業績一覧

  • Sosuke Ichihashi, So Kuroki, Mai Nishimura, Kazumi Kasaura, Takefumi Hiraki, Kazutoshi Tanaka, Shigeo Yoshida, “Swarm Body: Embodied Swarm Robots”, CHI 2024.
  • Hiroaki Shiokawa, Yuma Naoi, Shohei Matsugu, “Efficient Correlated Subgraph Searches for AI-powered Drug Discovery”, IJCAI 2024.
  • Daichi Amagata, “Independent Range Sampling on Interval Data”, ICDE 2024.
  • Daichi Amagata, “Fair k-center Clustering with Outliers”, AISTATS 2024.
  • Atsuki Sato and Yusuke Matsui, “Fast Partitioned Learned Bloom Filter”, NeurIPS 2023.
  • Yutaro Oguri and Yusuke Matsui, “General and Practical Tuning Method for Off-the-Shelf Graph-Based Index”, SISAP 2023 Indexing Challenge Report by Team Utokyo
  • 松井勇佑, “グラフを用いた近似最近傍探索の理論と応用”, YANS 2023 チュートリアル.
  • Naoki Ono and Yusuke Matsui, “Relative NN-Descent: A Fast Index Construction for Graph-Based Approximate Nearest Neighbor Search”, ACM Multimedia 2023.
  • Daichi Amagata and Takahiro Hara, “Efficient Density-Peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space”, ACM TKDD.
  • Kazuyoshi Aoyama, Daichi Amagata, Sumio Fujita, Takahiro Hara, “Simpler is Much Faster: Fair and Independent Inner Product Search”, SIGIR 2023.
  • Shohei Matsugu, Yasuhiro Fujiwara, Hiroaki Shiokawa, “Uncovering the Largest Community in Social Networks at Scale”, IJCAI 2023.
  • Hiroyuki Deguchi, Taro Watanabe, Yusuke Matsui, Masao Utiyama, Hideki Tanaka, Eiichiro Sumita, “Subset Retrieval Nearest Neighbor Machine Translation”, ACL 2023.
  • Yusuke Matsui, Martin Aumüller, and Han Xiao, “Neural Search in Action”, CVPR 2023 Tutorial.