Weiyang Liu

Quantitative Researcher Intern

Hong Kong Island, Hong Kong, China
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Summary

🤩
Rockstar
🎓
Top School
Weiyang Liu is a quantitative researcher with 11 years of experience blending finance, quantitative modeling and software skills, currently working on factor models at AQUMON. He holds a First Class Honors BSc in Quantitative Finance & Computer Science and a 4.0 MSc in Finance from HKUST, with exchange study in CS at UIUC. His recent roles span equity derivatives structuring, exotic option pricing and backtesting, long-only equity research and ML-driven marketing analyses, showing versatility across research, valuation and production-ready modeling. Comfortable with both theoretical finance and practical implementation, he has hands-on experience preparing ISDA documentation and deploying backtests for trading ideas. A high-achieving problem-solver (top 0.06% in Guangdong Gaokao) who bridges rigorous academic training with applied quant work in Hong Kong’s asset management and structured products space.
code11 years of coding experience
bookHigh School, Science, Top 0.06% in Gaokao (National Higher Education Entrance Exam) in Guangdong, High School, Science, Top 0.06% in Gaokao (National Higher Education Entrance Exam) in Guangdong at The Affiliated High School of South China Normal University
bookUniversity of Illinois Urbana-Champaign
bookHong Kong University of Science and Technology (HKUST)
languagesEnglish, Chinese, Chinese
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Github Skills (40)

face-detection10
caffe10
loss-functions10
convolutional-neural-networks10
metric-learning10
image-recognition10
deep-learning10
adapter10
face-recognition10
softmax10
regularization9
energy9
pytorch9
similarity9
meta-learning9

Programming languages (6)

C++ShellHTMLJupyter NotebookMATLABPython

Github contributions (5)

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wy1iu/sphereface

Jul 2017 - Apr 2022

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Contributions:83 commits, 80 pushes, 1 branch in 4 years 9 months
face-recognitioncaffespherefacecvpr-2017face-detection
wy1iu/MHE

Sep 2018 - Apr 2022

Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
Contributions:40 commits, 38 pushes, 1 branch in 3 years 8 months
mhenips-2018minimum-hyperspherical-energyspherefacesphereface-plus
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