Hsinchu City, Taiwan
2020 - 2022
2016 - 2020
Jul 2021 - 2021
Deep learning (NLP、CV)
Chat bot (Discord)
Visual Studio Code
Windows 10 / 7 / Xp
Ubuntu 16.04 / 18.04
Taiwanese (South Accent)
English (Toeic 795)
Clean up the hand-write datasets from bank customer and train the recognition model.
Use Azure service to create cross-platform chatbot. Match the transaction nearby without logistics.
Competition for all CS students in graduating year. We make a vehicle trajectories prediction project by SGAN, a machine learning technique. (See project Vehicle Trajectories Prediction by Machine Learning below in detail)
C++ programming contest.
Evaluate whether AI could be used to Debug MTK ISP module errors.
Provide a tool prototype ( find the error of two modules or no error)
* High accuracy ( >= experts under one module experiment)
* Show AI can classify global and local issues of ISP bugs
Collect a raw dataset
* includes generation method and flow
Technology stack: Torch, python
This project is for NTUT object oriented lab course. The rule is, using object oriented and easy framework (not a game engine, only loop) to make a comprehensive game. Finally, we spent 80 hours and got the 1st score in course.
intro web (play and github): https://nawanae.github.io/PokemonWebV2/
Technology stack: JS, css, html, canvas
This is the final project for Deep Learning and NLP Research Methodologies course, NTHU. We propose our debluring model to handle OCR blurry input. Hence, we adopt the SmartDocQA, a real-world phone took text images dataset, as our deblur dataset. After our aligment of dataset and training, finally we get better OCR accuracy.
Technology stack: Tesseract OCR, DMPHN, pytorch, CBAM, CNN, deblury
The graduated project of NTUT CS dept. We cooperated with M.S. student to enhance the SGAN trajectories prediction model. Eventually, we get better predictions by extracting new features and attention in model.
Technology stack: pytorch, SGAN, LSTM
This project is for NTUT web crouse final. We combine MDL with Bootstrap as our front-den. Adopted Firebase as DB system, hence the website have login and notice functions.
The project for NTUT database course. We designed a tea transaction website from architecture discussions to ER diagram, from diagrams to front and back-end. We use django as back-end with SQL database.
Technology stack: SQL, django, ER digram, js, html, css
The discord bot contains several NLP functions help users learn language. This project is for NTHU NLP lab crouse final project, finally, we get 2nd place in final competition.
1. prefix, suffix, root search in your input vocabulary
2. vocabulary using frequency search
3. sentence confidence, emotion and subjectivity check
5. daily vocabulary, prefix, root and suffix
Technology stack: discord.js, nodejs, python, linggle, word2vec, gensim, pattern
In this project, we use a XGBoost and Res-regression model to try to handle the milk volume prediction problem, predict milk volume by datasets include cattle information, which is raised by the TPCIIA.
1. Res-regression is better than average and the others traditional model, and get RMSE 5.8.
2. XGB regressor well fit this problem because of the data uncompleted and the small amount, finally get RMSE 5.47.
Technology stack: pytorch, pandas, Res-regrssion, XGBoost