Eisuke Yamagata（山縣 英介）

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