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Advance Program JST (UTC+9hours)

  • 14:00-14:05
    • Opening: Issei Fujishiro, Keio University, Japan
  • 14:05-14:30
    • Jun Tao, Sun Yat-sen University, China (SciVis)
    • Interactive Exploration of Flow Data
    • Introduced by: Le Liu, Northwest Polytechnical University, China
  • 14:30-14:55
    • Naoko Sawada, Mitsubishi Electric Corporation, Japan (SciVis)
    • Clustering-driven Visual Analytics for Universalities in Multi-Dimensional Time-Dependent Datasets
    • Introduced by: Issei Fujishiro, Keio University, Japan
  • 14:55-15:20
    • Chenhui Li, East China Normal University, China (VA)
    • Real-time Visual Query of Spatiotemporal Data Distribution via Density Dictionary Learning
    • Introduced by: Wei Zeng, The Hong Kong University of Science and Technology (Guangzhou), China
  • 15:20-15:45
    • Rei Takami, Yahoo, Japan (InfoVis)
    • Visual Analytics for the Formulation of Evaluation Metrics for Multi-dimensional Time-series Data
    • Introduced by: Takayuki Itoh, Ochanomizu University, Japan
  • 15:45-15:55
    • Break
  • 15:55-16:20
    • Juanjuan Long, Jiangnan University, China (Art)
    • Data-driven Interactive Narrative Visualization
    • Introduced by: Lingyun Yu, Xi’an Jiaotong-Liverpool University, China
  • 16:20-16:45
    • Hiroaki Natsukawa, Osaka Seikei Univerisity/Kyoto University, Japan (VA)
    • Ecosystem Dynamics Revealed by Combining Data-Driven Analysis and Visualization Techniques
    • Introduced by: Koji Koyamada, Kyoto University, Japan
  • 16:45-17:35
    • Panel
    • Moderator: Hsiang-Yun Wu
    • 6 invited speakers: Jun Tao, Naoko Sawada, Chenhui Li, Rei Takami, Juanjuan Long, and Hiroaki Natsukawa.
      • Specific Vis challenges and advantages for international collaboration, especially in China/Japan or in general Asia?
      • Current challenges for researchers collaborating with industry in China and in Japan
      • Career paths of visualization researchers in China and in Japan
  • 17:35-17:45
    • Closing: Xiaoru Yuan, Peking University, China

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