👋 Hi there! I'm currently a BS student at National Cheng Kung University (NCKU), with deep interests spanning several areas in computer science and technology:
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Deep Learning & Computer Vision: I’m particularly fascinated by convolutional neural networks (CNNs), object detection models, and generative adversarial networks (GANs). I love exploring how these techniques can be applied to complex real-world scenarios like autonomous driving, medical imaging, and even artistic generation.
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Algorithm Design: I enjoy tackling problems in graph theory, dynamic programming, and optimization. I’m constantly learning advanced algorithmic techniques to design more efficient and scalable solutions, with a particular focus on computational complexity and data structure optimization.
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Computer Organization & Architecture: I delve into the workings of RISC-V architecture and have a keen interest in CPU pipeline optimization, cache coherence, and parallel processing. I’m intrigued by how hardware design choices impact performance, efficiency, and the software running on top.
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Quantum Programming: I'm excited about the future of quantum computing! I explore quantum algorithms, such as Grover’s and Shor’s algorithms, and experiment with quantum programming languages like Qiskit. My goal is to understand how quantum computing can solve problems that are intractable for classical computers.
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Compiler: I’m captivated by the compiler’s role in translating high-level code into efficient machine code. I have experience with compiler optimization techniques, parsing algorithms, and intermediate representation (IR) generation, and I’m eager to dive deeper into advanced optimizations.