Panpan Xu (徐盼盼), Research Scientist at Bosch Research, Sunnyvale, CA.
   My research interest is empowering people to understand data and communicate their insights more efficiently through the development of new interactive visualization systems and data mining algorithms. I use a multidisciplinary approach combining techniques in machine learning, data visualization, and human-computer interaction.
   Currently, I am working on the following topics: (1) visual summarization techniques for distilling knowledge from large-scale and complex data (2) interpretable and steerable machine learning and (3) application-driven development of visual analytics systems.
   I hold PhD and Bachelor's in Computer Science from Hong Kong University of Science and Technology and Zhejiang University, respectively.

  • e-mail: panpan.xu(at)us.bosch.com
  • links:
  • upcoming travels:
    Aug '19 -- KDD, Anchorage
    Jun '19 -- CVPR, Los Angeles

Selected Publications

(Full list: Google Scholar)


Interpretable and Steerable Sequence Learning via Prototypes
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 19)
Yao Ming (intern), Panpan Xu, Huamin Qu, Liu Ren
paper bib


TPFlow: Progressive Partition and Multidimensional Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis IEEE Transactions on Visualization and Computer Graphics (VAST 2018)
Best Paper Award
Dongyu Liu (intern), Panpan Xu, Liu Ren
paper video (50MB download) bib


ViBR: Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle
IEEE Transactions on Visualization and Computer Graphics (VAST 2018)
Gromit Yeuk-Yin Chan (intern), Panpan Xu, Zeng Dai, Liu Ren
paper supplementary material video (78MB download) bib


Sequence Synopsis: Optimize Visual Summary of Temporal Event Data
IEEE Transactions on Visualization and Computer Graphics (VAST 2017)
Yuanzhe Chen (intern), Panpan Xu, Liu Ren
paper supplementary material video(82MB download) bib


VisPubData.org: A Metadata Collection about IEEE Visualization (VIS) Publications
IEEE Transactions on Visualization and Computer Graphics 2017
Petra Isenberg, Florian Heimerl, Steffen Koch, Tobias Isenberg, Panpan Xu, Chad Stolper, Michael Sedlmair, Jian Chen, Torsten Möller, John Stasko
paper data visualization demo site


ViDX: Visual Diagnostics of Assembly Line Performance in Smart Factories
IEEE Transactions on Visualization and Computer Graphics (VAST 2016)
Best Paper Honorable Mention Award
Panpan Xu, Honghui Mei (intern) , Liu Ren, Wei Chen
paper video (vimeo) video (download) bib


Interactive Visual Co-cluster Analysis of Bipartite Graphs
IEEE Pacific Visualization Symposium (PacificVis)}, 2016
Panpan Xu, Nan Cao, Huamin Qu, John Stasko
paper bib


Visual Analysis of Topic Competition on Social Media
IEEE Transactions on Visualization and Computer Graphics (VAST 2013)
Panpan Xu, Yingcai Wu, Enxun Wei, Tai-Quan Peng, Shixia Liu, Jonathan J.H. Zhu, Huamin Qu
paper bib slides (large)


Edge Bundling in Information Visualization
Tsinghua Science and Technology, 2013
Hong Zhou, Panpan Xu, Xiaoru Yuan and Huamin Qu
paper bib


Vita

PhD, Computer Science

  • Vis Lab, Hong Kong University of Science and Technology

Visiting Student

B.S., Computer Science

Professional Activities

Program Committee

  • IEEE VIS (VAST) Papers, 2017 - 2019
  • IEEE Pacific Visualization Symposium (PacificVis) Papers, 2017 - 2019
  • IEEE Pacific Visualization Symposium (PacificVis) Notes, 2016
  • International Symposium on Visual Computing (ISVC), 2018
  • ChinaVis, 2017 - 2019

Reviewer

  • ACM SIGCHI
  • IEEE VIS (InfoVis and VAST)
  • IEEE Transactions on Visualization and Computer Graphics
  • The EG/VGTC Conference on Visualization (EuroVis)
  • IEEE Pacific Visualization Symposium (PacificVis)
  • IEEE Computer Graphics and Applications Magazine
  • Very Large Data Bases (VLDB)

Organizing Committee

  • IEEE Visualization in Data Science (VDS) Web Chair (colocated with IEEE VIS), 2019

Misc


Panpan Xu, 2019