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dnimo/README.md

KuoCh'ing Chang (GUOQING ZHANG)

Basic info

Live in Kyoto, Japan

Skills

  • JLPT: N2, TOEFL: 79

  • C++, Python, Java, TensorFlow, Pytorch, MapReduce

Education

Work Experience

  • System operation and maintenance.
  • In 2020, I joined the Microsoft Student Ambassador community through the interview of Microsoft Student Ambassador Asia leader in China. After entering the community, I actively participated in the online conferences held by Microsoft and contacted developers all over the world. At present, I continue to study in the health care team, also the field I want to be engaged in the post-graduate stage.

Publication

  • Zhang, G., Fukuyama, K., Kishimoto, K., & Kuroda, T. (2024). Optimizing Automatic Summarization of Long Clinical Records Using Dynamic Context Extension: Testing and Evaluation of the NBCE Method. arXiv preprint arXiv:2411.08586.
  • 范梦月, 姚琳, Zhang, G., 王瑞雪, Chen, K., Fan, Y., Wang, Z., Fu, J., 陈永君, & 王泰一. (2024). Study on subtyping and traditional Chinese medicine treatment of depression based on machine learning and text mining. Journal of Traditional Chinese Medicine (JTCM). (稿号: 2023-00963). Accepted for publication.

Project

ZhongYi-NER

Pytorch NLP NER

GitHub Address:https://github.com/dnimo/ZhongYi-NER2

A pointer Network named entity labeling model for Ancient Chinese Medicine books based on Bert Encoder.

Bert-information-Extraction

Keras Inforantion Extracting

GitHub Address: https://github.com/dnimo/Bert-information-Extraction

Participate in the 2021 service outsourcing competition, extract the multiple relationships in the financial data text.

HuskyMed

Python Medical Informatics Medical AI

Github Address: https://github.com/dnimo/HuskyMed

This project is release by KuoCh'ing Chang. We shooting this project to solve medical text processing.

Competition/Award Selected

Pinned Loading

  1. HuskyMed HuskyMed Public

    This project is created to practice the auto-summarization from Clinical Notes based on KuoCh'ing's master thesis project. The data resources are from Kyoto University Hospital, and the project is …

    Python

  2. ZhongYi-NER2 ZhongYi-NER2 Public

    通过收集数据去训练下游的中医文本NER标注模型,在上游使用了Bert作为特征提取器,减少了下游模型的数据需求。

    Python 6

  3. Bert-information-Extraction Bert-information-Extraction Public

    2021服务外包大赛参赛,抽取金融数据文本中的多元关系

    Python 3 1

  4. DGCNN-information-Extraction DGCNN-information-Extraction Public

    基于苏剑林项目的复用,应用于金融事件关系抽取

    Python 8 2

  5. NR-Kyoto/pois-2nd-project NR-Kyoto/pois-2nd-project Public

    HTML