Currently work at Wingene Data Science Inc. as AI (NLP) Engineer and Institute of Information Science, Academia Sinica as Research Assistant.
Yu-Ting Lee, a dedicated and innovative Natural Language Processing (NLP) researcher with a specialized focus on natural language generation and knowledge updating. Lee holds a distinguished academic background, having graduated from the Department of Computer Science at National Chengchi University, a testament to a solid foundation in computational studies and a keen interest in linguistic technologies.
The pinnacle of Lee''s research endeavors can be seen through the master''s thesis, which intricately explores the realm of full article updating, given non-updated information and triggered events. This work demonstrates a profound understanding of the dynamic interplay between static information and evolving knowledge, ensuring that generated text remains relevant and accurate amidst the ever-changing informational landscape.
Notably, Lee has also made a significant contribution to the academic community with work published at Conference on Infsormation and Knowledge Management (CIKM) in 2022, reflecting a commitment to advancing the field of NLP through rigorous research and knowledge dissemination. Lee continues to delve deeper into the exploration of how machines can adeptly generate and update language, bridging the gap between static knowledge and the fluidity of human communication.
Programming | Deep Learning Framework | OS, IDEs, Text Editors | Dev Tools |
---|---|---|---|
Python (approx. 6 years experience. Extensive) | PyTorch (Extensive) | macOS | Hugging Face (Extensive) |
C Programming (minor) | PyTorch Lightning (Extensive) | Linux (Ubuntu, Debian) | Gradio (Extensive) |
Competitive Programming, Shell (beginner) | Keras (minor) | Jupyter | PySpark (beginner) |
Git Flow | Tensorflow (minor) | Google Colab | |
VIM, Sublime Text (Extensive) |
Title | Description | Language | Stars | Forks |
---|---|---|---|---|
Event-Triggered-Article-Updating-System |
Event Triggered Article Updating System | Python, PyTorch, Shell, Gradio | 2 | 2 |
Lightning-AI/lit-llama |
Debugging the source code related to fine-tune LLaMA | Python, PyTorch, PyTorch-Lightning | 5.6k | 486 |
hhhuang/NetKu |
A Multi-grained Dataset for News Event Triggered Knowledge Update | Python, PyTorch, Shell | 2 | 1 |
iNLPfun |
NLP related scripts | Python, PyTorch | 3 | 2 |
G4G-Hiring-Data-Science |
Hackathon - GeeksforGeeks Hiring Data Science: Scraping data from YouTube and Analyzing | Python, NumPy | 0 | 0 |
XPS-9360-macOS |
Hackintosh on Dell XPS 13 9360 | C++, Shell, Python | 180 | 34 |
COVID-Tweets-Summ |
Specific-Aspect Summarization on News According to Social Sentiments | Python, Hugging Face, PyTorch | 0 | 0 |
NLP-sentiment-analysis |
Sentiment Analysis models with multiple algorithms on movie reviews | Python, Jupyter | 2 | 2 |
Title | Conference/Institute | Code | Author/Co-author | Date | |
---|---|---|---|---|---|
Knowledge Update in Full Text Triggered by a News Event | Master's Thesis @ Department of Computer Science, National Chengchi University |
[PDF] | [Code] | Yu-Ting Lee | October 2023 |
A Multi-grained Dataset for News Event Triggered Knowledge Update | ACM International Conference on Information and Knowledge Management (CIKM 2022) | [PDF] | [Code] | Yu-Ting Lee, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li and Hen-Hsen Huang | 17 October 2022 |
A Sentiment Analysis Method based on a Transformer and a Recurrent Neural Network | National Taiwan University Management Reviews: 1st Management and Medical Sciences Interdisciplinary Conference | [PDF] | [Code] | Yu-Ting Lee, Yen-Ching Chang, Wei-Syuan Guo and Jhomg-Chen Cao | November 2020 |
Types | TItle | Date |
---|---|---|
Reviewer | LREC-COLING 2024 | 2024/01 |
Invited Talks | Dense Information Retrieval with Large Language Models | 2024/03/22 |
Institute | Course | Date |
---|---|---|
Coursera | Natural Language Processing with Sequence Models | 2021/07 |
Coursera | Natural Language Processing with Probabilistic Models | 2021/07 |
Coursera | Natural Language Processing with Classification and Vector Spaces | 2021/07 |
Coursera | Natural Language Processing with Attention Models | 2021/07 |
Coursera | Natural Language Processing Specialization | 2021/07 |
Coursera | Fine Tune BERT for Text Classification with Tensorflow | 2021/07 |
Coursera | Supervised Machine Learning: Regression and Classification | 2022/09 |
Coursera | Advanced Learning Algorithms | 2022/11 |
Coursera | Unsupervised Learning, Recommenders, Reinforcement Learning | 2022/12 |
Coursera | Machine Learning Specialization | 2022/12 |
Located at Hualien, Taiwan
- More NLP Projects
- AWS Certified DevOps Engineer
- Contribute to PyTorch Lightning Projects
- Contribute to LLM Projects
- Kaggle Competitions
- Image/Video Automatic Processing
- Self-driving Car (Deep Learning: Resume
)
- Microservices
- Docker, Kubernetes