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ORCIDHan-Wei Shen
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- affiliation: Ohio State University, Columbus, USA
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2020 – today
- 2024
[j107]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)- [j106]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) - [j105]Han-Wei Shen:
Message from the Editor-in-Chief. IEEE Trans. Vis. Comput. Graph. 30(1): xiv (2024) - [j104]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) - [j103]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) - [j102]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) - [j101]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) - [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 - [i32]Haoyu Li, Han-Wei Shen:
Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation. CoRR abs/2402.13861 (2024) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - 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]