Jingjing Gong
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolJingjing Gong is an Assistant Researcher and PhD candidate in Natural Language Processing with about 10 years' experience spanning academia and industry, currently based in Shanghai. She has conducted NLP research at Fudan University and Tsinghua, and applied large-scale pretraining and research engineering at ByteDance and Tencent. Her contributions include hands-on development of neural network exercises and example code for deep learning courses, demonstrating strengths in implementing and optimizing models from linear regression to CNNs. Jingjing blends rigorous academic training with practical model development and data generation skills, often moving between prototyping and production-oriented research. Colleagues note her ability to translate complex algorithmic ideas into teachable code and reproducible experiments. She brings a pragmatic research mindset useful for bridging foundational NLP research and applied AI products.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at Fudan University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
mask-rcnn10
keras10
faster-rcnn10
machine-learning10
tensorflow10
python10
numpy10
linear-regression10
data-analysis9
Programming languages (5)
Github contributions (5)
nndl/nndl-practice
Jul 2019 - Jun 2020
邱锡鹏《神经网络与深度学习：案例与实践》PyTorch 实现
Role in this project:
Data Scientist
Data ScientistContributions:20 commits, 3 PRs, 18 pushes in 10 months
Contributions summary:Jingjing contributed exercises and example code for a neural network deep learning course, specifically focusing on exercises for linear regression, softmax regression, and CNNs. They implemented various basis functions, and optimized models using both least squares and gradient descent methods. The contributions involved building, training, and evaluating several neural network architectures. The user also worked on generating training data, and visualizing results.
actor-criticdqnchinesedeep-learningjupyter-notebook
jingjing-gong/page
Nov 2023 - May 2026
Contributions:129 pushes, 1 branch in 2 years 6 months
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