Scholar
Runlong (Harry) Ye
Google Scholar ID: UAtfVNYAAAAJ
PhD Student, University of Toronto
Citations & Impact
Citations
254
H-index
4
i10-index
1
Publications
11
Co-authors
22
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 1. Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents
- 2. ScholarMate: A Mixed-Initiative Tool for Qualitative Knowledge Work and Information Sensemaking
- 3. ARC: Automated Review Companion Leveraging User-Centered Design for Systematic Literature Reviews
- 4. Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
Research Experience
- 1. Design, Implementation, and Evaluation of Explainable and Trustworthy Coding Agent
- 2. Developing CopilotLens, a framework that transforms AI code generation from opaque suggestions into transparent, explainable interactions
- 3. Designing ScholarMate, a mixed-initiative tool for qualitative knowledge work and information sensemaking
- 4. Developing ARC, an open-source tool designed to streamline systematic literature reviews in computing research
- 5. Improving Student-AI Interaction Through Pedagogical Prompting
Education
- Degree: PhD
- University: University of Toronto
- Advisors: Prof. Michael Liut, Prof. Carolina Nobre
- Time: Ongoing
- Field: Human-Computer Interaction (HCI) and developing Human-Centered AI systems
Background
- Research Interests: Human-AI Collaboration, Explainable AI, Responsible AI, Programming Education, Mixed-Initiative Systems, Research Tools. Currently a 2nd year PhD student in the Dynamic Graphics Project (DGP) Lab at the University of Toronto.
Miscellany
- Previously collaborated with Profs. Tovi Grossman, Michelle Craig, and Tingting Zhu
