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Han-Wei Shen
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- affiliation: Ohio State University, Columbus, USA
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2020 – today
- 2025
- [j113]Jingyi Shen, Yuhan Duan, Han-Wei Shen:
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification. IEEE Trans. Vis. Comput. Graph. 31(1): 635-644 (2025) - [j112]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) - [j111]Rui Qiu, Yamei Tu, Po-Yin Yen, Han-Wei Shen:
VADIS: A Visual Analytics Pipeline for Dynamic Document Representation and Information-Seeking. IEEE Trans. Vis. Comput. Graph. 31(1): 1312-1321 (2025) - [j110]Han-Wei Shen:
Message from the Editor-in-Chief. IEEE Trans. Vis. Comput. Graph. 31(1): xiii (2025) - [j109]Han-Wei Shen, Bongshin Lee:
2024 VGTC Visualization Technical Achievement Award. IEEE Trans. Vis. Comput. Graph. 31(1): xxxii-xxxiii (2025) - 2024
- [j108]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) - [j107]Jingyi Shen, Han-Wei Shen:
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data. IEEE Trans. Vis. Comput. Graph. 30(1): 986-996 (2024) - [j106]Han-Wei Shen:
Message from the Editor-in-Chief. IEEE Trans. Vis. Comput. Graph. 30(1): xiv (2024) - [j105]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 Trans. Vis. Comput. Graph. 30(2): 1533-1548 (2024) - [j104]Yamei Tu, Rui Qiu, Yu-Shuen Wang, Po-Yin Yen, Han-Wei Shen:
PhraseMap: Attention-Based Keyphrases Recommendation for Information Seeking. IEEE Trans. Vis. Comput. Graph. 30(3): 1787-1802 (2024) - [j103]Han-Wei Shen, Kiyoshi Kiyokawa:
Message from the Editor-in-Chief and from the Associate Editor-in-Chief. IEEE Trans. Vis. Comput. Graph. 30(5): viii (2024) - [j102]Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen:
SmartGD: A GAN-Based Graph Drawing Framework for Diverse Aesthetic Goals. IEEE Trans. Vis. Comput. Graph. 30(8): 5666-5678 (2024) - [j101]Han-Wei Shen, Kiyoshi Kiyokawa:
Message from the Editor-in-Chief and from the Associate Editor-in-Chief. IEEE Trans. Vis. Comput. Graph. 30(11): v-vi (2024) - [c121]Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren:
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CVPR 2024: 4187-4196 - [c120]Xiaoqi Wang, Han-Wei Shen:
GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries. ICLR 2024 - [c119]Yamei Tu, Rui Qiu, Han-Wei Shen:
KG-PRE-view: Democratizing a TVCG Knowledge Graph through Visual Explorations. PacificVis 2024: 162-171 - [c118]Haoyu Li, Isaac J. Michaud, Ayan Biswas, Han-Wei Shen:
Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data. PacificVis 2024: 252-261 - [i33]Haoyu Li, Han-Wei Shen:
Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation. CoRR abs/2402.13861 (2024) - [i32]Haoyu Li, Junpeng Wang, Yan Zheng, Liang Wang, Wei Zhang, Han-Wei Shen:
Compressing and Interpreting Word Embeddings with Latent Space Regularization and Interactive Semantics Probing. CoRR abs/2403.16815 (2024) - [i31]Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren:
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CoRR abs/2406.05271 (2024) - [i30]Jingyi Shen, Yuhan Duan, Han-Wei Shen:
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification. CoRR abs/2407.12884 (2024) - [i29]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) - [i28]Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao:
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction. CoRR abs/2409.11509 (2024) - 2023
- [j100]Yamei Tu, Xiaoqi Wang, Rui Qiu, Han-Wei Shen, Michelle Miller, Jinmeng Rao, Song Gao, Patrick R. Huber, Allan Hollander, Matthew Lange, Christian Garcia, Joe Stubbs:
An Interactive Knowledge and Learning Environment in Smart Foodsheds. IEEE Computer Graphics and Applications 43(3): 36-47 (2023) - [j99]Ziwei Li, Jiayi Xu, Wei-Lun Chao, Han-Wei Shen:
Visual Analytics on Network Forgetting for Task-Incremental Learning. Comput. Graph. Forum 42(3): 437-448 (2023) - [j98]Haoyu Li, Junpeng Wang, Yan Zheng, Liang Wang, Wei Zhang, Han-Wei Shen:
Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing. Inf. Vis. 22(1): 52-68 (2023) - [j97]Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, Han-Wei Shen:
IDLat: An Importance-Driven Latent Generation Method for Scientific Data. IEEE Trans. Vis. Comput. Graph. 29(1): 679-689 (2023) - [j96]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) - [j95]Han-Wei Shen:
Editor's Note. IEEE Trans. Vis. Comput. Graph. 29(4): 1910-1917 (2023) - [j94]Han-Wei Shen:
Editorial A Message from the New Editor-in-Chief. IEEE Trans. Vis. Comput. Graph. 29(4): 1918-1919 (2023) - [j93]Han-Wei Shen, Kiyoshi Kiyokawa:
IEEE VR 2023 Introducing the Special Issue. IEEE Trans. Vis. Comput. Graph. 29(5): vii (2023) - [j92]Yamei Tu, Olga Li, Junpeng Wang, Han-Wei Shen, Przemek Powalko, Irina Tomescu-Dubrow, Kazimierz M. Slomczynski, Spyros Blanas, J. Craig Jenkins:
SDRQuerier: A Visual Querying Framework for Cross-National Survey Data Recycling. IEEE Trans. Vis. Comput. Graph. 29(6): 2862-2874 (2023) - [j91]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) - [j90]Haoyu Li, Han-Wei Shen:
Local Latent Representation Based on Geometric Convolution for Particle Data Feature Exploration. IEEE Trans. Vis. Comput. Graph. 29(7): 3354-3367 (2023) - [j89]Han-Wei Shen, Kiyoshi Kiyokawa:
Message from the Editor-in-Chief and from the Associate Editor-in-Chief. IEEE Trans. Vis. Comput. Graph. 29(11): v (2023) - [j88]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) - [c117]Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao:
On the Importance and Applicability of Pre-Training for Federated Learning. ICLR 2023 - [c116]Xiaoqi Wang, Han-Wei Shen:
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks. ICLR 2023 - [c115]Ayan Biswas, Arindam Bhattacharya, Yi-Tang Chen, Han-Wei Shen:
Sub-Linear Time Sampling Approach for Large-Scale Data Visualization Using Reinforcement Learning. LDAV 2023: 12-16 - [c114]Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen:
Neural Stream Functions. PacificVis 2023: 132-141 - [i27]Jiayi Xu, Han-Wei Shen:
VMap: An Interactive Rectangular Space-filling Visualization for Map-like Vertex-centric Graph Exploration. CoRR abs/2306.00120 (2023) - [i26]Yamei Tu, Rui Qiu, Han-Wei Shen:
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs. CoRR abs/2306.04758 (2023) - [i25]Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen:
Neural Stream Functions. CoRR abs/2307.08142 (2023) - [i24]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) - [i23]Jingyi Shen, Han-Wei Shen:
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data. CoRR abs/2308.04605 (2023) - 2022
- [j87]Han-Wei Shen:
Scientific Visualization Using Neural Networks. Computer 55(7): 4-6 (2022) - [j86]Bongshin Lee, Silvia Miksch, Anders Ynnerman, Anastasia Bezerianos, Jian Chen, Wei Chen, Christopher Collins, Michael Gleicher, M. Eduard Gröller, Alexander Lex, Bernhard Preim, Jinwook Seo, Rüdiger Westermann, Jing Yang, Xiaoru Yuan, Han-Wei Shen, Jean-Daniel Fekete, Shixia Liu:
Preface. IEEE Trans. Vis. Comput. Graph. 28(1): xiv-xxiii (2022) - [j85]Jiayi Xu, Soumya Dutta, Wenbin He, Joachim Moortgat, Han-Wei Shen:
Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers. IEEE Trans. Vis. Comput. Graph. 28(3): 1514-1528 (2022) - [j84]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) - [c113]Haoyu Li, Tianyu Xiong, Han-Wei Shen:
Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset. IEEE VIS (Short Papers) 2022: 140-144 - [d2]Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert S. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang:
IEEE VIS Figures and Tables Image Dataset. IEEE DataPort, 2022 - [i22]Yamei Tu, Olga Li, Junpeng Wang, Han-Wei Shen, Przemek Powalko, Irina Tomescu-Dubrow, Kazimierz M. Slomczynski, Spyros Blanas, J. Craig Jenkins:
SQRQuerier: A Visual Querying Framework for Cross-national Survey Data Recycling. CoRR abs/2201.11125 (2022) - [i21]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) - [i20]Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen:
SmartGD: A Self-Challenging Generative Adversarial Network for Graph Drawing. CoRR abs/2206.06434 (2022) - [i19]Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao:
On Pre-Training for Federated Learning. CoRR abs/2206.11488 (2022) - [i18]Haoyu Li, Tianyu Xiong, Han-Wei Shen:
Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset. CoRR abs/2207.07224 (2022) - [i17]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) - [i16]Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, Han-Wei Shen:
IDLat: An Importance-Driven Latent Generation Method for Scientific Data. CoRR abs/2208.03345 (2022) - [i15]Jian Chen, Petra Isenberg, Robert S. Laramee, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Han-Wei Shen:
Not As Easy As You Think - Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology. CoRR abs/2209.07533 (2022) - [i14]Xiaoqi Wang, Han-Wei Shen:
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks. CoRR abs/2209.07924 (2022) - 2021
- [j83]Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen:
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN. IEEE Computer Graphics and Applications 41(5): 32-44 (2021) - [j82]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 41(6): 122-132 (2021) - [j81]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) - [j80]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) - [j79]Xiaoyang Han, Han-Wei Shen, Guan Li, Xuyi Lu, Guihua Shan, Yangang Wang:
IVDAS: an interactive visual design and analysis system for image data symmetry detection of CNN models. J. Vis. 24(3): 615-629 (2021) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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. IEEE Trans. Vis. Comput. Graph. 27(9): 3826-3833 (2021) - [j73]Xiaonan Ji, Yamei Tu, Wenbin He, Junpeng Wang, Han-Wei Shen, Po-Yin Yen:
USEVis: Visual analytics of attention-based neural embedding in information retrieval. Vis. Informatics 5(2): 1-12 (2021) - [c112]Yamei Tu, Jiayi Xu, Han-Wei Shen:
KeywordMap: Attention-based Visual Exploration for Keyword Analysis. PacificVis 2021: 206-215 - [c111]Jingyi Shen, Han-Wei Shen:
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks. STAG 2021: 163-173 - [c110]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. ICDAR (1) 2021: 497-513 - [c109]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 - [d1]Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles:
Three Benchmark Datasets for Scholarly Article Layout Analysis. IEEE DataPort, 2021 - [i13]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) - [i12]Haoyu Li, Han-Wei Shen:
Time Varying Particle Data Feature Extraction and Tracking with Neural Networks. CoRR abs/2105.13240 (2021) - [i11]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. CoRR abs/2105.14931 (2021) - [i10]Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen:
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN. CoRR abs/2106.15347 (2021) - [i9]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) - [i8]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
- [j72]Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta, Jean M. Favre, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler:
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (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 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
- [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
- [b1]Min Chen, Miquel Feixas, Ivan Viola, Anton Bardera, Han-Wei Shen, Mateu Sbert:
Information Theory Tools for Visualization. CRC Press 2016, ISBN 9781315369228 - [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]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) - [c51]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 - [c50]Stephen C. North, Han-Wei Shen, Jarke J. van Wijk:
A message from the program chairs. PacificVis 2010 - [c49]Steven Martin, Han-Wei Shen, Patrick S. McCormick:
Load-Balanced Isosurfacing on Multi-GPU Clusters. EGPGV@Eurographics 2010: 91-100 - [c48]Wesley Kendall, Tom Peterka, Jian Huang, Han-Wei Shen, Robert B. Ross:
Accelerating and Benchmarking Radix-k Image Compositing at Large Scale. EGPGV@Eurographics 2010: 101-110 - [c47]Thomas Kerwin, Bradley Hittle, Han-Wei Shen, Don Stredney, Gregory J. Wiet:
Anatomical Volume Visualization with Weighted Distance Fields. VCBM 2010: 117-124 - [c46]Lijie Xu, Han-Wei Shen:
Flow Web: a graph based user interface for 3D flow field exploration. VDA 2010: 75300
2000 – 2009
- 2009
- [j22]Jonathan Woodring, Han-Wei Shen:
Semi-Automatic Time-Series Transfer Functions via Temporal Clustering and Sequencing. Comput. Graph. Forum 28(3): 791-798 (2009) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [c45]Teng-Yok Lee, Han-Wei Shen:
Visualizing time-varying features with TAC-based distance fields. PacificVis 2009: 1-8 - [c44]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 - [c43]Abon Chaudhuri, Han-Wei Shen:
A self-adaptive treemap-based technique for visualizing hierarchical data in 3D. PacificVis 2009: 105-112 - [c42]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 - [c41]Tom Peterka, David Goodell, Robert B. Ross, Han-Wei Shen, Rajeev Thakur:
A configurable algorithm for parallel image-compositing applications. SC 2009 - [e3]Peter Eades, Thomas Ertl, Han-Wei Shen:
IEEE Pacific Visualization Symposium PacificVis 2009, Beijing, China, April 20-23, 2009. IEEE Computer Society 2009, ISBN 978-1-4244-4404-5 [contents] - 2008
- [j17]Yuan Hong, Han-Wei Shen:
Parallel reflective symmetry transformation for volume data. Comput. Graph. 32(1): 41-54 (2008) - [j16]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) - [c40]Steven Martin, Han-Wei Shen, Ravi Samtaney:
Efficient Rendering of Extrudable Curvilinear Volumes. PacificVis 2008: 1-8 - [c39]Guangfeng Ji, Han-Wei Shen, Jinzhu Gao:
Interactive Exploration of Remote Isosurfaces with Point-Based Non-Photorealistic Rendering. PacificVis 2008: 25-32 - [c38]Liya Li, Hsien-Hsi Hsieh, Han-Wei Shen:
Illustrative Streamline Placement and Visualization. PacificVis 2008: 79-86 - [c37]Aidong Lu, Han-Wei Shen:
Interactive Storyboard for Overall Time-Varying Data Visualization. PacificVis 2008: 143-150 - [c36]Liang Chen, Han-Wei Shen, Gagan Agrawal:
Supporting a visualization application on a self-adapting grid middleware. IPDPS 2008: 1-8 - 2007
- [j15]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) - [j14]Liya Li, Han-Wei Shen:
Image-Based Streamline Generation and Rendering. IEEE Trans. Vis. Comput. Graph. 13(3): 630-640 (2007) - [j13]Ying Tu, Han-Wei Shen:
Visualizing Changes of Hierarchical Data using Treemaps. IEEE Trans. Vis. Comput. Graph. 13(6): 1286-1293 (2007) - [c35]Yuan Hong, Han-Wei Shen:
Parallel Reflective Symmetry Transformation for Volume Data. EGPGV 2007: 77-83 - [c34]Jonathan Woodring, Han-Wei Shen:
Incorporating highlighting animations into static visualizations. Visualization and Data Analysis 2007: 649503 - 2006
- [j12]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) - [j11]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) - [j10]Guangfeng Ji, Han-Wei Shen:
Dynamic View Selection for Time-Varying Volumes. IEEE Trans. Vis. Comput. Graph. 12(5): 1109-1116 (2006) - [c33]James P. Ahrens, Hank Childs, John P. 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 - [c32]Liya Li, Han-Wei Shen:
View-dependent multiresolutional flow texture advection. Visualization and Data Analysis 2006: 606003 - [c31]Naeem Shareef, Teng-Yok Lee, Han-Wei Shen, Klaus Mueller:
An Image-Based Modelling Approach To GPU-based Unstructured Grid Volume Rendering. VG@SIGGRAPH 2006: 31-38 - [c30]Thomas Kerwin, Han-Wei Shen, Don Stredney:
Capture and Review of Interactive Volumetric Manipulations for Surgical Training. VG@SIGGRAPH 2006: 71-74 - 2005
- [j9]Bruno Raffin, Han-Wei Shen, Dirk Bartz:
Parallel graphics and visualization. Parallel Comput. 31(2): 147-148 (2005) - [j8]Jinzhu Gao, Chaoli Wang, Liya Li, Han-Wei Shen:
A parallel multiresolution volume rendering algorithm for large data visualization. Parallel Comput. 31(2): 185-204 (2005) - [j7]Antonio Garcia, Han-Wei Shen:
GPU-based 3D wavelet reconstruction with tileboarding. Vis. Comput. 21(8-10): 755-763 (2005) - [c29]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 - [c28]Chaoli Wang, Jinzhu Gao, Liya Li, Han-Wei Shen:
A Multiresolution Volume Rendering Framework for Large-Scale Time-Varying Data Visualization. VG 2005: 11-19 - [c27]Udeepta Bordoloi, Han-Wei Shen:
View Selection for Volume Rendering. IEEE Visualization 2005: 487-494 - [p1]Han-Wei Shen:
Time-Dependent Isosurface Extraction. The Visualization Handbook 2005: 57-67 - 2004
- [j6]Udeepta Bordoloi, David L. Kao, Han-Wei Shen:
Visualization techniques for spatial probability density function data. Data Sci. J. 3: 153-162 (2004) - [j5]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) - [c26]Chaoli Wang, Jinzhu Gao, Han-Wei Shen:
Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing. EGPGV 2004: 23-30 - [c25]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 - [c24]Guangfeng Ji, Han-Wei Shen:
Efficient Isosurface Tracking Using Precomputed Correspondence Table. VisSym 2004: 283-292 - [c23]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 - [e2]Bruno Raffin, Dirk Bartz, Han-Wei Shen:
5th Eurographics/ACM SIGGRAPH Symposium on Parallel Graphics and Visualization, EGPGV 2004, Grenoble, France, June 10-11, 2004. 2004, ISBN 3-905673-11-8 [contents] - 2003
- [c22]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 - [c21]Jonathan Woodring, Han-Wei Shen:
Chronovolumes: A Direct Rendering Technique for Visualizing Time-Varying Data. VG 2003: 27-34 - [c20]Jinzhu Gao, Han-Wei Shen:
Hardware-assisted View-dependent Isosurface Extraction using Spherical Partition. VisSym 2003: 267-276 - [c19]Udeepta Bordoloi, Han-Wei Shen:
Space Efficient Fast Isosurface Extraction for Large Datasets. IEEE Visualization 2003: 201-208 - [c18]Guangfeng Ji, Han-Wei Shen, Rephael Wenger:
Volume Tracking Using Higher Dimensional Isocontouring. IEEE Visualization 2003: 209-216 - [c17]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 - [c16]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 - [c15]Jonathan Woodring, Chaoli Wang, Han-Wei Shen:
High Dimensional Direct Rendering of Time-Varying Volumetric Data. IEEE Visualization 2003: 417-424 - 2002
- [j4]Udeepta Bordoloi, Han-Wei Shen:
Hardware Accelerated Interactive Vector Field Visualization: A level of detail approach. Comput. Graph. Forum 21(3): 605-614 (2002) - [c14]Antonio Garcia, Han-Wei Shen:
An interleaved parallel volume renderer with PC-clusters. EGPGV 2002: 51-59 - [c13]Xinyue Li, Han-Wei Shen:
Time-critical multiresolution volume rendering using 3D texture mapping hardware. VolVis 2002: 29-36 - 2001
- [c12]Jinzhu Gao, Han-Wei Shen, Antonio Garcia:
Parallel View Dependent Isosurface Extraction for Large Scale Data Visualization. PP 2001 - [c11]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 - [c10]Xinyue Li, Han-Wei Shen:
Adaptive Volume Rendering using Fuzzy Logic Control. VisSym 2001: 253-262 - 2000
- [c9]Philip M. Sutton, Charles D. Hansen, Han-Wei Shen, Daniel Schikore:
A Case Study of Isosurface Extraction Algorithm Performance. VisSym 2000: 259-268 - [c8]David A. 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
1990 – 1999
- 1999
- [c7]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 - [e1]James P. Ahrens, Alan Chalmers, Han-Wei Shen:
Proceedings of the 1999 IEEE Symposium on Parallel Visualization and Graphics, PVGS 1999, San Francisco, California, USA, October 25-26, 1999. IEEE Computer Society 1999, ISBN 978-1-58113-237-3 [contents] - 1998
- [j3]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) - [c6]Han-Wei Shen:
Isosurface extraction in time-varying fields using a temporal hierarchical index tree. IEEE Visualization 1998: 159-166 - 1997
- [c5]Han-Wei Shen, David L. Kao:
UFLIC: a line integral convolution algorithm for visualizing unsteady flows. IEEE Visualization 1997: 317-322 - 1996
- [j2]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) - [j1]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) - [c4]Han-Wei Shen, Charles D. Hansen, Yarden Livnat, Christopher R. Johnson:
Isosurfacing in Span Space with Utmost Efficiency (ISSUE). IEEE Visualization 1996: 287-294 - [c3]Han-Wei Shen, Christopher R. Johnson, Kwan-Liu Ma:
Visualizing Vector Fields Using Line Integral Convolution and Dye advection. VVS 1996: 63-70 - 1995
- [c2]Han-Wei Shen, Christopher R. Johnson:
Sweeping Simplices: A Fast Iso-Surface Extraction Algorithm for Unstructured Grids. IEEE Visualization 1995: 143-150 - 1994
- [c1]Han-Wei Shen, Christopher R. Johnson:
Differential Volume Rendering: A Fast Volume Visualization Technique for Flow Animation. IEEE Visualization 1994: 180-187
Coauthor Index
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