Zhongyi ZHOU - 東京カレッジ
東京カレッジ
Postdoctoral Fellow

Zhongyi ZHOU

Research Interests Human-Computer Interaction, Artificial Intelligence Website https://zhongyizhou.net/
01 Research Description

I conduct research at the intersection of Human-Computer Interaction (HCI) and Artificial Intelligence (AI). In particular, I am interested in the following fields: Tool-use Large Language Models, Extended Reality, and Human-AI Interaction. During my PhD, I studied Interactive Machine Teaching, designing interactive systems to improve user experiences in prototyping AI models. Please visit my personal website for more details.

02 Short Biography

2024 – Postdoctoral Fellow, Tokyo College, The University of Tokyo

2024 – Visiting Researcher, Google

2024 – 2024 Special Postdoctoral Researcher, RIKEN AIP

2020 – 2024 Ph.D., School of Engineering, The University of Tokyo

2018 – 2020 M.S., School of Engineering, The University of Tokyo

2014 – 2018 B.S., School of Mechanical Engineering, Shanghai Jiao Tong University

03 Publications and Other Research Activities

Anran Xu, Zhongyi Zhou, Kakeru Miyazaki, Ryo Yoshikawa, Simo Hosio, and Koji Yatani. DIPA2: An Image Dataset with Cross-cultural Privacy Perception Annotations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7, 4, Article 192 (December 2023).

Zefan Sramek, Arissa J. Sato, Zhongyi Zhou, Simo Hosio, and Koji Yatani. SoundTraveller: Exploring Abstraction and Entanglement in Timbre Creation Interfaces for Synthesizers. In Proceedings of the 2023 ACM Designing Interactive Systems Conference (DIS ’23).

Zhongyi Zhou and Koji Yatani. Gesture-aware Interactive Machine Teaching with In-situ Object Annotations. In The 35th Annual ACM Symposium on User Interface Software and Technology (UIST ’22).

Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, and Imari Sato. Bringing Rolling Shutter Images Alive with Dual Reversed Distortion. In Computer Vision – ECCV 2022 – 17th European Conference.

Zhongyi Zhou, Anran Xu and Koji Yatani. SyncUp: Vision-based Practice Support for Synchronized Dancing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT) 5, 3, Article 143 (September 2021), 25 pages.

04 Honors and Awards

IMWUT Distinguished Paper Award (Vol. 5 and Vol. 7)

UbiComp Gaetano Borriello Outstanding Student Award Finalist

DIS 23 Best Demo Award

Google PhD Fellowship

UbiComp/ISWC ’21 Best Presentation Award


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