mpskex.github.io

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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.

Blogs

All Blogs Here

Convex Optimization in Chinese

Vector Search in Chinese

Tech Writing at MyScale

Contact

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

Publications

@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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