Kuang-Ting, Lee

  


  linkedin.com/in/kuang-ting-lee-447174181            gitlab.com/summer51202                                         [email protected]                                         (+886) 983-625-321                                                    

About Me


  • Master of Computer Science
  • 5+ years experience in programming
  • 2+ years experience in research & development of deep learning and computer vision 

Education


  • National Chung Hsing University, Master Degree, Computer Science and Engineering (2019 - 2021) 

  • National Cheng Kung University, Bachelor Degree, Materials Science and Engineering (2013 - 2018)

Projects


  • Re-Implementation of Swin Transformer Object Detection
    • Contributions
      • Illustrated the training pipeline, data flow, and implementation details by golden template of object detection 
      • Implemented the runnable code of Swin transformer object detection on COCO dataset
    • Development tools
      • PyTorch, MMCV, MMDetection
  • Learning Contrastive Features for One-Class Novelty Detection
    • Contributions
      • Proposed a novel data augmentation to clearly isolate features of negative samples
      • Outperformed the detection performance of state-of-the-art methods reported in CVPR, NIPS on MNIST, CIFAR10, CIFAR100 benchmarks over 1~5%
    • Development tools
      • PyTorch, Scikit-learn

Work Experience


  • HMSHost Kennebunk South Travel Plaza (June, 2017 - Sep., 2017)
    • Part-time Employee
    • Work & Travel USA 2017

Publications and Awards


  • 2020 International Computer Symposium (ICS)
    • K. -T. Lee, C. -Y. Chiou and C. -R. Huang, "One-Class Novelty Detection via Sparse Representation with Contrastive Deep Features," 2020 International Computer Symposium (ICS), 2020, pp. 61-66, doi: 10.1109/ICS51289.2020.00022.
  • First Place Award

    • International ICT Innovative Services Awards 2020

    • Few-Shot Self-Supervised Learning for AI-based Automatic Optical Inspection in Industry 4.0 

  • Second Place Award

    • International ICT Innovative Services Awards 2019

    • AI based Traffic Condition Recognition and Visualization in Modern Smart City 

Professional Skills


  • Operating Systems
    • Windows, Linux
  • Programming Languages

    • Python, Java,  C++, C, Matlab, SQL

  • Libraries and Frameworks
    • PyTorch, Tensorflow, Keras, Scikit-learn, OpenCV, MMDetection
  • Development Tools

    • PyCharm, Google Colab, Jupyter, Git

Research Fields


  • Master Thesis
    • Learning Contrastive Features

      for One-Class Novelty Detection

  • Deep Learning
    • Object detection
    • One-class classification
    • Contrastive learning
    • Data augmentation
    • Transformer
  • Machine Learning
    • Dictionary learning

Courses


  • Deep Learning and Its Applications    
    • MLP, CNN, RNN, LSTM
  • Advanced Data Mining and Big Data Analysis 
    • Hadoop, Spark, K-means, Adaboost
  • Database Systems
    • Relational database, SQL
  • Computer Vision
    • Camera calibration, Descriptor, OpenCV
  • Digital Image Processing
    • Panorama, Wavelet image transformation, Morphology, Image restoration and reconstruction
  • Pattern Recognition
    • Bayesian decision theory, Derivation of the Back-Propagation algorithm

Languages


  • English — Advance
    • TOEFL iBT 80
  • Mandarin — Native speaker

Contact Info


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