引間 友也


日本電信電話株式会社
コミュニケーション科学基礎研究所
協創情報研究部
知能創発環境研究グループ

連絡先:
yuya.hikima (at) ntt.com
〒619-0237 京都府相楽郡精華町光台2-4

Research Interests

  • 数理最適化
  • オペレーションズ・リサーチ（価格決定、交通）

業績リスト

  • Peer-reviewed Paper
  • Conference Paper

Peer-reviewed Paper

  1. Yuya Hikima and Nobuo Yamashita, “A dual active set method for l1-regularized problem”, Journal of Industrial and Management Optimization, doi:10.3934/jimo.2023022, 2023.
  2. Yuya Hikima, Yasunori Akagi, Masahiro Kohjima, Takeshi Kurashima, and Hiroyuki Toda, “Price and Time Proposal Optimization for Ride-Hailing Services Based on Individual Utilities”, Transactions of the Japanese Society for Artificial Intelligence, Vol.38(1), pp.CC-M13_1-12, 2023.

Conference Paper

  1. Yuya Hikima, Yasunori Akagi, Hideaki Kim, and Taichi Asami, “An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-sourcing”, Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), pp. 3977-3986, 2023.
  2. Yuya Hikima, Yasunori Akagi, Marumo Naoki, and Hideaki Kim, “Online Matching with Controllable Rewards and Arrival Probabilities”, Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), pp.1825-1833, 2022.
  3. Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, and Hiroyuki Toda, “Price and Time Optimization for Utility-Aware Taxi Dispatching.”, Proceedings of the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2021), pp. 370-381, 2021.
  4. Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, and Hiroyuki Toda, “Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization”, Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), pp.3796-3805, 2021.