Scholar
Fengyuan Liu
Google Scholar ID: fUVOyM4AAAAJ
Mila, McGill University
Citations & Impact
Citations
4
H-index
1
i10-index
0
Publications
2
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Published paper: 'AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution'
- - Published paper: 'Efficient Model Development through Fine-tuning Transfer'
Research Experience
- - Worked at Huawei Canada for a year on AI infrastructure, network protocols, network simulators, and AI for network
- - Worked at the Advanced Electronics and Photonics Research Center at the National Research Council Canada under the guidance of Dr. Guocheng Liu, applying machine learning techniques to digital signal processing in optical and wireless communications
Education
- - MSc. in Computer Science, Mila & McGill University, supervised by Prof. Siva Reddy and Prof. Dzmitry Bahdanau
- - BSc. in Engineering Science - Machine Intelligence, University of Toronto, research intern at Vector Institute and the University of Toronto, supervised by Prof. Colin Raffel
Background
- Research Interest: To create efficient, adaptable AI systems that can seamlessly integrate into everyday life, ensuring accessibility and trust for all.
Miscellany
- Organizing MCDC workshop, to be held in person at ICLR 2025.
Co-authors