Yamei Tu, Xiaoqi Wang, Rui Qiu, Han-Wei Shen, Michelle Miller, Jinmeng Rao, Song Gao, Patrick R Huber, Allan D Hollander, Matthew Lange, Christian R Garcia, Joe Stubbs. ''An Interactive Knowledge and Learning Environment in Smart Foodsheds." IEEE Computer Graphics and Application 2023.
Ziwei Li, Jiayi Xu, Wei-Lun Chao, and Han-Wei Shen: Visual Analytics on Network Forgetting for Task-Incremental Learning. Computer Graphics Forum (Proc. EuroVis 2023).
2022
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), 229(1), 820-830, 2023. [Best Paper Honorable Mention Award at IEEE VIS 2022]
Yamei Tu, Rui Qiu, Yu-Shuen Wang, Po-Yin Yen, and Han-Wei Shen. "PhraseMap: Attention-Based Keyphrases Recommendation for Information Seeking." IEEE Transactions on Visualization and Computer Graphics (2022).
Skylar W. Wurster, Hanqi Guo, Han-Wei Shen, Tom Peterka, Jiayi Xu: Deep Hierarchical Super Resolution for Scientific Data. IEEE Transactions on Visualization and Computer Graphics (2022) (Early Access)
Rui Qiu, Yamei Tu, Yu-Shuen Wang, Po-Yin Yen, Han-Wei Shen: DocFlow: A Visual Analytics System for Question-based Document Retrieval and Categorization. IEEE Transactions on Visualization and Computer Graphics 2022
Haoyu Li, Junpeng Wang, Yan Zheng, Liang Wang, Wei Zhang, and Han-Wei Shen: Compressing and Interpreting Word Embeddings with Latent Space Regularization and Interactive Semantics Probing, Information Visualization 2022
Haoyu Li, Tianyu Xiong, and Han-Wei Shen: Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset, 2022 IEEE Visualization Conference (VIS) Short Paper.
Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, and Han-Wei Shen: IDLat: An Importance-Driven Latent Generation Method for Scientific Data, IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2022)
Haoyu Li and Han-Wei Shen: Local Latent Representation based on Geometric Convolution for Particle Data Feature Exploration, IEEE Transactions on Visualization and Computer Graphics (2022) (Early Access)
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka: Reinforcement Learning for Load-balanced Parallel Particle Tracing, IEEE Transactions on Visualization and Computer Graphics 29(6): 3052-3066, 2023
Neng Shi, Jiayi Xu, Skylar W. 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.
Ziwei Li, Hong-You Chen, Han-Wei Shen, and Wei-Lun Chao: Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study, Workshop on Federated Learning: Recent Advances and New Challenges (in Conjunction with NeurIPS 2022)
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 Transactions on Visualization and Computer Graphics 27 (6), 2808-2820 (2021) [Best Paper Award at IEEE PacificVis 2021 ]
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd Munson, 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)
Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Moller, Robert S. Laramee, Han-Wei Shen, Katharina Wunsche, Qiru Wang: VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications, IEEE Transactions on Visualization and Computer Graphics (2021) (Early Access)
Yamei Tu, Jiayi Xu, Han-Wei Shen: KeywordMap: Attention-based Visual Exploration for Keyword Analysis, Pacific Visualization Symposium (PacificVis), 2021 IEEE, 206-215
Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen: DeepGD: A Deep Learning Framework for Graph Drawing Using GNN, IEEE Computer Graphics and Applications (2021)
Yifei An, Han-Wei Shen, Guihua Shan, Guan Li, Jun Liu: STSRNet: Deep Joint Space-Time Super-Resolution for Vector Field Visualization, IEEE Computer Graphics and Applications (2021) (Early Access)
Jingyi Shen, Han-Wei Shen: An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks, In Proceedings of Smart Tools and Apps for Graphics (STAG) - Eurographics Italian Chapter Conference, 2021
Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, and Han-Wei Shen: IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms, In Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2021.
Xiaonan Ji, Yamei Tu, Wenbin He, Junpeng Wang, Han-Wei Shen, and Po-Yin Yen: USEVis: Visual analytics of attention-based neural embedding in information retrieval, Visual Informatics (2021).
Xiaoyang Han, Han-Wei Shen, Guan Li, Xuyi Lu, Guihua Shan, and Yangang Wang: IVDAS: an interactive visual design and analysis system for image data symmetry detection of CNN models, Journal of Visualization 24, no. 3 (2021): 615-629.
Shiyu Cheng, Hanwei Shen, Guihua Shan, Beifang Niu, and Weihua Bai: Visual analysis of meteorological satellite data via model-agnostic meta-learning, Journal of Visualization 24, no. 2 (2021): 301-315.
Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles: Document Domain Randomization for Deep Learning Document Layout Extraction, In Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2021
2020
Jiayi Xu, Soumya Dutta, Wenbin He, Joachim Moortgat, and Han-Wei Shen: Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers, IEEE Transactions on Visualization and Computer Graphics 28 (3): 1514-1528 (2020)
Guan Li, Junpeng Wang, Han-Wei Shen, Kaixin Chen, Guihua Shan, and Zhonghua Lu: CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics, IEEE Transactions on Visualization and Computer Graphics (2020) (Early Access)
Guan Li, Jiayi Xu, Tianchi Zhang, Guihua Shan, Han-Wei Shen, Ko-Chih Wang, Shihong Liao, and Zhonghua Lu: Distribution-based Particle Data Reduction for In-situ Analysis and Visualization of Large-scale N-body Cosmological Simulations, Pacific Visualization Symposium (PacificVis), 2020 IEEE, 171-180
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 27, no. 3 (2020): 033703
Wenbin He, Teng-Yok Lee, Jeroen van Baar, Kent Wittenburg, and Han-Wei Shen: DynamicsExplorer: Visual Analytics for Robot Control Tasks involving Dynamics and LSTM-based Control Policies, Pacific Visualization Symposium (PacificVis), 2020 IEEE, 36-45
Wenbin He, Junpeng Wang, Hanqi Guo, Han-Wei Shen, and Tom Peterka: CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks, Visual Informatics (2020)
Jingyi Shen, Runqi Wang, and Han-Wei Shen: Visual exploration of latent space for traditional Chinese music, Visual Informatics (2020)
Piyush Chawla, Subhashis Hazarika, and Han-Wei Shen: Token-wise sentiment decomposition for ConvNet: Visualizing a sentiment classifier, Visual Informatics (2020)
Kaixin Chen, Yang Wang, Minzhu Yu, Han-Wei Shen, Xiaomin Yu, and Guihua Shan: ConfVisExplorer: a literature-based visual analysis system for conference comparison, Journal of Visualization (2020): 1-15
Hank Childs et al.: A terminology for in situ visualization and analysis systems, The International Journal of High Performance Computing Applications (2020): 1094342020935991.
2019
Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef SG Nashed, and Tom Peterka: InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations, IEEE Transactions on Visualization and Computer Graphics 26 (1), 23-33 (2020), [Best Paper Award at IEEE VIS 2019]
Subhashis Hazarika, Haoyu Li, Ko-Chih Wang, Han-Wei Shen, and Ching-Shan Chou: NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation, IEEE Transactions on Visualization and Computer Graphics 26 (1), 34-44 (2020), [Best Paper Honorable Mention Award at IEEE VIS 2019]
Junpeng Wang, Liang Gou, Wei Zhang, Hao Yang, Han-Wei Shen: DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation, IEEE Transactions on Visualization and Computer Graphics 25 (6), 2168-2180
Xiaonan Ji, Han-Wei Shen, Raghu Machiraju, Alan Ritter, and Po-Yin Yen: Visual Exploration of Neural Document Embedding in Information Retrieval: Semantics and Feature Selection, IEEE Transactions on Visualization and Computer Graphics 25 (6), 2181-2192
Subhashis Hazarika, Soumya Dutta, Han-Wei Shen, Jen-Peng Chen: CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data , IEEE Transactions on Visualization and Computer Graphics 25 (1), 1214-1224 (2019)
Junpeng Wang, Subhashis Hazarika, Cheng Li, and Han-Wei Shen: Visualization and Visual Analysis of Ensemble Data: A Survey, IEEE Transactions on Visualization and Computer Graphics 25 (9), 2853-2872 (2019)
Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, and Tom Peterka: Extreme-scale stochastic particle tracing for uncertain unsteady flow analysis, IEEE Transactions on Visualization and Computer Graphics 25 (9), 2710-2724 (2019)
Ko-Chih Wang, Tzu-Hsuan Wei, Naeem Shareef, and Han-Wei Shen: Ray-based Exploration of Large Time-varying Volume Data Using Per-ray Proxy Distributions, IEEE Transactions on Visualization and Computer Graphics, 2019 (Early Access)
Cheng Li, and Han-Wei Shen: Object-in-Hand Feature Displacement with Physically-Based Deformation, Pacific Visualization Symposium (PacificVis), 2019 IEEE, 21-30
Ko-Chih Wang, Jiayi Xu, Jonathan Woodring, and Han-Wei Shen: Statistical Super Resolution for Data Analysis and Visualization of Large Scale Cosmological Simulations, Pacific Visualization Symposium (PacificVis), 2019 IEEE, 303-312
Yang Wang, Minzhu Yu, Guihua Shan, Han-Wei Shen, and Zhonghua Lu: VISPubComPAS: a comparative analytical system for visualization publication data, Journal of Visualization 22 (5), 941-953 (2019)
2018
Junpeng Wang, Liang Gou, Han-Wei Shen, Hao Yang : DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks, IEEE Transactions on Visualization and Computer Graphics 25 (1), 288-298, [Best Paper Honorable Mention Award at IEEE VAST 2018]
Junpeng Wang, Liang Gou, Hao Yang, and Han-Wei Shen: GANViz: A Visual Analytics Approach to Understand the Adversarial Game, IEEE Transactions on Visualization and Computer Graphics, 24 (6), 1905-1917 (2018) [Best Paper Award at IEEE PacificVis 2018 ]
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 Proceedings of 2018 IEEE Symposium on Large Data Analysis and Visualization, 2018. [Best Paper Honorable Mention at LDAV 2018]
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, 2018 (Early Access)
Subhashis Hazarika, Ayan Biswas, Han-Wei Shen: Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models, IEEE Transactions on Visualization and Computer Graphics , 24(1): 934-943 (2018)
Ko-Chih Wang, Naeem Shareef, and Han-Wei Shen: Image and Distribution Based Volume Rendering for Large Data Sets, Pacific Visualization Symposium (PacificVis), 2018 IEEE, 26-35
Tzu-Hsuan Wei, Soumya Dutta, and Han-Wei Shen: Information Guided Data Sampling and Recovery using Bitmap Indexing, Pacific Visualization Symposium (PacificVis), 2018 IEEE, 56-65
Soumya Dutta, Han-Wei Shen, and Jen-Ping Chen: In Situ Prediction Driven Feature Analysis in Jet Engine Simulations, Pacific Visualization Symposium (PacificVis), 2018 IEEE, 66-75
Cheng Li, Joachim Moortgat, and Han-Wei Shen: An Automatic Data Deformation Approach for Occlusion Free Egocentric Data Exploration, Pacific Visualization Symposium (PacificVis), 2018 IEEE, 215-224
Subhashis Hazarika, Ayan Biswas, Soumya Dutta, and Han-Wei Shen: Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets, Entropy 2018, 20(7), 540 .
Xiaotong Liu, Yifan Hu, Stephen North, and Han‐Wei Shen: CorrelatedMultiples: Spatially Coherent Small Multiples With Constrained Multi‐Dimensional Scaling, Computer Graphics Forum 37 (1), 7-18 (2018)
Huijie Zhang, Dezhan Qu, Quanle Liu, Qi Shang, Yafang Hou, and Han-Wei Shen: Uncertainty visualization for variable associations analysis, The Visual Computer 34 (4), 531-549 (2018)
2017
Cheng Li, Han-Wei Shen: Winding Angle Assisted Particle Tracing in Distribution-Based Vector Field, SIGGRAPH Asia Symposium on Visualization 2017. [Best Paper Honorable Mention award]
Soumya Dutta, Xiaotong Liu, Ayan Biswas, Han-Wei Shen, and Jen-Ping Chen: Pointwise Information Guided Visual Analysis of Time-varying Multi-fields, SIGGRAPH Asia Symposium on Visualization 2017
Junpeng Wang, Xiaotong Liu, Han-Wei Shen: High-dimensional data analysis with subspace comparison using matrix visualization, Information Visualization 2017
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)
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)
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)
Cheng Li, Xin Tong, Han-Wei Shen: Virtual retractor: An interactive data exploration system using physically based deformation. PacificVis 2017: 51-60
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
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
Kewei Lu, Han-Wei Shen: Multivariate volumetric data analysis and visualization through bottom-up subspace exploration. PacificVis 2017: 141-150
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
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
Gregory Heinlein, Jen-Ping Chen, Chun-Ming Chen, Soumya Dutta, Han-Wei Shen : Statistical Anomaly Based Study of Rotating Stall in a Transonic Axial Compressor Stage, ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition , 2017
2016
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). [Best Paper Honorable Mention award at IEEE SciVis 2016]
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)
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)
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)
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)
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)
Subhashis Hazarika, Soumya Dutta, Han-Wei Shen: Visualizing the variations of ensemble of isosurfaces. PacificVis (Notes) 2016: 209-213
Wenbin He, Chun-Ming Chen, Xiaotong Liu, Han-Wei Shen: A Bayesian approach for probabilistic streamline computation in uncertain flows. PacificVis (Notes) 2016: 214-218
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
2015
Xiaotong Liu, Han-Wei Shen, Yifan Hu: Supporting multifaceted viewing of word clouds with focus+context display. Information Visualization 14(2): 168-180 (2015)
Xin Tong, Chun-Ming Chen, Han-Wei Shen, Pak Chung Wong: Interactive streamline exploration and manipulation using deformation. PacificVis 2015: 1-8
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
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
Xiaotong Liu, Han-Wei Shen: The Effects of Representation and Juxtaposition on Graphical Perception of Matrix Visualization. CHI 2015: 269-278
Kewei Lu, Han-Wei Shen: A compact multivariate histogram representation for query-driven visualization. LDAV 2015: 49-56
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
Tzu-Hsuan Wei, Chun-Ming Chen and Ayan Biswas: Efficient Local Histogram Searching via Bitmap Indexing, Computer Graphics Forum. Vol. 34, No. 3, 2015
2014
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)
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)
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
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
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
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
Kewei Lu, Han-Wei Shen, Tom Peterka: Scalable Computation of Stream Surfaces on Large Scale Vector Fields. SC 2014: 1008-1019
Ayan Biswas, Han-Wei Shen: Evaluation of stream surfaces using error quantification metrics. Visualization and Data Analysis 2014: 90170Z
2013
Thomas Kerwin, Don Stredney, Gregory J. Wiet, Han-Wei Shen: Virtual mastoidectomy performance evaluation through multi-volume analysis. Int. J. Computer Assisted Radiology and Surgery 8(1): 51-61 (2013)
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 Applications33(4): 29-37 (2013)
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)
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)
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)
Ying Tu, Han-Wei Shen: GraphCharter: Combining browsing with query to explore large semantic graphs. PacificVis 2013: 49-56
Steven Martin, Han-Wei Shen: Transformations for volumetric range distribution queries. PacificVis 2013: 89-96
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
Xiaotong Liu, Yifan Hu, Stephen C. North, Han-Wei Shen: CompactMap: A mental map preserving visual interface for streaming text data. BigData Conference 2013: 48-55
Chun-Ming Chen, Han-Wei Shen: Graph-based seed scheduling for out-of-core FTLE and pathline computation. LDAV 2013: 15-23
Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Tom Peterka: Efficient range distribution query in large-scale scientific data. LDAV 2013: 125-126
Steven Martin, Han-Wei Shen: Stereo frame decomposition for error-constrained remote visualization. Visualization and Data Analysis 2013: 86540A
2012
Thomas Kerwin, Gregory J. Wiet, Don Stredney, Han-Wei Shen: Automatic scoring of virtual mastoidectomies using expert examples. Int. J. Computer Assisted Radiology and Surgery 7(1): 1-11 (2012)
Pak Chung Wong, Han-Wei Shen, Valerio Pascucci: Extreme-Scale Visual Analytics. IEEE Computer Graphics and Applications 32(4): 23-25 (2012)
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)
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)
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
Steven Martin, Han-Wei Shen: Interactive transfer function design on large multiresolution volumes. LDAV 2012: 19-22
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
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
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
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
Abon Chaudhuri, Han-Wei Shen: A self-adaptive technique for visualizing geospatial data in 3D with minimum occlusion. Visualization and Data Analysis 2012: 82940I
2011
Chaoli Wang, Han-Wei Shen: Information Theory in Scientific Visualization. Entropy 13(1): 254-273 (2011)
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)
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)
Teng-Yok Lee, Oleg Mishchenko, Han-Wei Shen, Roger Crawfis: View point evaluation and streamline filtering for flow visualization. PacificVis 2011: 83-90
Boonthanome Nouanesengsy, James P. Ahrens, Jonathan Woodring, Han-Wei Shen: Revisiting Parallel Rendering for Shared Memory Machines. EGPGV 2011: 31-40
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
Steven Martin, Han-Wei Shen: Histogram spectra for multivariate time-varying volume LOD selection. LDAV 2011: 39-46
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
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
James P. Ahrens, Han-Wei Shen: Guest Editors' Introduction: Ultrascale Visualization. IEEE Computer Graphics and Applications 30(3): 20-21 (2010)
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)
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)
Lijie Xu, Teng-Yok Lee, Han-Wei Shen: An Information-Theoretic Framework for Flow Visualization. IEEE Trans. Vis. Comput. Graph. 16(6): 1216-1224 (2010)
Teng-Yok Lee, Abon Chaudhuri, Fatih Porikli, Han-Wei Shen: CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video. PacificVis 2010: 89-96
Stephen C. North, Han-Wei Shen, Jarke J. van Wijk: A message from the program chairs. PacificVis 2010
Steven Martin, Han-Wei Shen, Patrick S. McCormick: Load-Balanced Isosurfacing on Multi-GPU Clusters. EGPGV 2010: 91-100
Wesley Kendall, Tom Peterka, Jian Huang, Han-Wei Shen, Robert B. Ross: Accelerating and Benchmarking Radix-k Image Compositing at Large Scale. EGPGV 2010: 101-110
Thomas Kerwin, Bradley Hittle, Han-Wei Shen, Don Stredney, Gregory J. Wiet: Anatomical Volume Visualization with Weighted Distance Fields. VCBM 2010: 117-124
Lijie Xu, Han-Wei Shen: Flow Web: a graph based user interface for 3D flow field exploration. VDA 2010: 75300
2009
Jonathan Woodring, Han-Wei Shen: Semi-Automatic Time-Series Transfer Functions via Temporal Clustering and Sequencing. Comput. Graph. Forum 28(3): 791-798 (2009)
Firdaus Janoos, Boonthanome Nouanesengsy, Raghu Machiraju, Han-Wei Shen, Steffen Sammet, Michael V. Knopp, István Ákos Mórocz: Visual Analysis of Brain Activity from fMRI Data. Comput. Graph. Forum 28(3): 903-910 (2009)
Jonathan Woodring, Han-Wei Shen: Multiscale Time Activity Data Exploration via Temporal Clustering Visualization Spreadsheet. IEEE Trans. Vis. Comput. Graph. 15(1): 123-137 (2009)
Thomas Kerwin, Han-Wei Shen, Don Stredney: Enhancing Realism of Wet Surfaces in Temporal Bone Surgical Simulation. IEEE Trans. Vis. Comput. Graph. 15(5): 747-758 (2009)
Teng-Yok Lee, Han-Wei Shen: Visualization and Exploration of Temporal Trend Relationships in Multivariate Time-Varying Data. IEEE Trans. Vis. Comput. Graph. 15(6): 1359-1366 (2009)
Teng-Yok Lee, Han-Wei Shen: Visualizing time-varying features with TAC-based distance fields. PacificVis 2009: 1-8
Zhiyan Du, Yi-Jen Chiang, Han-Wei Shen: Out-of-core volume rendering for time-varying fields using a space-partitioning time (SPT) tree. PacificVis 2009: 73-80
Abon Chaudhuri, Han-Wei Shen: A self-adaptive treemap-based technique for visualizing hierarchical data in 3D. PacificVis 2009: 105-112
Boonthanome Nouanesengsy, Sang-Cheol Seok, Han-Wei Shen, Veronica J. Vieland: Using projection and 2D plots to visually reveal genetic mechanisms of complex human disorders. IEEE VAST 2009: 171-178
Tom Peterka, David Goodell, Robert B. Ross, Han-Wei Shen, Rajeev Thakur: A configurable algorithm for parallel image-compositing applications. SC 2009
2008
Yuan Hong, Han-Wei Shen: Parallel reflective symmetry transformation for volume data. Computers & Graphics 32(1): 41-54 (2008)
Ying Tu, Han-Wei Shen: Balloon Focus: a Seamless Multi-Focus+Context Method for Treemaps. IEEE Trans. Vis. Comput. Graph. 14(6): 1157-1164 (2008)
Steven Martin, Han-Wei Shen, Ravi Samtaney: Efficient Rendering of Extrudable Curvilinear Volumes. PacificVis 2008: 1-8
Guangfeng Ji, Han-Wei Shen, Jinzhu Gao: Interactive Exploration of Remote Isosurfaces with Point-Based Non-Photorealistic Rendering. PacificVis 2008: 25-32
Liya Li, Hsien-Hsi Hsieh, Han-Wei Shen: Illustrative Streamline Placement and Visualization. PacificVis 2008: 79-86
Aidong Lu, Han-Wei Shen: Interactive Storyboard for Overall Time-Varying Data Visualization. PacificVis 2008: 143-150
Liang Chen, Han-Wei Shen, Gagan Agrawal: Supporting a visualization application on a self-adapting grid middleware. IPDPS 2008: 1-8
2007
Chaoli Wang, Antonio Garcia, Han-Wei Shen: Interactive Level-of-Detail Selection Using Image-Based Quality Metric for Large Volume Visualization. IEEE Trans. Vis. Comput. Graph.13(1): 122-134 (2007)
Liya Li, Han-Wei Shen: Image-Based Streamline Generation and Rendering. IEEE Trans. Vis. Comput. Graph. 13(3): 630-640 (2007)
Ying Tu, Han-Wei Shen: Visualizing Changes of Hierarchical Data using Treemaps. IEEE Trans. Vis. Comput. Graph. 13(6): 1286-1293 (2007)
Yuan Hong, Han-Wei Shen: Parallel Reflective Symmetry Transformation for Volume Data. EGPGV 2007: 77-83
Jonathan Woodring, Han-Wei Shen: Incorporating highlighting animations into static visualizations. Visualization and Data Analysis 2007: 649503
2006
Jonathan Woodring, Han-Wei Shen: Multi-variate, Time Varying, and Comparative Visualization with Contextual Cues. IEEE Trans. Vis. Comput. Graph. 12(5): 909-916 (2006)
Chaoli Wang, Han-Wei Shen: LOD Map - A Visual Interface for Navigating Multiresolution Volume Visualization. IEEE Trans. Vis. Comput. Graph. 12(5): 1029-1036 (2006)
Guangfeng Ji, Han-Wei Shen: Dynamic View Selection for Time-Varying Volumes. IEEE Trans. Vis. Comput. Graph. 12(5): 1109-1116 (2006)
James P. Ahrens, Hank Childs, John Clyne, Wes Bethel, Jian Huang, Scott Klasky, Kwan-Liu Ma, Kenneth Moreland, Michael E. Papka, Valerio Pascucci, Han-Wei Shen, Deborah Silver: Ultra-scale visualization - Workshop on ultra-scale visualization. SC 2006: 235
Liya Li, Han-Wei Shen: View-dependent multiresolutional flow texture advection. Visualization and Data Analysis 2006: 606003
Naeem Shareef, Teng-Yok Lee, Han-Wei Shen, Klaus Mueller: An Image-Based Modelling Approach To GPU-based Unstructured Grid Volume Rendering. Volume Graphics 2006: 31-38
Thomas Kerwin, Han-Wei Shen, Don Stredney: Capture and Review of Interactive Volumetric Manipulations for Surgical Training. Volume Graphics 2006: 71-74
2005
Bruno Raffin, Han-Wei Shen, Dirk Bartz: Parallel graphics and visualization. Parallel Computing 31(2): 147-148 (2005)
Jinzhu Gao, Chaoli Wang, Liya Li, Han-Wei Shen: A parallel multiresolution volume rendering algorithm for large data visualization. Parallel Computing 31(2): 185-204 (2005)
Antonio Garcia, Han-Wei Shen: GPU-based 3D wavelet reconstruction with tileboarding. The Visual Computer 21(8-10): 755-763 (2005)
Chaoli Wang, Han-Wei Shen: Hierarchical Navigation Interface: Leveraging Multiple Coordinated Views for Level-of-Detail Multiresolution Volume Rendering of Large Scientific Data Sets. IV 2005: 259-267
Chaoli Wang, Jinzhu Gao, Liya Li, Han-Wei Shen: A Multiresolution Volume Rendering Framework for Large-Scale Time-Varying Data Visualization. Volume Graphics 2005: 11-19
Udeepta Bordoloi, Han-Wei Shen: View Selection for Volume Rendering. IEEE Visualization 2005: 487-494
2004
Udeepta Bordoloi, David L. Kao, Han-Wei Shen: Visualization techniques for spatial probability density function data. Data Science Journal 3: 153-162 (2004)
Han-Wei Shen, Guo-Shi Li, Udeepta Bordoloi: Interactive Visualization of Three-Dimensional Vector Fields with Flexible Appearance Control. IEEE Trans. Vis. Comput. Graph. 10(4): 434-445 (2004)
Chaoli Wang, Jinzhu Gao, Han-Wei Shen: Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing. EGPGV 2004: 23-30
Udeepta Bordoloi, David L. Kao, Han-Wei Shen: Visualization and exploration of spatial probability density functions: a clustering-based approach. Visualization and Data Analysis 2004: 57-64
Guangfeng Ji, Han-Wei Shen: Efficient Isosurface Tracking Using Precomputed Correspondence Table. VisSym 2004: 283-292
Jinzhu Gao, Han-Wei Shen, Jian Huang, James Arthur Kohl: Visibility Culling for Time-Varying Volume Rendering Using Temporal Occlusion Coherence. IEEE Visualization 2004: 147-154
2003
S. Senapathi, B. Chandrasekaran, Don Stredney, Han-Wei Shen, Dhabaleswar K. Panda: QoS-Aware Middleware for Cluster-Based Servers to support Interactive and Resource-Adaptive Applications. HPDC 2003: 205-215
Jonathan Woodring, Han-Wei Shen: Chronovolumes: A Direct Rendering Technique for Visualizing Time-Varying Data. Volume Graphics 2003: 27-34
Jinzhu Gao, Han-Wei Shen: Hardware-assisted View-dependent Isosurface Extraction using Spherical Partition. VisSym 2003: 267-276
Udeepta Bordoloi, Han-Wei Shen: Space Efficient Fast Isosurface Extraction for Large Datasets. IEEE Visualization 2003: 201-208
Guangfeng Ji, Han-Wei Shen, Rephael Wenger: Volume Tracking Using Higher Dimensional Isocontouring. IEEE Visualization 2003: 209-216
Guo-Shi Li, Udeepta Bordoloi, Han-Wei Shen: Chameleon: An interactive texture-based rendering framework for visualizing three-dimensional vector fields. IEEE Visualization 2003: 241-248
Jinzhu Gao, Jian Huang, Han-Wei Shen, James Arthur Kohl: Visibility Culling Using Plenoptic Opacity Functions for Large Data Visualization. IEEE Visualization 2003: 341-348
Jonathan Woodring, Chaoli Wang, Han-Wei Shen: High Dimensional Direct Rendering of Time-Varying Volumetric Data. IEEE Visualization 2003: 417-424
2002
Udeepta Bordoloi, Han-Wei Shen: Hardware Accelerated Interactive Vector Field Visualization: A level of detail approach. Comput. Graph. Forum 21(3): 605-614 (2002)
Xinyue Li, Han-Wei Shen: Time-critical multiresolution volume rendering using 3D texture mapping hardware. VolVis 2002: 29-36
U. Bordoloi, H. Shen, and DL Kao. Understanding time-varying map data using spatio-temporal clustering. Eos Transactions AGU, Fall Meet. Suppl., Abstract NG12A-1018, 83(47), 2002.
Antonio Garcia and Han-Wei Shen. An interleaved parallel volume renderer with pc-clusters. In EGPGV '02: Proceedings of the Eurographics Workshop on Parallel Graphics and Visualization 2002, pages 51-59.
Guangfeng Ji, Han-Wei Shen, and Jinzhu Gao. Remote exploration of isosurfaces with point-based non-photorealistic rendering. In Vis '02: IEEE Visualization 2002, 2002. Poster.
Sandhya Senapathi, Dhabaleswar K. Panda, Don Stredney, and Han-Wei Shen. A qos framework for clusters to support applications with resource adaptivity and predictable performance. In Proceedings of the IEEE International Workshop on Quality of Service 2002, pages 180-190, 2002.
2001
Jinzhu Gao, Han-Wei Shen, Antonio Garcia: Parallel View Dependent Isosurface Extraction for Large Scale Data Visualization. PPSC 2001
Jinzhu Gao, Han-Wei Shen: Parallel view-dependent isosurface extraction using multi-pass occlusion culling. IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2001: 67-74
Xinyue Li, Han-Wei Shen: Adaptive Volume Rendering using Fuzzy Logic Control. VisSym 2001: 253-262
Han-Wei Shen and Xinyue Li. Time-critical volume rendering. In ACM SIGGRAPH 2001 Technical Sketches and Applications, 2001.
2000
Philip M. Sutton, Charles D. Hansen, Han-Wei Shen, Daniel Schikore: A Case Study of Isosurface Extraction Algorithm Performance. VisSym 2000: 259-268
David Ellsworth, Ling-Jen Chiang, Han-Wei Shen: Accelerating time-varying hardware volume rendering using TSP trees and color-based error metrics. VVS 2000: 119-128
Udeepta Bordoloi and Han-Wei Shen. Hierarchical LIC for vector field visualization. In NSF/DoE Lake Tahoe Workshop on Hierarhical Approximation and Geometrical Methods for Scientific Visualization, 2000.
Roger A. Crawfis, Han-Wei Shen, and Nelson Max. Flow visualization techniques for CFD using volume rendering. In 9th International Symposium on Flow Visualization, Edinburgh, Scotland, 2000.
Kwan-Liu Ma and Han-Wei Shen. Compression and accelerated rendering of time-varying volume data. In Proceedings of the International Computer Symposium-Workshop on Computer Graphics and Virtual Reality 2000, pages 82-89, 2000.
Kwan-Liu Ma and Han-Wei Shen. Visualization techniques for time-varying volume data. In International Computer Symposium 2000, 2000.
1999
Han-Wei Shen, Ling-Jan Chiang, Kwan-Liu Ma: A Fast Volume Rendering Algorithm for Time-Varying Fields Using a Time-Space Partitioning (TSP) Tree. IEEE Visualization 1999: 371-377
David L. Kao and Han-Wei Shen: Automatic surface flow feature visualization. Computational Fluid Dynamics Conference, 14 th, Norfolk, Collection of Technical Papers., 1:305-314, 1999.
Han-Wei Shen, David L. Kao, Ling-Jen Chiang, and Aleksandra Kuswik. Glic: An interactive software tool for visualizing surface flows. In 37th AIAA Aerospace Sciences Meeting and Exhibit, 1999.
1998
Han-Wei Shen, David L. Kao: A New Line Integral Convolution Algorithm for Visualizing Time-Varying Flow Fields. IEEE Trans. Vis. Comput. Graph. 4(2): 98-108 (1998)
Han-Wei Shen: Isosurface extraction in time-varying fields using a temporal hierarchical index tree. IEEE Visualization 1998: 159-166
David L. Kao and Han-Wei Shen. Numerical surface flow visualization. In Proceedings of the 36th AIAA Aerospace Sciences Meeting and Exhibit, pages 98-0076, 1998.
Kwan-Liu Ma, Diann Smith, Ming-Yun Shih, and Han-Wei Shen. Efficient encoding and rendering of time-varying volume data. Technical report, NASA/CR-1998-208424,ICASE Report No. 98-22, 1998.
1997
Han-Wei Shen, David L. Kao: UFLIC: a line integral convolution algorithm for visualizing unsteady flows. IEEE Visualization 1997: 317-322
Kwan-Liu Ma and Han-Wei Shen. 1997 SIGGRAPH course notes, chapter Some extensions to Line Integral Convolution. ACM Siggraph, 1997.
Han-Wei Shen: Using line-integral convolution to visualize dense vector fields. Computers in Physics, 11(5):474-478, 1997.
1996
Yarden Livnat, Han-Wei Shen, Christopher R. Johnson: A Near Optimal Isosurface Extraction Algorithm Using the Span Space. IEEE Trans. Vis. Comput. Graph. 2(1): 73-84 (1996)
Yarden Livnat, Han-Wei Shen, Christopher R. Johnson: Correction: A Near Optimal Isosurface Extraction Algorithm Using the Span Space. IEEE Trans. Vis. Comput. Graph. 2(2): 184 (1996)
Han-Wei Shen, Charles D. Hansen, Yarden Livnat, Christopher R. Johnson: Isosurfacing in Span Space with Utmost Efficiency (ISSUE). IEEE Visualization 1996: 287-294
Han-Wei Shen, Christopher R. Johnson, Kwan-Liu Ma: Visualizing Vector Fields Using Line Integral Convolution and Dye advection. VVS 1996: 63-70
1995
Han-Wei Shen, Christopher R. Johnson: Sweeping Simplices: A Fast Iso-Surface Extraction Algorithm for Unstructured Grids. IEEE Visualization 1995: 143-150
1994
Han-Wei Shen, Christopher R. Johnson: Differential Volume Rendering: A Fast Volume Visualization Technique for Flow Animation. IEEE Visualization 1994: 180-187
Han-Wei Shen, P. B. Gharpure, and Christopher R. Johnson: Visualization of 3-d wave propagation in the heart-a new technique. In Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers., pages 684-685, 1994.