YIN KAIJIE(殷 凯捷)

I am pursuing my PhD degree at the Machine Intelligence Laboratory (MIL) under the supervision of Prof. Tatsuya Harada. Before that, I received my Master's degree from the State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC) at the University of Macau, under the supervision of Professor KONG Hui.

I am currently a visiting student at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) from July to October 2026, supervised by Professor ZUO Xingxing. Previously, from May to October 2025, I was a visiting student at Singapore Management University, supervised by Professor ZHANG Zhiyuan.

GitHub  /  Google Scholar  /  Email

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Research

My research interests focus on efficient machine learning for computer vision and robotic perception. I aim to develop efficient models that enable hardware systems to perform real-time perception, interaction, and decision-making in real-world physical environments.

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Learning 1-Bit LiDAR-based Localization with Auxiliary Objective


Kaijie Yin, Zhiyuan Zhang, Tian Gao, Wentao Zhu, Chengzhong Xu, Hui Kong
European Conference on Computer Vision (ECCV), 2026
arxiv / code /

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Information-Bottleneck Driven Binary Neural Network for Change Detection


Kaijie Yin, Zhiyuan Zhang, Shu Kong, Tian Gao, Chengzhong Xu, Hui Kong
IEEE/CVF International Conference on Computer Vision (ICCV), 2025
arxiv / code /

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BHViT: Binarized Hybrid Vision Transformer


Tian Gao, Zhiyuan Zhang, Yu Zhang, Huajun Liu, Kaijie Yin, Chengzhong Xu, Hui Kong
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
arxiv / code /

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Pathfinder for Low-altitude Aircraft with Binary Neural Network


Kaijie Yin*, Tian Gao*, Hui Kong
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
arxiv / video / code /



Honors and Awards

  • 2026, Best Student Award (5%), University of Macau


Affiliations and Experiences

The University of Tokyo University of Macau Singapore Management University MBZUAI Eastern Institute of Technology, Ningbo


Services

Reviewer

  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026







Design and source code from Jon Barron's website