Kaijie Yin 殷凯捷
About
I am pursuing my Ph.D. degree at the Machine Intelligence Laboratory (MIL), The University of Tokyo, 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 Prof. Hui Kong.
I was a visiting student at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) from July to October 2026, supervised by Prof. Xingxing Zuo. Previously, from May to October 2025, I was a visiting student at Singapore Management University, supervised by Prof. Zhiyuan Zhang.
Research Interests
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.
Publications
[Google Scholar]
Learning 1-Bit LiDAR-based Localization with Auxiliary Objective
European Conference on Computer Vision (ECCV), 2026
Information-Bottleneck Driven Binary Neural Network for Change Detection
IEEE/CVF International Conference on Computer Vision (ICCV), 2025
BHViT: Binarized Hybrid Vision Transformer
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Pathfinder for Low-altitude Aircraft with Binary Neural Network
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
* Equal contribution.
Honors and Awards
- Best Student Award (5%), University of Macau, 2026
Affiliations and Experiences
Academic Services
Conference Reviewer
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026
- IEEE International Conference on Robotics and Automation (ICRA), 2027