Peihong Guo（郭沛洪）

I've graduated from Yuanpei College, Peking University, and I'm now working towards my Ph.D. in visualization at EECS, Peking University. I have great interest in visualization, especially in developing novel interface for visualization tools and applying these tools in scientific research.

I joined Prof. Yuan's research group in 2008. In the past years I've been involved in several InfoVis projects, mainly about high dimensional data visualization and analysis. I am also searching for novel methods for processing of HDR ( High Dynamic Range ) images/videos.

Journal and Conference Papers:

• Xiaoru Yuan, He Xiao, Hanqi Guo, Peihong Guo, Wesley Kendall, Jian Huang, and Yongxian Zhang.
  Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data. IEEE Transactions on Visualization and Computer Graphics (Vis'10), 16(6):1413-1420, 2010..

• Peihong Guo, He Xiao, Zuchao Wang and Xiaoru Yuan.
  Interactive Local Clustering Operations in Parallel Coordinates. The 3rd IEEE Pacific Visualization Symposium (PacificVis'10), March 2-5, 2010.

• Xiaoru Yuan, Peihong Guo, He Xiao, Hong Zhou and Huamin Qu.
  Scattering Points in Parallel Coordinates. IEEE Transacations on Visualization and Computer Graphics (InfoVis'09), 15(6):1001-1008, 2009. (Cover Image)

• Jian Pu, Junping Zhang, Peihong Guo and Xiaoru Yuan.
  Interactive Super-resolution through Neighbor Embedding. In the proceedings of the 9th Asian Conference on Computer Vision (ACCV'09), Xi'an, Sept. 23-27, 2009.

Posters:

• Hanqi Guo, Peihong Guo, He Xiao, and Xiaoru Yuan.
  Multi-Dimensional Transfer Function Design based on Combined Interface of Parallel Coordinates and Dimension Projection. IEEE Visualization Conferece (Vis'10), Oct 24-29, 2010.

• Xiaoru Yuan, Peihong Guo.
  Interactive Clustering Multidimensional Data with Shaded Parallel Coordinates. The 3rd IEEE Pacific Visualization Symposium (PacificVis'10), March 2-5, 2010.

• Peihong Guo, He Xiao, Xiaoru Yuan.
  Interactive Attractive and Repulsive Operators in Parallel Coordinates. IEEE Information Visualization Conference (InfoVis '09), Oct. 15-20, 2009.

• High dimensional data visualization, mainly based on parallel coordinates.

• Tone mapping for HDR images and its evaluation., funded by Peking University.