Yizhou Xu
Stockholm
Summary
13456
Overview
5
5
years of professional experience
Work History
Intern
TSFA
01.2022 - Current
- Provided 600+ users with various functions related to campus football, e.g., match data query and referee arrangement
- Implemented 100,000+ lines of code with Django, MySQL (backend) and JavaScript, HTML/CSS, Vue3 (frontend).
TSFA
07.2018 - Current
- Developed multiple functions of the TSFA (Tsinghua Student Football Association) website
- Implemented more than five different functions with the LAMP stack (Linux, Apache, MySQL, PHP)
- Full-stack Developing WeChat Mini-Program
04.2023 - 06.2023
- Neural Radiance Fields (NeRF) with Hash Encoding
- KTH, Implemented Hash Encoding (Müller et al., 2022) for NeRF in pure PyTorch
- 5x fewer training steps and 60x smaller model sizes while achieving competitive performances.
SSSB Reminder
07.2022 - 01.2023
- Developed a system to monitor sssb.se and send email alerts for available housing
- A pure Python solution includes web crawling (Selenium), database (MongoDB) and web services (Django)
- Heterogeneous Information Fusion for Medication Recommendation
THUNLP
06.2021 - 02.2022
- Proposed application of BERT pre-training method for patient heterogeneous information fusion
- Achieved 5.3% performance improvements on medication recommendation task
- Modeling Long-term Dependency with a Key-Value Cache
Intern
Tencent, Technology First Group
12.2020 - 05.2021
- Focused on research work of efficiently training Pruned Transformer Models for Machine Translation
- Proposed to prune the model before convergence to avoid redundant training
- Saved training time of a machine translation model by more than 50% compared to standard practice.
Transformer
THUNLP
01.2019 - 11.2020
- Designed a cache for attention mechanism in, to reduce the complexity of long-term dependency modeling
- Gained 0.3-1.2 PPL (Perplexity) decrease on language modeling task compared to Transformer-XL (Dai et al., 2019)
- Developing and Maintaining the Website
Education
Master’s - Machine Learning
Royal Institute of Technology (KTH)
Master of Science - Computer Science and Technology
Tsinghua University
Bachelor of Science - Mathematics and Physics
Tsinghua University
Skills
- KEY COMPETENCIES
- Programming Specialist
- Proficient in Python programming, also good at JavaScript, PHP, C/C, C#, HTML/CSS, MySQL
- Rich experience in both backend and frontend development, as well as web crawling
- Skilled in Deep Learning
- Familiar with modern deep learning models, architectures and algorithms
- Extensive PyTorch neural model implementation and training experience, including multi-GPU distributed training
Timeline
04.2023 - 06.2023
SSSB Reminder
07.2022 - 01.2023
TSFA
01.2022 - Current
THUNLP
06.2021 - 02.2022
Intern
Tencent, Technology First Group
12.2020 - 05.2021
Transformer
THUNLP
01.2019 - 11.2020
TSFA
07.2018 - Current
Intern
Master’s - Machine Learning
Royal Institute of Technology (KTH)
Master of Science - Computer Science and Technology
Tsinghua University
Bachelor of Science - Mathematics and Physics
Tsinghua University
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