Computer Vision, Machine Learning, Optimization, FPGA
Experienced Data Scientist with a demonstrated history of working in the information technology and services industry. Skilled in Research and Development (R&D), Artificial Neural Networks, Deep Learning, Machine Learning, and Network Engineering. Strong engineering professional with a M.A.Sc focused in Electrical and Electronics Engineering from The University of British Columbia.
All Blogs Here
Convex Optimization in Chinese
Vector Search in Chinese
Tech Writing at MyScale
Email: fangrui.liu@outlook.com
LinkedIn: https://www.linkedin.com/in/fangrui-liu-151230189/
GitHub: https://github.com/mpskex
Zhihu: https://www.zhihu.com/people/liu-fang-rui-71-14
@inproceedings{liu2021attentive,
title={Attentive contrast learning network for fine-grained classification},
author={Liu, Fangrui and Liu, Zihao and Liu, Zheng},
booktitle={Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29--November 1, 2021, Proceedings, Part I 4},
pages={92--104},
year={2021},
organization={Springer International Publishing}
}
@phdthesis{liu2021learning,
title={Learning efficient binary representation for images with unsupervised deep neural networks},
author={Liu, Fangrui},
year={2021},
school={University of British Columbia}
}
@article{liu2020shuffle,
title={Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing},
author={Liu, Fangrui and Liu, Zheng},
journal={arXiv preprint arXiv:2011.10239},
year={2020}
}
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