Zheng Wei
Daejeon, South Korea
I am a Postdoctoral Researcher at the KAIST Interaction Lab (KIXLAB). I received my Ph.D. in Human-Computer Interaction from the VisLab at the Hong Kong University of Science and Technology (HKUST), where I was supervised by Prof. Huamin Qu and co-supervised by Prof. Pan Hui. My academic foundation was further enriched by my time as a Visiting Researcher at the University of Chicago’s Knowledge Lab, collaborating with Prof. James Evans, and as a Research Intern at Microsoft Research Asia (MSRA) under the guidance of Dr. Yun Wang.
My research sits at the intersection of Visual Analytics, Human-Centered AI (HCAI), and Extended Reality (VR/AR/MR). Driven by the principle of the “human–AI loop,” I investigate how intent capture and collaborative feedback can empower creators and enhance human agency. My current work focuses on two primary pillars:
- Immersive Environments for Skill Training: Leveraging interactive environments to facilitate expert learning and skill acquisition.
- Human–AI Collaboration: Designing multi-agent co-creation systems that foster seamless partnerships between humans and generative intelligence for collaborative content creation.
I am an active contributor to the academic community, having organized courses at SIGGRAPH and SIGGRAPH Asia, and served as a Workshop Program Chair for CVPR and Proceedings Chair for ACM MMSys. My scholarly work has been published in premier venues such as CHI, UIST, IEEE TVCG, and VR, earning Best Paper Honorable Mentions at IEEE VR and ICSC. Beyond academia, my systems are supported by multiple research grants and a U.S. patent, with practical deployments bridging academic research and real-world Hollywood film production.
Ultimately, my goal is to shape AI systems that make complex information intuitive and create innovative pathways for responsible artistic expression.
selected publications
- TVCG
Illuminating the Scene: How Virtual Environments and Learning Modes Shape Film Lighting Mastery in Virtual RealityIEEE Transactions on Visualization and Computer Graphics, 2025 - TVCG
At the Peak: Empirical Patterns for Creating Climaxes in Data VideosIEEE Transactions on Visualization and Computer Graphics, 2025 - UIST
Cine Vision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer CollaborationIn ACM Symposium on User Interface Software and Technology (UIST), 2025 - ISMAR
Exploring Gaze Dynamics in VR Film Education: Gender, Avatar, and the Shift Between Male and Female PerspectivesIn IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2025