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Takeuchi, Koh

Graduate School of Informatics, Department of Intelligence Science and Technology Assistant Professor

Takeuchi, Koh
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    Last Updated :2022/05/14

    Basic Information

    Faculty

    • 工学部

    Academic Degree

    • 修士(工学)(早稲田大学)
    • 博士(情報学)(京都大学)

    Research History

    • From Feb. 2020, To Present
      Kyoto University, Graduate School of Informatics Department of Intelligence Science and Technology
    • From Apr. 2011, To Jan. 2020
      NTT, Communication Science Labs., Researcher

    ID,URL

    researchmap URL

    list
      Last Updated :2022/05/14

      Research

      Research Interests

      • Data Mining
      • Machine Learning

      Research Areas

      • Informatics, Intelligent informatics

      Papers

      • Fréchet Kernel for Trajectory Data Analysis.
        Koh Takeuchi; Masaaki Imaizumi; Shunsuke Kanda; Yasuo Tabei; Keisuke Fujii; Ken Yoda; Masakazu Ishihata; Takuya Maekawa
        ACM SIGSPATIAL, 2021, Peer-reviewed, Lead author
      • In-Vehicle Network Attack Detection Across Vehicle Models: A Supervised-Unsupervised Hybrid Approach.
        Shu Nakamura; Koh Takeuchi; Hisashi Kashima; Takeshi Kishikawa; Takashi Ushio; Tomoyuki Haga; Takamitsu Sasaki
        IEEE ITSC, 2021, Peer-reviewed
      • Crowdsourcing Evaluation of Saliency-based XAI Methods.
        Xiaotian Lu; Arseny Tolmachev; Tatsuya Yamamoto; Koh Takeuchi; Seiji Okajima; Tomoyoshi Takebayashi; Koji Maruhashi; Hisashi Kashima
        ECMLPKDD, 2021, Peer-reviewed
      • Inter-domain Multi-relational Link Prediction.
        Luu Huu Phuc; Koh Takeuchi; Seiji Okajima; Arseny Tolmachev; Tomoyoshi Takebayashi; Koji Maruhashi; Hisashi Kashima
        ECMLPKDD, 2021, Peer-reviewed
      • Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference.
        Koh Takeuchi; Ryo Nishida; Hisashi Kashima; Masaki Onishi
        AAMAS, 2021, Peer-reviewed, Lead author
      • Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance.
        Yasutoshi Ida; Sekitoshi Kanai; Yasuhiro Fujiwara; Tomoharu Iwata; Koh Takeuchi; Hisashi Kashima
        ICML, 2020, Peer-reviewed
      • Succinct Trit-array Trie for Scalable Trajectory Similarity Search.
        Shunsuke Kanda; Koh Takeuchi; Keisuke Fujii; Yasuo Tabei
        ACM SIGSPATIAL, 2020, Peer-reviewed
      • Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport.
        Luu Huu Phuc; Koh Takeuchi; Makoto Yamada; Hisashi Kashima
        IEEE DSAA, 2020, Peer-reviewed
      • Proximity Preserving Nonnegative Matrix Factorization.
        Yuya Ogawa; Koh Takeuchi; Yuya Sasaki 0001; Makoto Onizuka
        J. Inf. Process., 2020, Peer-reviewed
      • New Attributed Graph Clustering by Bridging Attribute and Topology Spaces.
        Seiji Maekawa; Koh Takeuchi; Makoto Onizuka
        J. Inf. Process., 2020, Peer-reviewed
      • 隣接性と構造類似性を考慮したグラフクラスタリング
        小川 裕也; 前川 政司; 竹内 孝; 佐々木 勇和; 鬼塚 真
        Mar. 2019
      • Variational Inference of Penalized Regression with Submodular Functions.
        Koh Takeuchi; Yuichi Yoshida; Yoshinobu Kawahara
        UAI, 2019, Peer-reviewed, Lead author
      • Time Series Link Prediction Using NMF.
        Faith W. Mutinda; Atsuhiro Nakashima; Koh Takeuchi; Yuya Sasaki 0001; Makoto Onizuka
        J. Inf. Process., 2019, Peer-reviewed
      • Accelerating Urban Science by Crowdsensing with Civil Officers.
        Takuro Yonezawa; Koh Takeuchi; Tomotaka Ito; Mina Sakamura; Yasue Kishino; Futoshi Naya; Naonori Ueda; Jin Nakazawa
        Ubicomp, 2018, Peer-reviewed
      • Regional Garbage Amount Estimation and Analysis Using Car-Mounted Motion Sensors.
        Yasue Kishino; Yoshinari Shirai; Koh Takeuchi; Takayuki Suyama; Futoshi Naya; Naonori Ueda
        Ubicomp, 2018, Peer-reviewed
      • Few-shot learning of neural networks from scratch by pseudo example optimization.
        Akisato Kimura; Zoubin Ghahramani; Koh Takeuchi; Tomoharu Iwata; Naonori Ueda
        BMVC, 2018, Peer-reviewed
      • Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets.
        Motoyuki Oki; Koh Takeuchi; Yukio Uematsu
        IAAI, 2018, Peer-reviewed
      • Scaling Locally Linear Embedding.
        Yasuhiro Fujiwara; Naoki Marumo; Mathieu Blondel; Koh Takeuchi; Hideaki Kim; Tomoharu Iwata; Naonori Ueda
        Proceedings of the 2017 ACM International Conference on Management of Data, 2017
      • Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries.
        Koh Takeuchi; Yoshinobu Kawahara; Tomoharu Iwata
        Machine Learning and Knowledge Discovery in Databases - European Conference, 2017
      • SVD-Based Screening for the Graphical Lasso.
        Yasuhiro Fujiwara; Naoki Marumo; Mathieu Blondel; Koh Takeuchi; Hideaki Kim; Tomoharu Iwata; Naonori Ueda
        Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence(IJCAI), 2017
      • Autoregressive Tensor Factorization for Spatio-Temporal Predictions.
        Koh Takeuchi; Hisashi Kashima; Naonori Ueda
        2017 IEEE International Conference on Data Mining(ICDM), 2017
      • Datafying city: Detecting and accumulating spatio-temporal events by vehicle-mounted sensors.
        Yasue Kishino; Koh Takeuchi; Yoshinari Shirai; Futoshi Naya; Naonori Ueda
        2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
      • Localized Lasso for High-Dimensional Regression.
        Makoto Yamada; Koh Takeuchi; Tomoharu Iwata; John Shawe-Taylor; Samuel Kaski
        Proceedings of the 20th International Conference on Artificial Intelligence and Statistics(AISTATS), 2017
      • Sparse Network Lasso for Local High-dimensional Regression.
        Makoto Yamada; Koh Takeuchi; Tomoharu Iwata; John Shawe-Taylor; Samuel Kaski
        CoRR, 2016
      • Higher Order Fused Regularization for Supervised Learning with Grouped Parameters.
        Koh Takeuchi; Yoshinobu Kawahara; Tomoharu Iwata
        Machine Learning and Knowledge Discovery in Databases - European Conference, 2015
      • Cross-domain recommendation without shared users or items by sharing latent vector distributions.
        Tomoharu Iwata; Koh Takeuchi
        Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics(AISTATS), 2015
      • Non-Negative Multiple Matrix Factorization.
        Koh Takeuchi; Katsuhiko Ishiguro; Akisato Kimura; Hiroshi Sawada
        IJCAI 2013(IJCAI), 2013
      • Non-negative Multiple Tensor Factorization.
        Koh Takeuchi; Ryota Tomioka; Katsuhiko Ishiguro; Akisato Kimura; Hiroshi Sawada
        2013 IEEE 13th International Conference on Data Mining(ICDM), 2013
      • Towards Automatic Image Understanding and Mining via Social Curation.
        Katsuhiko Ishiguro; Akisato Kimura; Koh Takeuchi
        12th IEEE International Conference on Data Mining(ICDM), 2012

      Misc.

      • Multiple Matrix Factorization under the Non-negative Constraints and its Applications for Social Media Analysis
        竹内 孝; 石黒 勝彦; 木村 昭悟; 澤田 宏
        情報処理学会論文誌数理モデル化と応用(TOM), 28 Mar. 2014
      • Multiple Matrix Factorization under the Non-negative Constraints
        Koh Takeuchi; Katsuhiko Ishiguro; Akisato Kimura; Hiroshi Sawada
        IPSJ SIG Notes, 16 May 2013
      • sNMF : Stacked Non-negative Matrix Factorization : Its Application For Social Media Analysis
        TAKEUCHI Koh; ISHIGURO Katsuhiko; KIMURA Akisato; SAWADA Hiroshi
        電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習 = IEICE technical report. IBISML, Information-based induction sciences and machine learning, 31 Oct. 2012

      External funds: Kakenhi

      • Development of machine learning algorithms based on discrete convex analysis
        Grant-in-Aid for Scientific Research (B)
        Osaka University
        Yoshinobu Kawahara
        From 01 Apr. 2014, To 31 Mar. 2018, Project Closed
        機械学習;組合せ最適化;最適化
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        Last Updated :2022/05/14

        Education

        Teaching subject(s)

        • From Apr. 2021, To Mar. 2022
          Computer Science Laboratory and Exercise 1
          Spring, 工学部
        • From Apr. 2021, To Mar. 2022
          Computer Science Laboratory and Exercise 1
          Spring, 工学部
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          Last Updated :2022/05/14

          Administration

          Faculty management (title, position)

          • From 01 Apr. 2021, To 31 Mar. 2022
            広報WG委員
          list
            Last Updated :2022/05/14

            Academic, Social Contribution

            Committee Memberships

            • From 2021
              Program Committee, The 35th Annual Conference of the Japanese Society for Artificial Intelligence
            • From 2019
              Program Committee, The 22nd information-Based Induction Sciences Workshop
            • From 2016
              Program Comittie, The 19th information-Based Induction Sciences Workshop

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