This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a Queen's University directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $60,000
Pragmatic Automated Code Transformation Leveraging Large Language Models
NSERC · 2024 · Principal investigator
- $129,760
An Experimental Platform to Comparatively Evaluate Large Pre-trained Models on SE Tasks
NSERC · 2024 · Principal investigator
- $90,000
Towards reliable smart home ecosystems
NSERC · 2023 · Co-investigator
Pragmatic Automated Code Transformation Leveraging Large Language Models
Principal investigators: Tian, Yuan Y
Keywords: automated code transformation; automated software engineering; code migration; code refacotring; large language models; mining software repositories
An Experimental Platform to Comparatively Evaluate Large Pre-trained Models on SE Tasks
Principal investigators: Tian, Yuan
Keywords: Automated Software Engineering; Evaluation and Selection of Large Pre-trained Models; Experimental Platform; Large Pre-trained Model Reuse; Maintenance of Large Language Models in Production; Pre-trained Models for Code; Responsible AI
Towards reliable smart home ecosystems
Principal investigators: Yang, Jinqiu J
Keywords: internet of things; smart home ecosystem; software dependability; software engineering; software evolution; software reliability; software security; software testing
CREATE Training Program in Medical Informatics: Preparing Canada's Workforce for Health Data of Tomorrow
Principal investigators: Mousavi, Parvin P
Keywords: artificial intelligence; computer-aided interventions; data science; decision making in digital health; democratization of ai for health; digital health; imaging informatics; machine learning; medical image and signal procession; medical informatics
Reliable and Explainable Recommender Systems for Efficient Software Development
Principal investigators: Tian, Yuan
Keywords: recommendation systems for software engineering (rsses); mining software repositories; explainable artificial intelligence; reliable recommender systems; context-aware systems; knowledge representation and reasoning; software development; automated software engineering; adaptive recommender systems
Reliable and Explainable Recommender Systems for Efficient Software Development
Principal investigators: Tian, Yuan
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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