Observe everything,
explain everything.
I'm Qiaolin (Isabelle) Qin
Ph.D. student at Polytechnique Montreal
About Me
I am a third-year Ph.D. student at Polytechnique Montreal, supervised by Professor Heng Li and Professor Ettore Merlo. Before joining PolyMTL, I obtained my bachelor's degree from Southeast University. My current research interests include data engineering, log analysis, AI fairness, and AI explainability. So far, I still prefer statistic-based solutions for tasks in these fields over LLM-based approaches.
Publications
2026
- Q. Qin, H. Li, and E. Merlo, "Unsupervised, Robust, and Lightweight Detection of Data Pattern Anomalies and Outliers," Information and Software Technology (IST), vol. 192, 2026.
- Q. Qin, J. Zhao, H. Li, W. Shang, and E. Merlo, "A Story About Cohesion and Separation: Label-Free Metric for Log Parser Evaluation," in Proceedings of the 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Research Papers track, 2026.
- Q. Qin, R. Spínola, and R. de Souza Santos, "On the Role and Impact of GenAI Tools in Software Engineering Education," in Proceedings of the 48th International Conference on Software Engineering, Software Engineering Education and Training (ICSE-SEET) track, 2026.
- Q. Qin and E. Merlo, "Prune Bias From the Root: Bias Removal and Fairness Estimation by Pruning Sensitive Attributes in Pre-trained DNN Models," Information and Software Technology (IST), vol. 188, 2026.
2025
- Q. Qin, B. Dijan, E. Merlo, H. Li, and S. Gambs, "Representation-Based Fairness Evaluation and Bias Correction Robustness Assessment in Neural Networks," Information and Software Technology (IST), vol. 188, 2025.
- Q. Qin, H. Li, E. Merlo, and M. Lamothe, "Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection," in Proceedings of the 47th International Conference on Software Engineering (ICSE), research track, 2025.
- Q. Qin, R. Aghili, H. Li, and E. Merlo, "Preprocessing is All You Need: Boosting the Performance of Log Parsers With a General Preprocessing Framework," in Proceedings of the 32nd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), research track, 2025.
- G. Caumartin, Q. Qin, S. Chatragadda, J. Panjrolia, H. Li, and D. E. Costa, "Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study," in Proceedings of the 32nd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), research track, 2025.
2024
- R. Aghili, Q. Qin, H. Li, and F. Khomh, "Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization," in Proceedings of the 40th IEEE International Conference on Software Maintenance and Evolution (ICSME), research track, 2024.
- Q. Qin, H. Li, E. Merlo, "Wrangling Data Issues to be Wrangled: Literature Review, Taxonomy, and Industry Case Study," arXiv preprint, 2024.
Experiences
Teaching
- Lecturer for LOG8371E: Software Quality Engineering (2025 Fall)
- Teaching Assistant for LOG6305: Techniques avancées de test du logiciel (2025 Winter)
Program Committee Member
- The IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Reproducibility Studies and Negative Results (RENE) Track Co-Chair, 2027
- The International Conference on Evaluation and Assessment in Software Engineering (EASE), Local Arrangements Co-Chair, AI Models / Data Track Co-Chair, 2027
- The International Workshop on Load Testing and Benchmarking of Software Systems (LTB), Committee Member, 2026
- The International Workshop on Fairness in Software Systems (Fairness), Journal-First Co-Chair, 2026
- The International Conference on Technical Debt (TechDebt), Committee Member in Technical Papers track, 2026
- The International Conference on Automated Software Engineering (ASE), Sub-reviewer in Research Papers Track, 2025
- The International Conference on Collaborative Advances in Software and Computing (CASCON), Committee Member in Artifacts track, 2025
- The International Conference on Evaluation and Assessment in Software Engineering (EASE), Committee Member in AI Models / Data track, 2025
Volunteering
- The IEEE/ACM International Conference on Software Engineering (ICSE), 2025
- Software Engineering for Machine Learning Applications Symposium (SEMLA), 2024
Industrial Experience
- Air Canada, Data Analyst Intern (Sep. 2023 – Aug. 2024)
- Intel Joint Research Institute on Intelligent Edge Computing, Computer Vision Algorithm Engineer Intern (Aug. 2022 – Apr. 2023)
Education
Ph.D. in Software Engineering
Polytechnique Montreal, Montreal, Canada
B.Eng. in Artificial Intelligence
Southeast University, Nanjing, China
Misc
Sports
- I train for bodybuilding, and I am currently a member of the UdeM dragonboat team.
- My current bare-hand deadlift PR is 295lbs (updated: 2026.03.04).
Path of Exile 2 Builds
- I am a cheap witch builder (no time to mine currencies) who stuggle with the visual clutter of minion builds. :-< I am trying to discover the upper bound of chaos-damage-core builds. Please leave your thoughts if you have comments on my existing builds.
- Debuff stacker: hybrid chaos+lightning Lich
- (TODO) Bleed out: chaos+poison+bleed Blood Mage