I am a Research Scientist at Adobe Research.
My research centers on human-AI interaction, with a focus on creating interactive AI systems that empower and inspire creative expression in video and audio. Recent highlights include research on video editing agents, UI agents, and LLM-assisted image generation.
I received my Ph.D. and M.Sc. in Computer Science from the University of Toronto and my B.Sc. in Computer Science from National Taiwan University.
Publications
*I primarily publish system HCI work at top-tier venues (CHI, UIST, IUI), with two papers among the top 6 highest cited UIST papers published in the past 5 years.
Filter by venue:
arXiv 2025
KnowledgeTrail: Generative Timeline for Exploration and Sensemaking of Historical Events and Knowledge Formation
Sangho Suh, Rahul Hingorani, Bryan Wang, Tovi Grossman
arXiv 2025
Script2Screen: Supporting Dialogue Scriptwriting with Interactive Audiovisual Generation
Zhecheng Wang, Jiaju Ma, Eitan Grinspun, Tovi Grossman, Bryan Wang
CHI 2025
GazeNoter: Co-Piloted AR Note-Taking via Gaze Selection of LLM Suggestions to Match Users' Intentions
Hsin-Ruey Tsai, Shih-Kang Chiu, Bryan Wang
Thesis 2025
Human-AI Systems for Creating, Consuming, and Interacting with Digital Content
Bryan Wang
arXiv 2024
Flowy: Supporting UX Design Decisions Through AI-Driven Pattern Annotation in Multi-Screen User Flows
Yuwen Lu, Ziang Tong, Qinyi Zhao, Yewon Oh, Bryan Wang, Toby Jia-Jun Li
EMNLP 2023
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Tao Li, Gang Li, Zhiwei Deng, Bryan Wang, Yang Li
UIST 2023
Democratizing Content Creation and Consumption through Human-AI Copilot Systems
Bryan Wang
Experience
Research Intern — Meta Reality Labs - Research
Host(s): Raj Sodhi
Developed LAVE, a video editing tool with LLM-powered agent assistance. Published at IUI 2024.
Student Researcher — Google Research
Host(s): Yang Li and Gang Li
Designed prompting techniques for conversational mobile UI interaction using LLMs. Published at CHI 2023.
Research Intern — Adobe Research
Host(s): Gautham J. Mysore and Zeyu Jin
Developed ROPE, an audio story editing tool for automatically shortening voice recordings using NLP. Published at UIST 2022
Research Intern — Google Research
Host(s): Yang Li and Gang Li
Created large-scale UI-language dataset (110k+ summaries, 22k+ UIs) and trained multimodal networks for screen summarization. Published at UIST 2021.