Fan Hong 洪帆

PhD Student '12
Visualization and Visual Analytics Group (PKUVIS)

Key Laboratory of Machine Perception (Minister of Education), Center for Information Science, School of EECS
Peking University, Beijing. P.R.China
Email: hongfanxo [at] gmail [dot] com

I'm currently a PhD student in School of EECS, Peking University under the supervision of Prof. Yuan. My research interests are primarily in flow field visualization, ensemble visualization, and high performance visualization.

Education

Research

Publications

Journal and Conference Papers
  • Fan Hong, Jiang Zhang, and Xiaoru Yuan.
    Access Pattern Learning with Long Short-Term Memory for Parallel Particle Tracing.
    In Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2018), Kobe, Japan, Apr. 10-13, 2018. (Accepted)
    paper | |
  • Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, and Tom Peterka.
    Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing.
    IEEE Transactions on Visualization and Computer Graphics (SciVis '17), 24(1):954-963, 2018.
    paper | pdf 2.2MB |
  • Qingya Shu, Richen Liu, Fan Hong, Jiang Zhang, and Xiaoru Yuan
    State-of-the-Art Survey of Ensemble Visualization. Journal of Software, 29(2):1-18, 2018. (in Chinese)
    | DOI | PDF (1.5MB) |

  • Fan Hong, Chongke Bi, Hanqi Guo, Kenji Ono, Xiaoru Yuan.
    Compression-based Integral Curve Data Reuse Framework for Flow Visualization.
    Journal of Visualization, 20(4): 859-874, 2017.
    paper | online link |
  • Fan Hong, Chufan Lai, Hanqi Guo, Enya Shen, Xiaoru Yuan, Sikun Li.
    FLDA: Latent Dirichlet Allocation Based Unsteady Flow Analysis.
    IEEE Transactions on Visualization and Computer Graphics (SciVis'14), 20(12):2545-2554, 2014.
    paper | pdf 4.5MB |
  • Hanqi Guo, Fan Hong, Qingya Shu, Jiang Zhang, Jian Huang, and Xiaoru Yuan.
    Scalable Lagrangian-based Attribute Space Projection for Multivariate Unsteady Flow Data.
    Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2014), pages 33-40, Yokohama, Japan, Mar. 4-7, 2014.
    paper | pdf 1.6 MB | video | mpeg4 5.1 MB |
Posters and Other Publications
  • Fan Hong, Xiaoru Yuan, Alex Pang, Chufan Lai, Brad Hollister, Xiaoguang Ma, and Pierre Lermusiaux.
    Decoupling Ensemble Data Using Subspaces.
    IEEE Pacific Visualization Symposium 2017 (Poster), Seoul, Apr. 18-21, 2017.
  • Lijing Lin, Siming Chen, Fan Hong, Chufan Lai, Shuai Chen, and Xiaoru Yuan.
    GraphLDA: Latent Dirichlet Allocation-based Visual Exploration of Dynamic Graphs.
    IEEE Pacific Visualization Symposium 2017 (Poster), Seoul, Apr. 18-21, 2017.
  • Fan Hong, Chongke Bi, Hanqi Guo, Kenji Ono, Xiaoru Yuan.
    Compression-based Integral Curve Data Reuse Framework for Flow Visualization.
    The Thrid Conference of China Visualization and Visual Analytics (ChinaVis 2016), Changsha, China, July 21-23, 2016. Best Paper Award
  • Qingya Shu, Richen Liu, Fan Hong, Jiang Zhang, Xiaoru Yuan.
    集合模拟数据可视化与可视分析研究.
    The Thrid Conference of China Visualization and Visual Analytics (ChinaVis 2016), Changsha, China, July 21-23, 2016.
  • Fan Hong, Qingya Shu, Jiang Zhang, Richen Liu, Xiaoru Yuan and Xiaoguang Ma.
    An Integrated Visualization System for Multi-Source Carbon Concentration Datasets.
    IEEE Pacific Visualization Symposium 2016 (Poster), Taipei, Apr. 19-22, 2016.
  • Fan Hong, Siming Chen, Hanqi Guo, Xiaoru Yuan, Jian Huang, Yongxian Zhang.
    Visual Analysis of Ionospheric Disturbance Hypotheses about Earthquake.
    IEEE VIS 2013 (Poster), Atlanta, GA, USA, October 13-18, 2013.

Projects

  • flda

    FLDA: LDA-based Unsteady Flow Analysis

    An novel approach to couple LDA (Latent Dirichlet Allocation) topic model with Lagrangian flow analysis.

  • lasp

    Massive Lagrangian-based Attribute Space Projection for Multivariate Unsteady Flow Data

    An approach to couple Lagrangian-based attribute space with projection techniques to study unsteady flow with the assistance of parallel computing.

  • demeter

    Visual Analysis of Ionospheric Disturbance Hypotheses about Earthquake

    Provide a query-based system to support the workflow of studying the relationship between ionospheric disturbances and seismic events.

  • linecompress

    Compression-based Integral Curve Data Reuse Framework for Flow Visualization

    We present a compression-based data reuse framework for integral curves, in order to greatly reduce their retrieval cost, especially in a resource-limited environment.

Services

  • Reviewer, IEEE VIS, 2017.

  • Reviewer, IEEE VIS, 2016.

  • Reviewer, IEEE Pacific Visualization Symposium (PacificVis), 2016.

  • Reviewer, IEEE Symposium on Visualization for Cyber Security (VizSec), 2015.

  • Student Volunteer, China Visual Analytics (ChinaVA), Beijing, China, July 2014.

  • Student Volunteer, IEEE VIS, Atlanta, GA, USA, October 13-18, 2013.

Last Modified:
© 2016, Fan Hong @ PKUVIS Group