Akihiro Yamaguchi

Akihiro Yamaguchi received the B.S. degree in mathematics in 2004 and the M.S. degree in mathematics in 2006, both from Kobe University, and the Ph.D. degree in information science from Nagoya University, Japan, in 2018. He joined Toshiba Corporation in 2006. From 2011 to 2015, he was a Researcher at the Center for Embedded Computing Systems, Nagoya University. He is currently an Expert at the AI Digital R&D Center, Corporate Laboratory, Toshiba Corporation, Japan. He is also a Professor at the Institute of Mathematics for Industry (IMI), Kyushu University.

His research interests include machine learning and time-series data mining, and their explainability and applications in infrastructure and manufacturing.

You can also see more contributions on the Japanese page.

A. First-author Contributions

A.1 Honors and Awards

1. Akihiro Yamaguchi, DBSJ Young Researcher’s Achievement and Contribution Award, 2025/3.

2. Akihiro Yamaguchi, Ken Ueno, and Hisashi Kashima, DEIM 2024, Best Paper Award, 2024/6.

3. Akihiro Yamaguchi, Ken Ueno, Kazunori Uchida, Eiji Matsumoto, and Toshiyuki Saida, CIGRE 2022 Kyoto Symposium, One of 6 best papers, 2022/11.

4. Akihiro Yamaguchi, Ken Ueno, and Hisashi Kashima, DEIM 2022, Best Paper Award, 2022/6.

5. Akihiro Yamaguchi, Shigeru Maya, Kohei Maruchi, and Ken Ueno, The Best of SIAM Data Mining 2020 (Best of SDM 2020), 2020/10.

6. Akihiro Yamaguchi, IPSJ Yamashita SIG Research Award 2020, 2020/3.

7. Akihiro Yamaguchi, Yousuke Watanabe, Kenya Sato, Yukikazu Nakamoto, Yoshiharu Ishikawa, Shinya Honda, and Hiroaki Takada, Journal of Information Processing Outstanding Paper Award 2017, 2017/6.

8. Akihiro Yamaguchi, Yousuke Watanabe, Kenya Sato, Yukikazu Nakamoto, Yoshiharu Ishikawa, Shinya Honda, and Hiroaki Takada, WebDB Forum 2016, Best Paper Award, 2016/9.

9. Akihiro Yamaguchi, Kenya Sato, Yukikazu Nakamoto, Yousuke Watanabe, and Hiroaki Takada, IPSJ SIG-ITS 2014, Encouragement Award, 2014/9.

A.2 Journal Articles

1. Akihiro Yamaguchi, Ken Ueno, and Hisashi Kashima, Learning Location-guided Time-series Shapelets, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol.37, no.5, pp.2712-2726, 2025/5.

2. Akihiro Yamaguchi, Ken Ueno, and Hisashi Kashima, Learnable Lengths and Shapes for Discriminative Time-series Subsequences, IEICE Transactions on Information and Systems, Vol.J108-D, No.05, 2025/5. [in Japanese]

3. Akihiro Yamaguchi, Ken Ueno, and Hisashi Kashima, Learning method for time-series shapelet evolution, IEICE Transactions on Information and Systems, Vol.J106-D, No.05, 2023/5. [in Japanese]

4. Akihiro Yamaguchi, Ken Ueno, Kazunori Uchida, Eiji Matsumoto, and Toshiyuki Saida, Development of advanced AI technologies for condition diagnosis of high voltage switchgear in substations, CIGRE Science and Engineering, CSE 026, pp.1-11, 2022/11. (on invitation from CIGRE Kyoto Symposium 2022)

5. Akihiro Yamaguchi, Mastering XAI Which Explains the Evidence of AI Judgment: Time-Series Waveform Anomaly Diagnostic Methods Utilizing Learning Shapelets for Infrastructure and Manufacturing Fields, Information Processing Society of Japan (IPSJ), Vol.63, No.8, pp.e21-e24, 2022/7. (Invited Review Paper) [in Japanese]

6. Akihiro Yamaguchi, Shigeru Maya, Kohei Maruchi, and Ken Ueno, LTSpAUC: Learning Time-series Shapelets for Partial AUC Maximization, Big Data, Vol.8, No.5, pp.391-411, 2020/10. (on invitation, Best of SDM 2020)

7. Akihiro Yamaguchi, and Takeichiro Nishikawa, OCLTS: One-Class Learning Time-Series Shapelets, International Journal of Data Mining Science (IJDAT), Vol.1, No.1, pp.37-45, 2019/5.

8. Akihiro Yamaguchi, Shigeru Maya, Tatsuya Inagi, and Ken Ueno, OPOSSAM: Online Prediction of Stream Data with Self-Adaptive Memory, International Journal of Data Mining Science (IJDAT), Vol.1, No.1, pp.46-56, 2019/5.

9. Akihiro Yamaguchi, Yousuke Watanabe, Kenya Sato, Yukikazu Nakamoto, Yoshiharu Ishikawa, Shinya Honda, and Hiroaki Takada, In-Vehicle Distributed Time-critical Data Stream Management System for Advanced Driver Assistance, Journal of Information Processing (JIP), Vol.25, pp.107-120, 2017/1.

   • Journal of Information Processing Outstanding Paper Award 2017

   • WebDB Forum 2016, Best Paper Award

10. Akihiro Yamaguchi, Yousuke Watanabe, Kenya Sato, Yukikazu Nakamoto, and Hiroaki Takada, Real-time Scheduling Method for Automotive Embedded Data Stream Processing, IPSJ Transactions on Databases (TOD), Vol.8 No.2, pp.1-17, 2015/6. [in Japanese]

A.3 Conference Papers

1. Akihiro Yamaguchi, Ken Ueno, Ryusei Shingaki, and Hisashi Kashima, Learning Counterfactual Explanations with Intervals for Time-series Classification, ACM International Conference on Information and Knowledge Management (CIKM2024), pp.4158-4162, 2024/10. (acceptance rate 141/527=27%)

2. Akihiro Yamaguchi, Ken Ueno, and Hisashi Kashima, Time-series Shapelets with Learnable Lengths, ACM International Conference on Information and Knowledge Management (CIKM2023), pp.2866-2876, 2023/10. (acceptance rate 354/1472=24%)

3. Akihiro Yamaguchi, Ken Ueno, and Hisashi Kashima, Learning Evolvable Time-series Shapelets, IEEE International Conference on Data Engineering (ICDE2022), pp.793-805, 2022/5. (acceptance rate 211/780=27%)

4. Akihiro Yamaguchi, Ken Ueno, and Hisashi Kashima, Learning Time-series Shapelets Enhancing Discriminability, SIAM International Conference on Data Mining (SDM22), pp.190-198, 2022/4. (acceptance rate 83/298=28%)

5. Akihiro Yamaguchi, Ken Ueno, Kazunori Uchida, Eiji Matsumoto, and Toshiyuki Saida, Development of advanced AI technologies for condition diagnosis of high voltage switchgear in substations, CIGRE Kyoto Symposium 2022, pp.93-102, 2022/4. (Selected as one of 6 best papers)

6. Akihiro Yamaguchi and Ken Ueno, Learning Time-series Shapelets via Supervised Feature Selection, SIAM International Conference on Data Mining (SDM21), pp.262-270, 2021/5. (acceptance rate 85/400=21%)

7. Akihiro Yamaguchi, Shigeru Maya, and Ken Ueno, RLTS: Robust Learning Time-series Shapelets, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), pp.595-611, 2020/9. (acceptance rate 131/687=19%)

8. Akihiro Yamaguchi, Shigeru Maya, Kohei Maruchi, and Ken Ueno, LTSpAUC: Learning Time-series Shapelets for Optimizing Partial AUC, SIAM International Conference on Data Mining (SDM20), pp.1-9, 2020/5. (acceptance rate 75/388=19%) (Selected as one of the "Best of SDM 2020")

9. Akihiro Yamaguchi, Shigeru Maya, Tatsuya Inagi, and Ken Ueno, OPOSSAM: Online Prediction of Stream Data Using Self-adaptive Memory, IEEE International Conference on Big Data (IEEE BigData 2018) 4th Special Session on Intelligent Data Mining, pp.2355-2364, 2018/12.

10. Akihiro Yamaguchi, and Takeichiro Nishikawa, One-Class Learning Time-Series Shapelets, IEEE International Conference on Big Data (IEEE BigData 2018) 4th Special Session on Intelligent Data Mining, pp.2365-2372, 2018/12.

11. Akihiro Yamaguchi, Yukikazu Nakamoto, Kenya Sato, Yousuke Watanabe, and Hiroaki Takada, EDF-PStream: Earliest deadline first scheduling of preemptable data streams - Issues related to automotive applications, Proceedings of the 21st IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2015), pp.257-267, 2015/8.

12. Akihiro Yamaguchi, Yukikazu Nakamoto, Kenya Sato, Yoshiharu Ishikawa, Yousuke Watanabe, Shinya Honda, and Hiroaki Takada, AEDSMS: Automotive Embedded Data Stream Management System, The 31st International Conference on Data Engineering (ICDE 2015), pp.1292-1303, 2015/4.

A.4 Books and Chapters

1. Akihiro Yamaguchi, Kenya Sato, Tatsuya Yamakawa, Shinya Honda, and Hiroaki Takada, Stochastic Behavior Modeling for Driver Assistance Using Stream Data Processing, Vehicle Systems and Driver Modelling: DPS, Human-to-Vehicle Interfaces, Driver Behavior, and Safety, Chapter 2, pp.19-46, De Gruyter, 2017/9. (ISBN: 978-1501512124)

A.5 Patents

1. A Yamaguchi, S Maya, and K Ueno, Information processing device, information processing method, and recording medium, US-11803613-B2

A.6 Workshop

1. Akihiro Yamaguchi, Anomaly Detection on Time Series Data for Infrastructure and Manufacturing, Study Group Workshop, Institute of Mathematics for Industry, 2025/7. [in Japanese] (Problem Proposer)

2. Akihiro Yamaguchi, Kenya Sato, Naoyuki Shiba, Shinya Honda, and Hiroaki Takada, ADVISE: Autonomous Driving Vehicle for Individuality in a Stream Environment, The 6th Biennial Workshop on Digital Signal Processing for In-Vehicle Systems, pp.57-63, 2013/9.

A.7 Technical Reports

1. Akihiro Yamaguchi, Time-Series Waveform Anomaly Diagnostic Methods Utilizing Learning Shapelets for Infrastructure and Manufacturing Fields, Toshiba Review, Vol. 77, Issue 1, 2022/1. [in Japanese]

A.8 Activities

• ACML Reviewer, 2025-Current

• IJCAI (Special Track on AI4Tech) Program Committee, 2025-Current

• Editorial Committee of Digital Practice, Information Processing Society of Japan, 2024-Current

• PAKDD Program Committee, 2022-Current

• AIGC Program Committee, 2022-Current

• ITISE Program Committee, 2020-Current

• ECMLPKDD Program Committee, 2020-2022

• Invited Reviewer: DMKD, Machine Learning, KAIS, EAAI, IEEE Access, IEICE Trans. Inf. & Syst., IPSJ TOD

B. Co-author Contributions

B.1 Honors and Awards

1. Shinichi Ito, Akihiro Yamaguchi, Kenya Sato, Shinya Honda, and Hiroaki Takada, IPSJ SIG-ITS 2013,  Encouragement Award, 2013/6.

B.2 Journal Articles

1. Jaeyong Rho, Takuya Azumi, Akihiro Yamaguchi, Kenya Sato, and Nobuhiko Nishio, Reservation-Based Scheduling for Automotive DSMS under High Overload Condition, Journal of Information Processing (JIP), Vol.24, No.5, pp.751-761, 2016/9.

2. Hideki Shimada, Akihiro Yamaguchi, Hiroaki Takada, and Kenya Sato, Implementation and Evaluation of Local Dynamic Map in Safety Driving Systems, Journal of Transportations Technologies, Vol.5, No.2, pp.102-112, 2015/4.

3. Shingo Akiyama, Yukikazu Nakamoto, Akihiro Yamaguchi, Kenya Sato, and Hiroaki Takada, Vehicle Embedded Data Stream Processing Platform for Android Devices, International Journal of Advanced Computer Science and Applications、Vol.6 No.2 pp.285-294, 2015/3/1.

4. Satoshi Katsunuma, Akihiro Yamaguchi, Kouta Kumagai, Shinya Honda, Kenya Sato, Hiroaki Takada, Development of Automotive Embedded Data Stream Management System, IEICE Transactions on Information and Systems, Vol.J95-D, No.12, pp.2031-2047, 2012/12. [in Japanese]

5. Kenya Sato, Hideki Shimada, Satoshi Katsunuma, Akihiro Yamaguchi, Masahiro Yamada, Shinya Honda, and Hiroaki Takada, Stream LDM: Local Dynamic Map (LDM) with Stream Processing Technology, The Science and Engineering Review of Doshisha University, Vol. 53, No.3, pp.28-35, 2012/10.

B.3 Conference Papers

1. Kento Kotera and Akihiro Yamaguchi, Spacecraft Propulsion System Diagnosis via MiniRocket: a result of PHMAP 2023 Data Challenge, Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP2023), P01-09 (only poster presentation), 2023/9.

2. Kento Kotera, Akihiro Yamaguchi, and Ken Ueno, Learning Local Patterns of Time Series for Anomaly Detection, International Conference on Time Series and Forecasting (ITISE2023), (published in Engineering Proceedings), 2023/7.

3. Eiji Matsumoto, Kazunori Uchida, Minoru Saito, Akihiro Yamaguchi, and Toshihiro Maekawa, Recent Digitization of GIS and Sophistication of Equipment Condition Monitoring and Diagnosis applying AI Technologies, CIGRE Paris 2022 Session, 10644, 2022/8-9.

4. Shigeru Maya, Akihiro Yamaguchi, Kaneharu Nishino, and Ken Ueno, Lag-Aware Multivariate Time-Series Segmentation, SIAM International Conference on Data Mining (SDM20), pp.622-630, 2020/5. (採択率75/388=19%)

5. Yukikazu Nakamoto, Akihiro Yamaguchi, Kenya Sato, Shinya Honda, and Hiroaki Takada, Toward data-centric software architecture for automotive systems - Embedded data stream processing approach -, The 11th IEEE International Conference on Autonomic and Trusted Computing, 2014/12.

6. Jaeyong Rho, Akihiro Yamaguchi, Kenya Sato, Takuya Azumi, and Nobuhiko Nishio, ROP-EDF: Reservation-Based OP-EDF Scheduling for Automotive Data Stream Management System, WiP session of the IEEE 11th International Conference on Embedded Software and Systems (ICESS2014), 2014/8.

7. Yukikazu Nakamoto, Masanori Okamoto, Mohanmed Bhuiya, Akihiro Yamaguchi, Kenya Sato, Shinya Honda, and Hiroaki Takada, Android Platform based on Vehicle Embedded Data Stream Processing, the 10th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC-2013), pp.48-55, 2013/12.

8. Kenya Sato, Erika Matsumoto, Hideki Shimada, Akihiro Yamaguchi, Shinya Honda, and Hiroaki Takada, A Proposal of Network Architecture for Narrowband V2X Communication, The 20th ITS World Congress, pp.1-10, 2013/10.

B.4 Patents

1. S Maya, T Inagi, and A Yamaguchi, Time-series feature extraction apparatus, time-series feature extraction method and recording medium, US-11710066-B2

2. Y Namioka, A Yamaguchi, M Hattori, and K Yamagata, Calculating device, data base system, calculation system, calculation method, and storage medium, US-11182362-B2

B.5 Technical Reports

1. Nagata Shinichi, Akihiro Yamaguchi, Saito Akito, AI-Based Abnormality Diagnostic Technologies for Substation Equipment, Toshiba Review, Vol.80, No.3, 2025/5. [in Japanese]

2. Ken Ueno, Akihiro Yamaguchi, Shigeru Maya, Fault Diagnosis Method Based on Machine Learning using Time-Series Sensor Data, Toshiba Review, Vol.74, No.5, 2019/9. [in Japanese]

C. Hobbies

• Herb gardening, Bottle/jar aquarium, Aikido, Violin