About Me

I completed my Ph.D. study at Concordia University in 2022, under the supervision of Dr. Tse-Hsun (Peter) Chen (Concordia University) and Dr. Weiyi (Ian) Shang (University of Waterloo). My research interests include mining software repositories, AI for SE, and empirical software engineering.

Education

• Ph.D. in Computer Science, Concordia University, thesis defended in 2022
• M.A.Sc. in Software Engineering, Concordia University, 2019
• B.Eng. in Software Engineering, Harbin Institute of Technology, 2017

Selected Publications

• Conference Papers
  • [C5] Are They All Good? Studying Practitioners’ Expectations on the Readability of Log Messages.
    Zhenhao Li, An Ran Chen, Xing Hu*, Xin Xia, Tse-Hsun (Peter) Chen, and Weiyi Shang.
    The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023).
    PDF
  • [C4] Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction.
    Zhenhao Li, Chuan Luo*, Tse-Hsun (Peter) Chen, Weiyi Shang, Shilin He, Qingwei Lin*, and Dongmei Zhang.
    The 45th International Conference on Software Engineering (ICSE 2023).
    PDF
  • [C3] DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks.
    Zhenhao Li, Heng Li, Tse-Hsun (Peter) Chen, and Weiyi Shang.
    The 43rd International Conference on Software Engineering (ICSE 2021).
    PDF
  • [C2] Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks.
    Zhenhao Li, Tse-Hsun (Peter) Chen, and Weiyi Shang.
    The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020).
    PDF
  • [C1] DLFinder: Characterizing and Detecting Duplicate Logging Code Smells.
    Zhenhao Li, Tse-Hsun (Peter) Chen, Jinqiu Yang, and Weiyi Shang.
    The 41st International Conference on Software Engineering (ICSE 2019).
    PDF
• Journal Papers
  • [J1] Studying Duplicate Logging Statements and Their Relationships with Code Clones.
    Zhenhao Li, Tse-Hsun (Peter) Chen, Jinqiu Yang, and Weiyi Shang.
    IEEE Transactions on Software Engineering, published in 2022 (TSE 2022).
    PDF

Full List

(*: corresponding authors)

Experience

• Academic Services
  • Journal Reviewer: Information and Software Technology (IST)
  • Artifact Evaluation: ISSTA 2023
  • Shadow Program Committee: MSR 2021
  • Journal Co-reviewer: TSE, TOSEM, EMSE, JSS
  • Conference Co-reviewer: ASE 2023, ASE 2022, ICSE 2021, ICSE 2020, ICSME 2020, ICPE 2020, ICPC 2019, SANER 2019, ICSME 2018
• Internship Experience
  • Huawei: Software Engineering Application Technology Lab
  • Microsoft Research: Software Analytics Group
• Teaching Assistant
  • SOEN 341: Software Process (2021, 2020, 2019, 2018)
  • SOEN 342: Software Requirement (2018)
  • SOEN 345: Software Testing, Verification and Quality Assurance (2020)
  • SOEN 7481: Software Verification and Testing (2020, 2019)
• Volunteering
  • Student Volunteer: ICSE 2020

Honors and Awards

• Doctoral Research Scholarship, Fonds de recherche du Québec – Nature et technologies (FRQNT)
• Excellent Certificate of Stars of Tomorrow Internship Program, Microsoft Research Asia (MSRA)
• Leonard F. Ruggins Engineering PhD Scholarships, Concordia University
• Centre for Machine Intelligence Graduate Scholarship, Concordia University
• ACM SIGSOFT CAPS Award, ACM SIGSOFT
• Concordia International Tuition Award of Excellence, Concordia University
• Concordia University Conference and Exposition Award, Concordia University
• Concordia Merit Scholarship, Concordia University

Other Information

• Languages Skills
  • English
  • Chinese (Mandarin)
  • Korean