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Research & Development Engineer @三竹資訊股份有限公司2023 ~ Hiện tại
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AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Trong vòng một tháng
Studio/DVC/MLflow Developed training templates. AI-SaaS Implemented NLU tasks using BERT-based models to provide functions such as named entity recognition, entity relation extraction, and article classification . Implemented NLG tasks using T5 to provide article summarization functionality. NetProbe - DPI Use 1D-CNN and MLP models for encrypted network traffic identification . Use the Autoencoder model for unknown packet detection . Taiwan Ministry of the Interior Investigation Bureau Police Station - AI Crime Investigation Trace Analysis System: Use BERT-based models to provide more comprehensive association analysis results by identifying named entities and extracting entity
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國立中央大學 National Central University
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資訊工程
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培训项目经理 @Hytera
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人力方案 基于对业务的理解，开展业务调研，制定业务人力相关方案与策略，包括干部管理、员工沟通，激励机制等方案。 启航MLP训练营 针对公司部长级的管理干部量身定制的混合式学习项目，在项目中负责项目调研、设计、实施等工作任务。 班组长
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广东药学院
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Trường học
National Chung Hsing University
Chuyên ngành
Computer Science and Engineering
李光庭 / Edward Lee
AI / Software Engineer
linkedin.com/in/kuang-ting-lee-447174181 gitlab.com/summer51202 [email protected] (+886) 983-625-321
About Me
- A proactive software engineer with specialized skills in AI and machine learning
- 4+ years experience in research & development of artificial intelligence (AI)
- Master of Computer Science
Work Experience
- Junior Engineer - ASUS (March, 2022 - Now)
- Refactored the legacy code of the tool which achieving a 60% reduction in code volume and improving the readibility of the program logic
- Optimized feature matching processes in the intelligent checkout system by caching techniques that halved the system's resident memory usage
- Maintained the AISVision Verifier and resolved bugs for user experience
- Developed C# APIs of Anomaly detection and Classification models for the customer demo tool
- Conducted research on 3D surface reconstruction and proposed a novel framewrok for two patent submissions
- Conducted research and re-implementation of YOLOv8 in TensorFlow 2.0
- Part-time Employee - HMSHost Kennebunk South Travel Plaza (June, 2017 - Sep., 2017)
- Work & Travel USA 2017
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)
Patents
智慧倉儲空間最佳化輔助系統
基於Transformer架構的三維表面重建方法
Publications
2023 IEEE Transactions on Image Processing
- C.-Y. Chiou, K.-T. Lee, C.-R. Huang and P.-C. Chung, "ADMM-SRNet: Alternating Direction Method of Multipliers based Sparse Representation Network for One-Class Classification," IEEE Transactions on Image Processing, vol. 32, pp. 2843-2856, 2023, doi: 10.1109/TIP.2023.3274488.
2020 International Computer Symposium
- 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.
Awards
AI CUP 2023 教育部全國大專院校人工智慧競賽 教電腦看羽球競賽 - TOP 25%
2022 Intel DevCup - Excellent Work Award
- 數位孿生空間管理系統
International ICT Innovative Services Awards 2020 - First Place Award
- Few-Shot Self-Supervised Learning for AI-based Automatic Optical Inspection in Industry 4.0
- Few-Shot Self-Supervised Learning for AI-based Automatic Optical Inspection in Industry 4.0
International ICT Innovative Services Awards 2019 - Second Place Award
AI based Traffic Condition Recognition and Visualization in Modern Smart City
Professional Skills
- Programming Languages
Python, C#, C++, C
- Deep Learning Frameworks
- PyTorch, Tensorflow, Keras
Development Tools
Git, Jenkins, Mantis
Languages
- English — Advanced
- TOEFL iBT 80
- Mandarin — Native speaker
李光庭 / Edward Lee
AI / Software Engineer
linkedin.com/in/kuang-ting-lee-447174181 gitlab.com/summer51202 [email protected] (+886) 983-625-321
About Me
- A proactive software engineer with specialized skills in AI and machine learning
- 4+ years experience in research & development of artificial intelligence (AI)
- Master of Computer Science
Work Experience
- Junior Engineer - ASUS (March, 2022 - Now)
- Refactored the legacy code of the tool which achieving a 60% reduction in code volume and improving the readibility of the program logic
- Optimized feature matching processes in the intelligent checkout system by caching techniques that halved the system's resident memory usage
- Maintained the AISVision Verifier and resolved bugs for user experience
- Developed C# APIs of Anomaly detection and Classification models for the customer demo tool
- Conducted research on 3D surface reconstruction and proposed a novel framewrok for two patent submissions
- Conducted research and re-implementation of YOLOv8 in TensorFlow 2.0
- Part-time Employee - HMSHost Kennebunk South Travel Plaza (June, 2017 - Sep., 2017)
- Work & Travel USA 2017
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)
Patents
智慧倉儲空間最佳化輔助系統
基於Transformer架構的三維表面重建方法
Publications
2023 IEEE Transactions on Image Processing
- C.-Y. Chiou, K.-T. Lee, C.-R. Huang and P.-C. Chung, "ADMM-SRNet: Alternating Direction Method of Multipliers based Sparse Representation Network for One-Class Classification," IEEE Transactions on Image Processing, vol. 32, pp. 2843-2856, 2023, doi: 10.1109/TIP.2023.3274488.
2020 International Computer Symposium
- 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.
Awards
AI CUP 2023 教育部全國大專院校人工智慧競賽 教電腦看羽球競賽 - TOP 25%
2022 Intel DevCup - Excellent Work Award
- 數位孿生空間管理系統
International ICT Innovative Services Awards 2020 - First Place Award
- Few-Shot Self-Supervised Learning for AI-based Automatic Optical Inspection in Industry 4.0
- Few-Shot Self-Supervised Learning for AI-based Automatic Optical Inspection in Industry 4.0
International ICT Innovative Services Awards 2019 - Second Place Award
AI based Traffic Condition Recognition and Visualization in Modern Smart City
Professional Skills
- Programming Languages
Python, C#, C++, C
- Deep Learning Frameworks
- PyTorch, Tensorflow, Keras
Development Tools
Git, Jenkins, Mantis
Languages
- English — Advanced
- TOEFL iBT 80
- Mandarin — Native speaker