Center for Advanced Intelligence Project

Update: September 26, 2023

Three Papers were accepted at KDD ’23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, one of the top conferences in the Data Mining. For more details, please refer to the link below.

KDD ’23

• Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
  Xinyue Hu (The University of Texas)
  Lin Gu (RIKEN AIP/ The University of Tokyo)
  Qiyuan An (The University of Texas)
  Mengliang Zhang (The University of Texas)
  Liangchen Liu (National Institutes of Health Clinical Center)
  Kazuma Kobayashi (National Cancer Center Research Institute/ RIKEN AIP)
  Tatsuya Harada (The University of Tokyo/ RIKEN AIP)
  Ronald M. Summers (National Institutes of Health Clinical Center)
  Yingying Zhu (The University of Texas)
• Causal Effect Estimation on Hierarchical Spatial Graph Data
  Koh Takeuchi (Kyoto University / RIKEN AIP)
  Ryo Nishida (AIST)
  Hisashi Kashima (Kyoto University / RIKEN AIP)
  Masaki Onishi (AIST)
• QTNet: Theory-based Queue Length Prediction for Urban Traffic
  Ryu Shirakami (Sumitomo Electric System Solutions, Co., Ltd.)
  Toshiya Kitahara (Sumitomo Electric System Solutions, Co., Ltd.)
  Koh Takeuchi (Kyoto University / RIKEN AIP)
  Hisashi Kashima (Kyoto University / RIKEN AIP)

The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’23) took place in Long Beach, CA, the USA, on 6-10 August, 2023.

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