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D-Index & Metrics

Computer Science

D-Index
50
Citations
8559
World Ranking
5678
National Ranking
2581

Overview

Han-Wei Shen is affiliated with The Ohio State University in the United States. Their research primarily falls within the field of Computer Science, with a specific focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, and Transportation.

The scientist's work covers a range of topics closely connected to their academic interests. These main topics include:

  • Data Visualization and Analytics
  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Explainable Artificial Intelligence (XAI)
  • Advanced Image Processing Techniques
  • Video Analysis and Summarization

Han-Wei Shen has published extensively in various venues, notably contributing 32 papers to the IEEE Transactions on Visualization and Computer Graphics. Other frequent publication venues include arXiv (Cornell University), IEEE Computer Graphics and Applications, Visual Informatics, and the Journal of Visualization.

Some recent papers authored or co-authored by Han-Wei Shen are:

  • A terminology for in situ visualization and analysis systems, 2020, The International Journal of High Performance Computing Applications
  • CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics, 2020, IEEE Transactions on Visualization and Computer Graphics
  • VIS30K: A Collection of Figures and Tables From IEEE Visualization Conference Publications, 2021, IEEE Transactions on Visualization and Computer Graphics
  • GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations, 2022, IEEE Transactions on Visualization and Computer Graphics
  • Visual exploration of latent space for traditional Chinese music, 2020, Visual Informatics

Han-Wei Shen regularly collaborates with a group of frequent co-authors, including Hanqi Guo, Jiayi Xu, Skylar W. Wurster, Haoyu Li, and Tom Peterka. These collaborations reflect ongoing research relationships in topics related to visualization, computer graphics, and machine learning.

Best Publications

  • A near optimal isosurface extraction algorithm using the span space

    Y. Livnat;Han-Wei Shen;C.R. Johnson

  • A fast volume rendering algorithm for time-varying fields using a time-space partitioning (TSP) tree

    Han-Wei Shen;Ling-Jen Chiang;Kwan-Liu Ma

  • View selection for volume rendering

    U.D. Bordoloi;H.-W. Shen

  • Isosurfacing in span space with utmost efficiency (ISSUE)

    Han-Wei Shen;Charles D. Hansen;Yarden Livnat;Christopher R. Johnson

  • Visualizing Changes of Hierarchical Data using Treemaps

    Ying Tu;Han-Wei Shen

  • An Information-Theoretic Framework for Flow Visualization

    Lijie Xu;Teng-Yok Lee;Han-Wei Shen

  • The Top 10 Challenges in Extreme-Scale Visual Analytics

    Pak Chung Wong;Han-Wei Shen;Christopher R. Johnson;Chaomei Chen

  • Visualization and Visual Analysis of Ensemble Data: A Survey

    Junpeng Wang;Subhashis Hazarika;Cheng Li;Han-Wei Shen

  • A new line integral convolution algorithm for visualizing time-varying flow fields

    Han-Wei Shen;D.L. Kao

  • DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks

    Junpeng Wang;Liang Gou;Han-Wei Shen;Hao Yang

  • UFLIC: a line integral convolution algorithm for visualizing unsteady flows

    Han-Wei Shen;David L. Kao

  • Sweeping simplices: a fast iso-surface extraction algorithm for unstructured grids

    Han-Wei Shen;Christopher R. Johnson

  • Information Theory in Scientific Visualization

    Chaoli Wang;Han-Wei Shen

  • Visualizing vector fields using line integral convolution and dye advection

    Han-Wei Shen;Christopher R. Johnson;Kwan-Liu Ma

  • High dimensional direct rendering of time-varying volumetric data

    J. Woodring;Chaoli Wang;Han-Wei Shen

  • Differential volume rendering: a fast volume visualization technique for flow animation

    Han-Wei Shen;Christopher R. Johnson

  • Image-based streamline generation and rendering

    Liya Li;Han-Wei Shen

  • A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields

    Tom Peterka;Robert Ross;Boonthanome Nouanesengsy;Teng-Yok Lee

  • Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots

    Junpeng Wang;Xiaotong Liu;Han-Wei Shen;Guang Lin

  • Dynamic View Selection for Time-Varying Volumes

    Guangfeng Ji;Han-Wei Shen

  • Multi-variate, Time Varying, and Comparative Visualization with Contextual Cues

    J. Woodring;H.-W. Shen

Frequent Co-Authors

Kwan-Liu Ma
Kwan-Liu Ma University of California, Davis
Chris R. Johnson
Chris R. Johnson University of Utah
Chaoli Wang
Chaoli Wang University of Notre Dame
Robert Ross
Robert Ross Argonne National Laboratory
James Ahrens
James Ahrens Los Alamos National Laboratory
Mateu Sbert
Mateu Sbert University of Girona
Min Chen
Min Chen South China University of Technology
Valerio Pascucci
Valerio Pascucci University of Utah
Charles Hansen
Charles Hansen University of Utah
Ian Foster
Ian Foster University of Chicago

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