I am currently a Ph.D. student advised by Prof. Weiyi Shang in Department of Computer Science and Software Engineering, Concordia University. I received my B.Eng. degree in software engineering from Beijing University of Posts and Telecommunications.

My research interest includes software performance engineering and software log analysis.

Publications

• On the Temporal Relations between Logging and Code

  Zishuo Ding, Yiming Tang, Yang Li, Heng Li, Weiyi Shang

  The 45th International Conference on Software Engineering (ICSE 2023)

• Towards Learning Generalizable Code Embeddings using Task-agnostic Graph Convolutional Networks

  Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun Peter Chen

  ACM Transactions on Software Engineering and Methodology (TOSEM)

• LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation

  Zishuo Ding, Heng Li, Weiyi Shang

  The 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022)

• Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks

  Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun Peter Chen

  Empirical Software Engineering (EMSE)

• 🏆 Towards the Use of the Readily Available Tests from the Release Pipeline as Performance Tests. Are We There Yet? (ACM SIGSOFT Distinguished Paper Award)

  Zishuo Ding, Jinfu Chen, Weiyi Shang

  The 42nd International Conference on Software Engineering (ICSE 2020)

Honors and Awards

• ACM SIGSOFT Distinguished Paper Award, The 42nd International Conference on Software Engineering (ICSE 2020)
• Centre for Pattern Recognition and Machine Intelligence Graduate Scholarship, Concordia University
• Carolyn and Brian Neysmith Graduate Scholarship, Concordia University
• Dr. T. Radhakrishnan In-Course Graduate Bursary in Computer Science, Concordia University
• ACM SIGSOFT CAPS Travel Awards, ICSE 2020

Invited Talks

• 2021.07, Shenzhen University, China, Towards the Use of the Readily Available Tests from the Release Pipeline as Performance Tests,
• 2021.05, Wind River, Canada, Towards the Use of the Readily Available Tests from the Release Pipeline as Performance Tests. From Research to Industry