Scholar
Ye Yuan
Google Scholar ID: lemEc74AAAAJ
McGill University, Mila - Quebec AI Institute
Citations & Impact
Citations
417
H-index
8
i10-index
7
Publications
14
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Received the DAAD AINeT Fellowship, Bank of Montreal (BMO) Responsible AI Senior Scholar, BMO Responsible AI Fellowship, ICLR 2025 Financial Assistance, NeurIPS 2023 Scholar Award, McGill Faculty of Science Graduate Scholarship, and McGill Graduate Excellence Awards. During his internship at Noah's Ark Lab Canada, he also received the Outstanding Contribution Award in R&D Peripheral Fields, Overseas Business Contribution Award, and Canada Research Institute President's Spot Award. Published multiple papers covering offline model-based optimization, knowledge-centric natural language processing, and generative models in real-world applications.
Research Experience
- Interned and collaborated closely with researchers at Microsoft Research, Samsung Research America, Noah's Ark Lab Canada, and RBC Borealis AI.
Education
- Pursued Bachelor's studies from 2019 to 2022, receiving a Bachelor's Degree of Science in Honours Computer Science at McGill University; currently a fourth-year Ph.D. candidate in Computer Science at McGill University and Mila - Quebec AI Institute. Supervised by Professor Xue (Steve) Liu, with Professors Adriana Romero Soriano and Gintare Karolina Dziugaite as supervision committee members.
Background
- Research interests include the application of intelligent systems and generative models, particularly score-based generative algorithms and large language models. Focused on addressing offline black box optimization challenges, alleviating issues in knowledge-centric NLP tasks, and improving the efficiency and efficacy of AI systems in real-world applications.
Miscellany
- Quotes Zai Zhang: 'To ordain conscience for Heaven and Earth. To secure life and fortune for the people. To continue lost teachings for past sages. To establish peace for all future generations.'
