Yuta Ishimoto

Yuta Ishimoto

Ph.D. Student

Kyushu University

Biography

I’m a Ph.D. student in Graduate School of Information Science at Kyushu University, where I’m supervised by Prof. Yasutaka Kamei (Our lab’s web here) . I received B.Eng. and M.Eng. degrees from the Kyushu University (2021 and 2023). I am supported by Japan Society for the Promotion of Science (JSPS) research fellowship (DC2) (2024.4-).

My research topic is Software Engineering for AI/ML (SE4AI). A recent topic is a repair/debugging for DNNs. I am also conducting research on quantum software engineering.

日本語のページはこちら »

Interests
  • Software Engineering for AI
  • Fault localization and Repair for DNNs
  • Quantum Software Engineering
Education

  • Ph.D., 2023 -

    Kyushu University

  • M.Eng., 2021 - 2023

    Kyushu University

  • B.Eng., 2019 - 2021

    Kyushu University

Featured Publications

Refereed and first-authored

All research achievements »

Quickly discover relevant content by filtering publications.
Yuta Ishimoto, Yuto Nakamura, Ryota Katsube, Naoto Sato, Hideto Ogawa, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (2024). An Empirical Study on Self-Admitted Technical Debt in Quantum Software. Proceedings of the 31st Asia-Pacific Software Engineering Conference (APSEC).

Cite Artifacts

Yuta Ishimoto, Masanari Kondo, Lei Ma, Naoyasu Ubayashi, Yasutaka Kamei (2024). Repairs and Breaks Prediction for Deep Neural Networks. ACM Transactions on Software Engineering and Methodology.

Cite DOI Code

Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei (2023). PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks. Information and Software Technology.

Cite DOI Code

Contact

  • ishimoto🌟posl.ait.kyushu-u.ac.jp（replace 🌟 for at）
  • (+81) 092 802 3606
  • 744 Motooka, Nishi-ku, Fukuoka 819-0395