Electrical Engineering graduate student at National Taiwan Normal University with a strong background in deep learning, computer vision, and embedded systems. Currently conducting research on deep learning in computer vision at the Media and AI Lab.
- 🧠 Researching deep learning model compression techniques
- 💻 AI Research and Design at PRIMAX Technology Inc.
- Computer Vision & Image Processing
- Deep Learning & Neural Networks
- Hardware-Software Co-design
- Embedded Systems & FPGA
- Languages: C, C++, Python, Verilog
- Deep Learning: Model compression, GANs, Transformers, Image super-resolution
- Hardware: Embedded systems, FPGA, High-Level Synthesis, SystemC
- Software: Computer Vision, Image Processing, Linux, Data Science
- AnimeTransGAN: Animation image super-resolution transformer via deep generative adversarial network (IEEE GCCE 2023)
- Animation image super-resolution transformer based on deep generative adversarial networks (Journal of Imaging and Recognition, 2023)
- E.SUN Bank Artificial Intelligence Open Challenge - Top 10% (2022)
- Collegiate Programming Examination, Professional Level - Ranked 69th out of 2,369 Participants (2020)
- National Informatics Olympiad Promotional Competition - 5th Place (2019)
- SOTA Image restoration models design
- Advanced model optimization techniques
- Hardware acceleration for deep learning models
💡 "Combining deep learning expertise with hardware knowledge to build efficient AI systems."