I am a Research Scientist at Adobe Research.
My research centers on human-AI interaction, focusing on advancing the next generation of AI systems that empower and inspire creative expression. I design, develop, and study interactive AI systems that enhance human capabilities in creating, consuming, and interacting with digital content, with a particular focus on video and audio.
I obtained my Ph.D. and M.Sc. at the University of Toronto supervised by Tovi Grossman, and my B.Sc. at National Taiwan University.
News
One paper accepted to CHI '25 and another to IUI '25
Two papers resulting from collaborations with universities in Taiwan have been conditionally accepted. Details to come.
Academic Services
Serve as an Associate Chair (AC) for UIST 24, CHI 25, and DIS 25. Reviewer for ICML workshop proposals.
Publications
ACM 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
Details coming soon.
ACM IUI 2025
SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas
Yu-Kai Hung, Yun-Chien Huang, Ting-Yu Su, Yen-Ting Lin, Lung-Pan Cheng, Bryan Wang*, Shao-Hua Sun* (∗Equal advisory contribution.)
Details coming soon.
EMNLP, Findings Track 2023
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Tao Li, Gang Li, Zhiwei Deng, Bryan Wang, Yang Li
ACM UIST, Doctoral Symposium 2023
Democratizing Content Creation and Consumption through Human-AI Copilot Systems
Bryan Wang
Press
University of Toronto Magazine, April 2024
MarkTechPost, Feb. 2024
Revolutionizing Video Editing: How LAVE and AI are Democratizing Creative Expression
Google AI Blog, May. 2023