Han-Wei Shen

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 131

Top Venues

IEEE Trans. Vis. Comput. Graph.

CoRR

PacificVis

Vis. Informatics

Publications

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) (2024)
Jingyi Shen, Han-Wei Shen
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Han-Wei Shen
Message from the Editor-in-Chief. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
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) (2024)
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) (2024)
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) (2023)
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 (2023)
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) (2023)
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)
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) (2023)
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) (2023)
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) (2023)
Xiaoqi Wang, Han-Wei Shen
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks. ICLR (2023)
Haoyu Li, Han-Wei Shen
Local Latent Representation Based on Geometric Convolution for Particle Data Feature Exploration. IEEE Trans. Vis. Comput. Graph. 29 (7) (2023)
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) (2023)
Han-Wei Shen
Editor's Note. IEEE Trans. Vis. Comput. Graph. 29 (4) (2023)
Jiayi Xu, Han-Wei Shen
VMap: An Interactive Rectangular Space-filling Visualization for Map-like Vertex-centric Graph Exploration. CoRR (2023)
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)
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) (2023)
Jingyi Shen, Han-Wei Shen
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data. CoRR (2023)
Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Neural Stream Functions. PacificVis (2023)
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) (2023)
Han-Wei Shen
Editorial A Message from the New Editor-in-Chief. IEEE Trans. Vis. Comput. Graph. 29 (4) (2023)
Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Neural Stream Functions. CoRR (2023)
Han-Wei Shen, Kiyoshi Kiyokawa
IEEE VR 2023 Introducing the Special Issue. IEEE Trans. Vis. Comput. Graph. 29 (5) (2023)
Yamei Tu, Rui Qiu, Han-Wei Shen
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs. CoRR (2023)
Han-Wei Shen
Scientific Visualization Using Neural Networks. Computer 55 (7) (2022)
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 (2022)
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
On Pre-Training for Federated Learning. CoRR (2022)
Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, Han-Wei Shen
IDLat: An Importance-Driven Latent Generation Method for Scientific Data. CoRR (2022)
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 (2022)
Xiaoqi Wang, Han-Wei Shen
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks. CoRR (2022)
Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen
SmartGD: A Self-Challenging Generative Adversarial Network for Graph Drawing. CoRR (2022)
Haoyu Li, Tianyu Xiong, Han-Wei Shen
Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset. IEEE VIS (Short Papers) (2022)
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 (2022)
Haoyu Li, Tianyu Xiong, Han-Wei Shen
Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset. CoRR (2022)
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) (2022)
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) (2022)
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 (2022)
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) (2022)
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) (2021)
Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN. CoRR (2021)
Jingyi Shen, Han-Wei Shen
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks. STAG (2021)
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) (2021)
Haoyu Li, Han-Wei Shen
Time Varying Particle Data Feature Extraction and Tracking with Neural Networks. CoRR (2021)
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 (2021)
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 (2021)
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) (2021)
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka
Reinforcement Learning for Load-balanced Parallel Particle Tracing. CoRR (2021)
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) (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 Trans. Vis. Comput. Graph. 27 (6) (2021)
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 (2021)
Dmitriy Morozov, Tom Peterka, Hanqi Guo, Mukund Raj, Jiayi Xu, Han-Wei Shen
IExchange: Asynchronous Communication and Termination Detection for Iterative Algorithms. LDAV (2021)
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) (2021)
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) (2021)
Yamei Tu, Jiayi Xu, Han-Wei Shen
KeywordMap: Attention-based Visual Exploration for Keyword Analysis. PacificVis (2021)
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)
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) (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 41 (6) (2021)
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) (2021)
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) (2021)
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 (2020)
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) (2020)
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 (2020)
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)
Jingyi Shen, Han-Wei Shen
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks. CoRR (2020)
Wenbin He, Hanqi Guo, Han-Wei Shen, Tom Peterka
eFESTA: Ensemble Feature Exploration with Surface Density Estimates. IEEE Trans. Vis. Comput. Graph. 26 (4) (2020)
Jingyi Shen, Runqi Wang, Han-Wei Shen
Visual exploration of latent space for traditional Chinese music. Vis. Informatics 4 (2) (2020)
Guan Li, Junpeng Wang, Han-Wei Shen, Kaixin Chen, Guihua Shan, Zhonghua Lu
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics. CoRR (2020)
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) (2020)
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)
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) (2020)
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)
Kwan-Liu Ma, Han-Wei Shen
Foreword to the Special Issue on PacificVis 2020 Workshop on Visualization Meets AI. Vis. Informatics 4 (2) (2020)
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) (2020)
Piyush Chawla, Subhashis Hazarika, Han-Wei Shen
Token-wise sentiment decomposition for ConvNet: Visualizing a sentiment classifier. Vis. Informatics 4 (2) (2020)
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) (2019)
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) (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 Trans. Vis. Comput. Graph. 25 (6) (2019)
Cheng Li, Han-Wei Shen
Object-in-Hand Feature Displacement with Physically-Based Deformation. PacificVis (2019)
Junpeng Wang, Xiaotong Liu, Han-Wei Shen
High-dimensional data analysis with subspace comparison using matrix visualization. Inf. Vis. 18 (1) (2019)
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) (2019)
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)
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) (2019)
Yang Wang, Minzhu Yu, Guihua Shan, Han-Wei Shen, Zhonghua Lu
VISPubComPAS: a comparative analytical system for visualization publication data. J. Vis. 22 (5) (2019)
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 (2019)
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) (2019)
Jiayi Xu, Soumya Dutta, Wenbin He, Joachim Moortgat, Han-Wei Shen
Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers. CoRR (2019)
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 (2019)
Ko-Chih Wang, Naeem Shareef, Han-Wei Shen
Image and Distribution Based Volume Rendering for Large Data Sets. PacificVis (2018)
Tzu-Hsuan Wei, Soumya Dutta, Han-Wei Shen
Information Guided Data Sampling and Recovery Using Bitmap Indexing. PacificVis (2018)
Cheng Li, Joachim Moortgat, Han-Wei Shen
An Automatic Deformation Approach for Occlusion Free Egocentric Data Exploration. PacificVis (2018)
Subhashis Hazarika, Ayan Biswas, Han-Wei Shen
Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
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)
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) (2018)
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) (2018)
Huijie Zhang, Dezhan Qu, Quanle Liu, Qi Shang, Yafang Hou, Han-Wei Shen
Uncertainty visualization for variable associations analysis. Vis. Comput. 34 (4) (2018)
Subhashis Hazarika, Ayan Biswas, Soumya Dutta, Han-Wei Shen
Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets. Entropy 20 (7) (2018)
Soumya Dutta, Han-Wei Shen, Jen-Ping Chen
In Situ Prediction Driven Feature Analysis in Jet Engine Simulations. PacificVis (2018)
Cheng Li, Xin Tong, Han-Wei Shen
Virtual retractor: An interactive data exploration system using physically based deformation. PacificVis (2017)

Han-Wei Shen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Han-Wei Shen