Harry Ye headshot
PhD Student & HCI Researcher

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.

Human-AI CollaborationExplainable AIResponsible AICS EducationMixed-Initiative Systems

Research
Projects

My research focuses on Human-Computer Interaction (HCI) and developing innovative Human-Centered AI systems for educational technologies and research tools.

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.

Human-AI CollaborationExplainable AIGenerative AI & LLMsResearch & Developer Tools

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.

Mixed-Initiative SystemsInformation VisualizationSensemaking & Knowledge WorkResponsible AI

Publications

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.

Research & Developer ToolsResponsible AIHuman-AI CollaborationSensemaking & Knowledge Work

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.

CS EducationHuman-AI CollaborationGenerative AI & LLMs

Publications

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
Improving Student-AI Interaction Through Pedagogical Prompting

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.

Information VisualizationSensemaking & Knowledge WorkGenerative AI & LLMsResearch & Developer Tools

Publications

TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models
TreeReader: Enhancing Article Comprehension through Hierarchical Tree-based Visualization

Past Projects

Completed research that has contributed to the field

Design and Evaluation of New Programming Tools for Novices using AI Coding Assistants

Past ProjectMentored by Majeed Kazemitabaar

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.

CS EducationHuman-AI CollaborationGenerative AI & LLMs

Investigating the Impact of Online Homework Reminders Using Randomized A/B Comparison

Past ProjectMentored by Angela Zavaleta-Bernuy

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.

CS EducationLearning Analytics

Publications

Latest News & Updates

Recent milestones, publications, and research activities.

First-authored Paper Conditionally Accepted at IUI 2026

2025-12

My first-authored work on LLM-enabled Systematic Literature Review Assistant has been accepted for publication.

Co-authored Paper Accepted at VL/HCC 2025

2025-10

Our work on LLM-enabled Hierarchical Academic Paper Reader has been accepted for publication.

First-authored Paper Accepted at COLM 2025 Workshop

2025-10

Our work on Explainable Coding Agent, has been accepted to the XLLM-Reason-Plan workshop.

First-authored Paper Accepted at CHIWORK 2025

2025-06

Our work on a visual tool for qualitative knowledge work and information sensemaking has been accepted for publication.

Started PhD at University of Toronto

2024-09

Joined the Dynamic Graphics Project Lab under the supervision of Prof. Michael Liut and Prof. Carolina Nobre.

Co-authored Paper Accepted at CHI 2024

2024-03

Our work on AI-assisted programming education has been accepted for publication.

Software Engineering Internship at Oracle

2024-06

Completed year-long full-stack software development internship.