Eisuke Yamagata（山縣 英介）
Ph.D. in Computer Science
eisukeyamagata[at]gmail.com
Education
Ph. D. Institute of Science Tokyo (April 2022 - March 2025)
M.E. Tokyo Institute of Technology (April 2020 - March 2022)
B.E. Tokyo Institute of Technology (April 2016 - March 2020)
Publications
International Journal
E. Yamagata, K. Naganuma and S. Ono, "Robust Time-Varying Graph Signal Recovery for Dynamic Physical Sensor Network Data," in IEEE Transactions on Signal and Information Processing over Networks, vol. 11, pp. 59-70, 2025, doi: 10.1109/TSIPN.2025.3525978.
E. Yamagata, S. Ono, “Sparse index tracking: Simultaneous asset selection and capital allocation via ℓ0-constrained portfolio,” IEEE Open Journal for Signal Processing, 2024.
H. Kataoka, K. Okayasu, A. Matsumoto, E. Yamagata, R. Yamada, N. Inoue, A. Nakamura, Y. Satoh, “Pretraining Without Natural Images,” International Journal of Computer Vision (IJCV), vol. 130, pp. 990-1007, Feb. 2022.
International Conference
E. Yamagata, S. Ono, “Risk-Managed Sparse Index Tracking Via Market Graph Clustering”, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
Ryo Nakamura, Ryu Tadokoro, Eisuke Yamagata, Yusuke Kondo, Kensho Hara, Hirokatsu Kataoka, Nakamasa Inoue, “Pseudo-outlier synthesis using q-Gaussian distributions for out-of-distribution detection”, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
Eisuke Yamagata and Shunsuke Ono, "Generalized Time-Varying Graph Signal Recovery Over Dynamic Graphs," ASPIRE 2024, Hiroshima, Japan, Mar. 2024.
H. Kataoka, K. Hara, R. Hayashi, E. Yamagata, N. Inoue, “Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 1279-1288, Jan. 2022.
E. Yamagata, S. Ono, “Recovery of Time Series of Graph Signals Over Dynamic Topology,” in Proceedings of the 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 330-336, Dec. 2021, (Invited Paper).
H. Kataoka, A. Matsumoto, R.Yamada, Y. Satoh, E. Yamagata, N. Inoue, “Formula-driven Supervised Learning with Recursive Tiling Patterns,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp.4098-4105, Oct. 2021.
N. Inoue†, E. Yamagata† († equal contribution), H. Kataoka, “Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data,” in Proceedings of the 2020 International Conference on Pattern Recognition (ICPR), pp. 1023-1028, Jan. 2021.
H. Kataoka, K. Okayasu, A. Matsumoto, E. Yamagata, R. Yamada, N. Inoue, A. Nakamura, Y. Satoh, “Pretraining Without Natural Images,” in Proceedings of the Asian Conference on Computer Vision (ACCV), 17 pages, Nov. 2020, Best Paper Honorable Mention Award.
Domestic Conference (Non Peer-reviewed)
山縣英介, 小野峻佑, "Sparse Index Tracking with Market Graph Neutrality," 第38回信号処理シンポジウム, Nov. 2023.
山縣英介, 小野峻佑, "A Primal-Dual Splitting Approach to Sparse Index Tracking," 第37回信号処理シンポジウム, Dec. 2022.
山縣英介, 小野峻佑, “動的グラフ上の時系列グラフ信号復元,” 第36回信号処理シンポジウム, Nov. 2021, 2021年度 信号処理若手奨励賞
E. Yamagata, S. Ono, “A Constrained Alternating Minimization Approach to End-to-End Graph Signal Denoising Over Unknown Topology,” IEICE Tech. Rep., vol. 120, no. 398, pp. 1-4, Mar. 2021, 第五回 IEEE SPS Tokyo Joint Chapter Student Award.
Other
日本学術振興会特別研究員（DC2）採用 2023
JST次世代研究者挑戦的プログラム採用 2022