Kuang-Ting, Lee

About Me

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

National Chung Hsing University, Master Degree, Computer Science and Engineering (2019 - 2021)
National Cheng Kung University, Bachelor Degree, Materials Science and Engineering (2013 - 2018)

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

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

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

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

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

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