
Harry Ye叶 润龙
I'm a 2nd year PhD student in Dynamic Graphics Project (DGP) Lab at the University of Toronto, advised by Prof. Michael Liut and Prof. Carolina Nobre. My research focuses on developing responsible and explainable AI systems for complex knowledge work.
Previously, I had the privilege of collaborating with Profs. Tovi Grossman, Michelle Craig, and Tingting Zhu.
Research
Projects
Current Projects
Ongoing research initiatives exploring the frontiers of HCI and AI
Explainable and Trustworthy AI Coding Agent
Developing CopilotLens, a framework that transforms AI code generation from opaque suggestions into transparent, explainable interactions. By providing post-hoc summaries and on-demand explanations, we aim to foster more trustworthy human-AI collaboration in software development.
Publications

Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents
Ye, R., Zhang, Z., Almazroua, B., Liut, M.
Mixed-Initiative and Responsible AI in Qualitative Analysis
ScholarMate is an interactive system that augments qualitative research by blending AI assistance with human oversight. The tool enables researchers to work on a visual canvas, organizing and connecting text snippets while maintaining critical engagement and control over the analysis process.
Publications

Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis through Design for Deliberation
Ye, R. et al.
AI-Infused Systematic Literature Review Assistant
ARC is an open-source tool designed to streamline systematic literature reviews in computing research. Developed through user-centered design with 20 experienced researchers, it automates literature searches, data extraction, and reference tracking while maintaining transparency and reproducibility standards.
Improving Student-AI Interaction Through Pedagogical Prompting
This work introduces pedagogical prompting, a theoretically-grounded concept to teach students how to effectively prompt LLMs to improve their learning. An interactive system was designed and developed with scenario-based instruction to train these skills.
Publications

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
Xiao, R., Hou, X.*, Ye, R.*, Kazemitabaar, M.*, Diana, N., Liut, M., Stamper, J.
*contributed equally
TreeReader: Enhancing Article Comprehension through Hierarchical Tree-based Visualization
TreeReader revolutionizes academic paper navigation by transforming linear documents into an interactive, hierarchical tree, allowing users to selectively expand and collapse sections and sub-sections on the tree base on user intension. This structure, combined with on-demand access to source text and contextual information, offers a more focused and efficient way to engage with complex scholarly literature beyond summarization.
Publications

TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models
Zhang, Z., Chen, P., Du, F., Ye, R., Huang, O., Liut, M., Aspuru-Guzik, A.
Past Projects
Completed research that has contributed to the field
Design and Evaluation of New Programming Tools for Novices using AI Coding Assistants
CodeAid is an LLM-based AI programming assistant deployed in a university classroom of 700 students. Through analysis of 8,000 usages, student surveys, and educator feedback, we investigated how AI programming tools can balance educational value with practical support.
Publications

Investigating the Impact of Online Homework Reminders Using Randomized A/B Comparison
OnTrack investigates how email reminders affect student learning behaviors through randomized A/B testing. Using multi-armed bandit algorithms, we optimize intervention strategies to support student engagement while measuring behavioral impacts on academic performance.
Publications



Latest News & Updates
Recent milestones, publications, and research activities.
First-authored Paper Conditionally Accepted at IUI 2026
2025-12My first-authored work on LLM-enabled Systematic Literature Review Assistant has been accepted for publication.
Co-authored Paper Accepted at VL/HCC 2025
2025-10Our work on LLM-enabled Hierarchical Academic Paper Reader has been accepted for publication.
First-authored Paper Accepted at COLM 2025 Workshop
2025-10Our work on Explainable Coding Agent, has been accepted to the XLLM-Reason-Plan workshop.
First-authored Paper Accepted at CHIWORK 2025
2025-06Our work on a visual tool for qualitative knowledge work and information sensemaking has been accepted for publication.
Started PhD at University of Toronto
2024-09Joined the Dynamic Graphics Project Lab under the supervision of Prof. Michael Liut and Prof. Carolina Nobre.
Co-authored Paper Accepted at CHI 2024
2024-03Our work on AI-assisted programming education has been accepted for publication.
Software Engineering Internship at Oracle
2024-06Completed year-long full-stack software development internship.

