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h30306/README.md
Anurag's github stats

💻 Tech Stack

Python Pytorch JavaScript CSS3 HTML5 MySQL PHP R Django Heroku AWS FastAPI NodeJS TypeScript MongoDBPostgres Docker Kubernetes

🌐 Socials

📑 Publications

  • Wei-Yi Chung, Yen-Nan Ho, Yu-Hsuan Wu, Jheng-Long Wu
  • In 2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)
  • Paper
  • Jheng-Long Wu, Wei-Yi Chung
  • Applied Intelligence, 2022
  • Paper
  • Sheng-Wei Huang, Wei-Yi Chung, Yu-Hsuan Wu, Chen-Chia Yu, and Jheng-Long Wu
  • In Proceedings of the 34rd Conference on Computational Linguistics and Speech Processing, 2022
  • Paper
  • Yu-Hsuan Wu, Sheng-Wei Huang, Wei-Yi Chung, Chen-Chia Yu, and Jheng-Long Wu
  • 2022 IEEE International Conference on Big Data
  • Paper
  • Jheng-Long Wu, Sheng-Wei Huang, Wei-Yi Chung, Yu-Hsuan Wu, Chen-Chia Yu
  • Computational Linguistics and Chinese Language Processing, Vol. 27, No. 2, December 2022
  • Paper

💻 Projects

Parking Spaces Prediction and Dynamic Programming of Taipei city

  • Intro: Using time series model to estimate the remanning parking space to guide the people who is waiting for parking space
  • Language: Python, HTML, CSS, JavaScript
  • Keywords: Machine Learning, Time Series Model, Flask, Dynamic Programming
  • Tool: LSTM, Flask, Pytorch

Hybrid Movie Recommandation System by description and category

  • Intro: Recommend favorite movies based on user input description and favorite movie category
  • Language: Python, HTML, CSS, JavaScript
  • Keywords: Machine Learning, BERT, Flask, NLP, Word2Vec, TF-IDF, Recommandation System
  • Tool: Transformer, Flask, Pytorch

Airbnb New Uesr Booking Prediction

  • Intro: Kaggle competition. Our proposed using Hierarchical XGBoosting model to predict the target country of customer preference
  • Language: Python
  • Keywords: Machine Learning, XGBoost, Statistic
  • Tool: XGBoost

Company Fraud Detection Website (Cooperate with KPMG)

  • Intro: Detection of fraud in four different aspect and visulize in website
  • Language: Python, HTML, CSS, JavaScript
  • Keywords: BERT, Crawler, NLP, Node, Fraud
  • Tool: Selenium, Networkx, Plotly

Data Annotaion System for valence-arousal-irony

  • Intro: PTT Data Annotation system written by php, javascript, html and deploy on Heroku
  • Language: SQL, HTML, CSS, JavaScript, PHP
  • Keywords: Data Annotation, Login, DataBase
  • Tool: Crawler, MySQL, Apache

Gogoro Feasibility Analysis

  • Intro: Gogoro Feasibility Analysis in Taiwan
  • Language: HTML, CSS, JavaScript, CanvasJS
  • Keywords: Website, Analysis, Visulization
  • Tool: HTML, Webhook

🏫 Experience

  • 2022.12 - Software Engineer at ASUS AICS

  • 2020.9 ~ 2022.1 - Research Assistant in NLP Lab(@DS.SCU)

    • Invented a combination model of neural network and statistic method for co-reference resolution. Improved F1-score from 78.3 to 79.2.
    • Built and trained a multi-topic GPT2 model, and improved the model performance by model tuning and spelling corrections handling.
    • Developed a hierarchical attention network (HAN) model to learn the three different aspect of hope, trigger event and arousal from society community post. Improved the F1-score from 0.58 to 0.86 on the prediction of depression.
    • Invented a dynamic MRT station embedding model for passenger flow prediction. Replaced the traditional station embedding model Node2Vec and improved MAE from 1.47 to 0.93, 36% increased.
  • 2019.9 ~ 2020.6 - Data Analysis Intern at Deloitte

    • Completed the deployment of machine learning model on the Django platform for economic indicator trend prediction.
    • Researched the practical application of OCR in financial statements and achieved a digital recognition rate of 86%.
    • Maintained news and social web crawlers, and developed robotic process automation (RPA) programs to handle unstructured data.
  • 2019.7 ~ 2019.8 - Automatic Speech Recognition Intern at Delta Electronics

    • Annotated noise span in recordings and modified the speech recognition models to detection noise.
    • Developed a noise detection deep learning model and deployed on the internal system with Flask. The model is stacked the CNN model with soft-attention mechanism and LSTM as prediction model. Achieved 89% accuracy rate in noise span.
  • 2018.3 ~ 2019.6 - Research Assistant in Information Fusion Lab

    • Developed a micro-expression recognition model to identify readers’ investment styles, and combined recommendation systems to recommend suitable financial articles for readers. Achieved 91% F1-score.
    • Deployed the financial recognition APP on Zenbo robot, combined with personalized dashboard to present financial information exclusive to users. This APP earned Honorable Mention in HNCB Fintechers competitions.
  • 2016.9 ~ 2020.7 - Bachelor student in SCU (@DS.SCU)

Pinned Loading

  1. Learning-Notes Learning-Notes Public

    My learning record, contains my project, competitions, selfstudy and leetcode!

    Jupyter Notebook 2

  2. Annotation_system Annotation_system Public

    PTT Data Annotation system written by php, javascript, html and deploy on Heroku

    PHP

  3. Crawler Crawler Public

    Web Crawler for: PTT, Dcard, Amazon, 桃機網站資料, 露天, 鉅亨網, 台北市開放資料平台 Keep Updating!!

    Jupyter Notebook 4 2

  4. Parking-Spaces-Prediction-and-Dynamic-Programming-of-Taipei-city Parking-Spaces-Prediction-and-Dynamic-Programming-of-Taipei-city Public

    Using time series model to estimate the remanning parking space to guide the people who is waiting for parking space

    CSS 2 1

  5. Kaggle-Airbnb-New-User-Booking Kaggle-Airbnb-New-User-Booking Public

    Kaggle competition. Our proposed using Hierarchical XGBoosting model to predict the target country of customer preference

    Jupyter Notebook

  6. Recommand_Movie_by_description_and_category Recommand_Movie_by_description_and_category Public

    Recommend favorite movies based on user input description and favorite movie category

    Jupyter Notebook