Lei Chen

Make it work, make it right, make it fast.


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Education

  • 2024.10-2025.10, Institute of Science Tokyo (formerly Tokyo Institute of Technology), Computer Science, PhD
  • 2023.12-2024.06, Università della Svizzera italiana (USI), Collaborative Researcher
  • 2022.10-2024.10, Tokyo Institute of Technology (Tokyo Tech), Computer Science, PhD
  • 2020.09-2022.09, Tokyo Institute of Technology (Tokyo Tech), Computer Science, Master
  • 2016.09-2020.06, Dalian University of Technology (DUT), Software Engineering, Bachelor

  • Selected Publications

  • Lei Chen, Shinpei Hayashi. An Empirical Study on the Impact of Change Granularity in Refactoring Detection.Journal of Systems and Software, vol. 231, pp. 112608:1-21. jan, 2026.
  • Lei Chen, Michele Lanza, Shinpei Hayashi. ChangePrism: Visualizing the Essence of Code Changes.In Proceedings of the 13th IEEE Working Conference on Software Visualization (VISSOFT 2025), pp. 69-73. Auckland, New Zealand, sep, 2025.
  • Kota Someya, Lei Chen, Michael J. Decker, Shinpei Hayashi. How Much Can a Behavior-Preserving Changeset Be Decomposed into Refactoring Operations?In Proceedings of the 41st IEEE International Conference on Software Maintenance and Evolution (ICSME 2025), pp. 809-814. Auckland, New Zealand, sep, 2025.
  • Lei Chen, Michele Lanza, Shinpei Hayashi. Understanding Code Change with Micro-Changes. In Proceedings of the 40th IEEE International Conference on Software Maintenance and Evolution (ICSME 2024). Flagstaff, AZ, USA, oct, 2024.
  • Lei Chen, Shinpei Hayashi Impact of Change Granularity in Refactoring Detection. In Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension (ICPC 2022), Early Research Achievements (ERA) Track, pp. 565-569. Online, may, 2022
  • Kota Someya, Lei Chen, Shinpei Hayashi. Explanation of differences between functionally equivalent method pairs through behaviorally equivalent change sequences. IEICE Tech. Rep., vol. 124, no. 429, pp. 85-90. 2025. Research Encouragement Award
  • Takayoshi Ueno, Lei Chen, Shinpei Hayashi. Development of an Environment for Identifying Refactorings in Source Code Changes. IEICE Tech. Rep., vol. 123, no. 414, pp. 43-48. 2024.
  • Yuko Higuchi, Lei Chen, Shinpei Hayashi. . Extraction and Automatic Application of Source Code Change Patterns Based on Abstract Syntax Trees. IEICE Tech. Rep., vol. 123, no. 414, pp. 43-48. 2024. Research Encouragement Award
  • Lei Chen, Shinpei Hayashi The Use of Review Effort Objective for Search-based Refactoring Recommendation.IEICE Tech. Rep., vol. 122, no. 138, SS2022-18, pp. 103-108, July 2022.
  • Lei Chen. Security and privacy on physical layer for wireless sensing: A survey[J]. Security and Privacy, 2018, 1(5): e22.

  • Presentations

  • 2025.09 ソフトウェアエンジニアリングシンポジウム2025 招待論文, 東京早稲田大学西早稲田キャンパスUnderstanding Code Change with Micro-Changes.
  • 2025.09 13th IEEE Working Conference on Software Visualization (VISSOFT 2025), Auckland, New Zealand ChangePrism: Visualizing the Essence of Code Changes.
  • 2024.10 40th IEEE International Conference on Software Maintenance and Evolution (ICSME 2024), Flagstaff, AZ, USA Understanding Code Change with Micro-Changes.
  • 2022.09 ソフトウェアエンジニアリングシンポジウム2022 既発表論文, 東京早稲田大学西早稲田キャンパスImpact of Change Granularity in Refactoring Detection.
  • 2022.07 2022年電子情報通信学会 ソフトウェアサイエンス研究会 (IEICE/SS), 北海道自治労会館探索に基づくリファクタリング推薦におけるレビュー工数見積もりの利用.
  • 2022.05 30th IEEE/ACM International Conference on Program Comprehension (ICPC 2022 ERA), online Impact of Change Granularity in Refactoring Detection.

  • Work Experience

  • 2024.02-2024.10, Research & Development internship in Sony Group Corporation, Sony City Osaki, Shinakawa-ku, Tokyo
  • 2022.08-2022.09, Research & Development internship in NTT Software Innovation Center, Shinagawa Season Terrace, Shinagawa-ku, Tokyo
  • 2021-2022, Research Assistant in Tokyo Institute of Technology

  • Awards

  • 2025, Graduate student delegate, School of Computing, Institute of Science Tokyo
  • 2023-2025, Tokyo Tech Program for Development of Next-Generation Front-Runners with Comprehensive Knowledge and Humanity
  • 2022-2023, Tokyo Tech Advanced Human Resource Development Fellowship for Doctoral Students
  • 2022, Graduate student vice-delegate, School of Computing, Tokyo Institute of Technology
  • 2020, Monbukagakusho Honors Scholarship, JASSO
  • 2019, National Universities Green Computing Contest Second prize
  • 2018, National Universities Block Chain Contest Second prize
  • 2017-2018, Top Student Academic Scholarship, DUT
  • 2016-2017, Top Student Academic Scholarship, DUT

  • Skills

  • LLM, RAG, Fine-Tuning
  • Python, Java, Go, HTML, JS
  • Git, GitHub, CI/CD, Docker, DockerCompose
  • ChromaDB, PostgresSQL, MySQL
  • Language: English (TOEFL iBT 94/120), Japanese (JLPT N2 154/180), Chinese (native)
  • Cooking: Cook every day