Shen Li
Leader Of Algorithm Group at DeeplyCurious.AI
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolShen Li is an algorithm leader with 8 years of experience specializing in NLP research and Chinese language technologies, currently heading the Algorithm Group at DeeplyCurious.AI in Haidian, Beijing. He holds a master's in Chinese Information Processing from Beijing Normal University and brings a rare mix of computer science and linguistics from his undergraduate studies. Practically focused, Shen has contributed to open-source evaluation tooling for Chinese word vectors—fixing parsing bugs and refactoring evaluation scripts to improve vector assessment accuracy. He combines research rigor with hands-on engineering to move cutting‑edge NLP models and evaluations toward production-ready applications.
8 years of coding experience
Master, Chinese Information Processing, Master, Chinese Information Processing at Beijing Normal University
Github Skills (5)
word-embeddings10
nlp10
python10
numpy10
ch9
Programming languages (1)
Github contributions (5)
Embedding/Chinese-Word-Vectors
May 2018 - Mar 2021
100+ Chinese Word Vectors 上百种预训练中文词向量
Role in this project:
Data Scientist
Data ScientistContributions:67 commits, 2 PRs, 23 pushes in 2 years 10 months
Contributions summary:Shen primarily contributed to the evaluation component of the repository, focusing on evaluating Chinese word vectors. Their work involved fixing bugs in reading vector files, which impacted the accuracy of the evaluations. They also refactored and formatted existing code, and updated links within the evaluation scripts. The user's changes concentrated on `ana_eval_dense.py` and `ana_eval_sparse.py`, indicating a focus on the evaluation of different vector representations.
chineseword-embeddingsword-vectorsword2vectopic-modeling
shenshen-hungry/Semantic-CNN
Jul 2017 - May 2018
Contributions:24 commits, 23 pushes, 1 branch in 10 months
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