Yoshida Soh

ヨシダソウ | Yoshida Soh

Affiliation and department：
Job title： Associate Professor
Homepage URL (1)： https://wps.itc.kansai-u.ac.jp/s-yos

Research field (2)： Web and service informatics , Intelligent informatics

Research keywords (4)：ソーシャルメディア , Webマイニング , マルチメディア処理 , Information retrieval

Research theme for competitive and other funds (8)：

2022 - 2026 Social media recommendation considering the diversity of values
2020 - 2023 Development of a Data Retrieval Method with Wide Availability Based on Images by Data Embedding and Image Identification
2019 - 2023 中国出土木簡の書体分析の基礎的研究
2020 - 2022 異なる価値観を融合する検索基盤の創成
2020 - 2021 機械工具入札会における画像特徴ベクトル検索システムの構築

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Papers (15)：

Kayato Soga, Soh Yoshida, Mitsuji Muneyasu. Graph-Based Interpretability for Fake News Detection through Topic- and Propagation-Aware Visualization. Computation. 2024. 12. 4. 82-82
Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu. ConfidentMix: Confidence-Guided Mixup for Learning With Noisy Labels. IEEE Access. 2024. 12. 58519-58531
Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu. CRAS: Curriculum Regularization and Adaptive Semi-Supervised Learning with Noisy Labels. Applied Sciences. 2024. 14. 3. 1208-1208
Kayato Soga, Soh Yoshida, Mitsuji Muneyasu. Exploiting stance similarity and graph neural networks for fake news detection. Pattern Recognition Letters. 2024. 177. 26-32
Ryota HIGASHIMOTO, Soh YOSHIDA, Takashi HORIHATA, Mitsuji MUNEYASU. Unbiased Pseudo-Labeling for Learning with Noisy Labels. IEICE Transactions on Information and Systems. 2024. E107.D. 1. 44-48

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MISC (68)：

Hayato Matsumoto, Soh Yoshida, Mitsuji Muneyasu. Flexible Framework to Provide Explainability for Fake News Detection Methods on Social Media. 2022 IEEE 11th Global Conference on Consumer Electronics. 2022
Ryota Higashimoto, Soh Yoshida, Mitsuhu Muneyasu. A Robust Learning Framework Using Self-Supervised Learning for Learning With Noisy Labels. 2022 IEEE 11th Global Conference on Consumer Electronics. 2022
Kayato Soga, Soh Yoshida, Mitsuji Muneyasu. Propagation-Based Fake News Detection Using a Combination of Different Content Features. 2022 IEEE 11th Global Conference on Consumer Electronics. 2022
東本良太, 吉田壮, 棟安実治. 学習初期の正則化と加重損失を用いたラベルノイズに頑健な半教師あり学習. IEICE スマートインフォメディアシステム研究会. 2022
F. Kotegawa, M. Muneyasu, S. Yoshida. Method of Extracting Data from Images on a Curved Surface in Data Embedding to Printed Images Using Mobile Devices. 2021

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Education (3)：

2014 - 2016 Hokkaido University Graduate School, Division of Information Science
2012 - 2014 Hokkaido University Graduate School, Division of Information Science
2008 - 2012 Hokkaido University Faculty of Engineering Department of Electronics and Information Engineering

Professional career (1)：

Work history (2)：

Committee career (7)：

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Awards (10)：

2024/09 - 電子情報通信学会基礎・境界ソサイエティ貢献賞(研究専門委員会運営)
2023/03 - 電子情報通信学会スマートインフォメディアシステム研究会若手研究優秀賞
2022/10 - IEEE GCCE 2022 IEEE GCCE 2022 Excellent Poster Award IEEE Consumer Electronics Society Propagation-Based Fake News Detection Using a Combination of Different Content Features
2022/03 - 電子情報通信学会スマートインフォメディアシステム研究会若手研究優秀賞
2019/03 - 電子情報通信学会スマートインフォメディアシステム研究会若手研究優秀賞

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Association Membership(s) (4)：

ACM(Association for Computing Machinery) , IEEE(The Institute of Electrical and Electronics Engineers, Inc.) , 映像情報メディア学会 , 電子情報通信学会

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