Boqi (Percy) Chen
PhD Candidate, McGill University
email: boqi⚫chen@mail⚫mcgill⚫ca
I am a PhD candidate in the Department of Electrical and Computer Engineering (ece) at McGill University, supervised by Prof. Daniel Varro and Prof. Gunter Mussbacher. Additionally, I work as an R&D engineer at Aggregate Intellect through a Mitacs grant. My research focuses on applying model-based techniques to enhance the reliability and robustness of machine learning systems. I am also actively involved in projects evaluating the quality and properties of machine learning models for various software engineering tasks, such as model generation, bug detection, and code summarization. With the rapid advancements in large language models, I am exploring their potential in software engineering applications and to further improve their robustness and reliability.
Currently, I’m a part-time research associate at Huawei Waterloo Research Center. Besides I’m also an active contributor to the open-source project Sherpa that aims to build a robust and easy-to-use large language model framework.
I also organize a bi-weekly (sometimes weekly) discussion group on graph neural networks and their applications. You can find the scedules here. If you are interested in joining, please subscribe to this calendar. We are also actively looking for new speakers, so if you are interested in presenting your work or any topics you are interested in, please feel free to reach out to me.
news
Sep 20, 2024 | The paper I contributed to “Iterative Automated Domain Modeling with Large Language Models” has been accepted to MDE Intelligence @ MODELS 2024! |
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Sep 20, 2024 | Our paper “Embedding-based Automated Assessment of Domain Models” has been accepted to MODELS 2024 Educator Symposium! |
May 30, 2024 | I will talk about LLMs and Graphs in the GNN Discussion Group. Please join us here |
selected publications
- MODELS-CPrompting or Fine-tuning? A Comparative Study of Large Language Models for Taxonomy ConstructionIn 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) , 2023
- REWOn the use of GPT-4 for creating goal models: an exploratory studyIn 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW) , 2023
- ASEConsistent scene graph generation by constraint optimizationIn Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering , 2022