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Haruki Yokota
Author

Haruki Yokota

About
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I’m a graduate student at the University of Osaka, MSP Lab, working on Signal Processing.
My work focuses on graph signal processing, graph learning, and algorithm unrolling.

Research Interests

  • Graph Signal Processing
  • Network Topology Identification
  • Biomedical Signal Processing

Education
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  • M.S., Engineering, Tokyo University of Agriculture and Technology, 2023
  • B.S., Engineering, Tokyo University of Agriculture and Technology, 2021

Appointment
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  • May 2025 - June 2025 Invitational research trainee at York University, Toronto, Canada
  • April 2024 – Sept. 2024 — Part-time lecturer, Setsunan University, Osaka, Japan

Publications
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Also on Google Scholar · ORCID.

2026
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Multimodal Signal Restoration with Signed Twofold Graph Learning Preprint
H. Yokota, H. Higashi, Y. Tanaka
Pre-print on arXiv (Submitted to ATSIP)
arXiv
Efficient learning of balanced signed graphs via sparse linear programming Preprint
H. Yokota, H. Higashi, Y. Tanaka, G. Cheung
Pre-print on arXiv (Submitted to IEEE TSP)
arXiv
Time-varying Graph Learning with Constraints on Temporal Variation Preprint
H. Yokota, K. Yamada, Y. Tanaka, A. Ortega
Pre-print on arXiv (Submitted to IEEE TSP)
arXiv
Auditory Attention Decoding without Spatial Information: A Diotic EEG Study International
M. Yoshino, H. Yokota, J. Hara, H. Higashi, Y. Tanaka
EMBC 2026, Toronto, Canada
arXiv
脳波に基づく両耳同音環境での聴覚的注意デコーディング Domestic
吉野将裕, 横田陽樹, 原惇也, 田中雄一, 東広志
第12回 音声・音響・信号処理ワークショップ（SPEASIP）, 沖縄, 2026年1月

2025
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Unrolled Multimodal Signal Restoration with Signed Twofold Graph Learning International
H. Yokota, H. Higashi, Y. Tanaka
APSIPA ASC 2025, Singapore, pp. 1291–1296
IEEE Xplore
Efficient learning of balanced signed graphs via iterative linear programming International
H. Yokota, H. Higashi, Y. Tanaka, G. Cheung
ICASSP 2025, Hyderabad, India, pp. 1–5
IEEE Xplore
Efficient learning of balanced signed graphs via iterative linear programming International
H. Yokota, H. Higashi, Y. Tanaka, G. Cheung
2025 Graph Signal Processing Workshop, Montreal, Canada
深層展開を用いたマルチモーダル信号復元のためのTwofoldグラフ学習 Domestic
横田 陽樹, 東 宏志, 田中 雄一
第40回信号処理シンポジウム, 茨城, 2025年11月
敵対的操作が人の意思決定に与える影響のモデル化 Domestic
内海健介, 横田陽樹, 東広志, 田中雄一
日本認知科学会第42回大会, 東京, 2025年9月

2024
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Comparative Study of Signed Graph Learning for Random Graphs International
H. Yokota, H. Higashi, Y. Tanaka, G. Cheung
ASPIRE Workshop, Hiroshima, Japan, March 2024

2023
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Signed graph balancing with graph cut International
H. Yokota, J. Hara, Y. Tanaka, G. Cheung
EUSIPCO 2023, Helsinki, Finland, pp. 1853–1857
IEEE Xplore
バランスの取れた符号付きグラフの学習 Domestic
横田 陽樹, 東 広志, 田中 雄一, Gene Cheung
第38回信号処理シンポジウム, 京都, 2023年11月
マルチモーダルグラフ信号に対する符号付きTwofold Graph学習 Domestic
横田 陽樹, 田中 雄一
電子情報通信学会信号処理研究会 (IEICE Technical Report), vol. 123, no. 152, SIP2023-58, pp. 55–59, 吹田, 2023年8月

2022
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USigned Graph Balancing with Spectral Clustering International
H. Yokota, Y. Tanaka, Gene Cheung
APSIPA ASC 2022, Thailand (Research abstract)
グラフカットを用いた符号付きグラフのバランス化 Domestic
横田 陽樹, 原 惇也, 田中 雄一, Gene Cheung
第38回信号処理シンポジウム, 新潟, 2022年12月

2021
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局所的な時間変動制約に基づく時変グラフ学 Domestic
横田 陽樹, 山田 宏樹, 田中 雄一
第36回信号処理シンポジウム, オンライン, 2021年11月

Awards
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  • 2024 – IEEE SPS Tokyo Joint Chapter Student Award, for “グラフカットを用いた符号付きグラフのバランス化”, 37th Signal Processing Symposium.
  • 2021 – Signal Processing Young Researcher Encouragement Award, for “局所的な時間変動制約に基づくグラフ学習”, 36th Signal Processing Symposium.

Grants and Funding
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  • 2023–2024 – Support for Pioneering Research Initiated by the Next Generation, Japan Science and Technology Agency.
  • 2024–2026 – Research Fellowships for Young Scientists, Japan Society for the Promotion of Science (Grant-in-Aid for JSPS Fellows).

Contact
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Lab Website · hyokota@msp-lab.org

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