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Hello. I’m Lei (Rayne) Zhang.

I am a second year Ph.D. student at University of Michigan, School of Information, luckily advised by Professor Steve Oney.

My research interests lie primarily in the fields of Human-Computer InteractionVirtual/Augmented Reality, and Authoring & Programming Tools. Recently, I am doing research in immersive authoring in Virtual Reality to enable novices to easily build the VR world while immersed in VR. I am generally interested in building interactive VR & AR systems in order to enhance people’s creativity, productivity, communication, etc.

Previously, I was an undergraduate in the School of Software at Shanghai Jiao Tong University. I was a research member at the Digital ART Lab of Shanghai Jiao Tong University, supervised by Prof. Xubo Yang and Prof. Shuangjiu Xiao. I have also conducted research in the Computer Science Department at University of Illinois at Urbana-Champaign.

Contact: raynez@umich.edu

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Publications

FlowMatic: An Immersive Authoring Tool for Creating Interactive Scenes in Virtual Reality

Lei Zhang and Steve Oney (UIST 2020)

[DOI] [PDF] [30s preview]

In this paper, we introduces FlowMatic, an immersive authoring tool that raises the ceiling of expressiveness by allowing novice programmers to specify reactive behavior.

Studying the Benefits and Challenges of Immersive Dataflow Programming

Lei Zhang and Steve Oney (VL/HCC 2019)

[DOI] [PDF]
Best Short Paper Award

In this paper, we study the benefits and challenges of immersive dataflow authoring, a paradigm that allows users to build VR applications using dataflow notation while immersed in the VR world.

Cubicle: An Adaptive Educational Gaming Platform for Training Spatial Visualization Skills

Ziang Xiao, Helen Wauck, Zeya Peng, Hanfei Ren, Lei Zhang, Shiliang Zuo, Yuqi Yao, and Wai-Tat Fu (IUI 2018)

[DOI] [PDF]

We study gamification as a way to motivate first year engineering students to take part in an online workshop designed to train their spatial visualization skills. Our game contains eight modules, each designed to train a different component of spatial visualization.