Lei Chen

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

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Lei Chen


Education

  • 2023.12-2024.06, Università della Svizzera italiana (USI), Collaborative Researcher
  • 2022.10-, 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. MORCoRA: Multi-Objective Refactoring Recommendation Considering Review Availability. Accepted by Int'l Journal of Software Engineering and Knowledge Engineering, to be published.
  • 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.
  • Takayoshi Ueno, Lei Chen, Shinpei Hayashi. ソースコード変更に含まれるリファクタリングの識別環境の構築. 電子情報通信学会技術研究報告, vol. 123, no. 414, pp. 73-78. 石垣市健康福祉センター, 沖縄, mar, 2024.
  • Yuko Higuchi, Lei Chen, Shinpei Hayashi. 抽象構文木に基づくソースコード変更パターンの抽出と自動適用. 電子情報通信学会技術研究報告, vol. 123, no. 414, pp. 43-48. 石垣市健康福祉センター, 沖縄, mar, 2024. [研究奨励賞 受賞]
  • 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
  • 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

  • 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

  • 2023-, Tokyo Tech Program for Development of Next-Generation Front-Runners with Comprehensive Knowledge and Humanity
  • 2022-, 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

  • Python, Java, HTML, JS, Go
  • Language: English (TOEFL iBT 94/120), Japanese (JLPT N2 154/180), Chinese (native)
  • Cooking: Cook every day

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