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machine-learning's Introduction

Hi, welcome to my GitHub! You may check out my work here!

News: One paper (FedLGT) accepted by AAAI 2024

๐Ÿ’ฌ Introduction

Currently, Iโ€™m a graduate student pursuing my M.S. degree in the Communication Engineering Dept at NTU. I'm advised by Yuโ€‘Chiang Frank Wang at Vision and Learning Lab. My research primarily revolves around multiple CV domains, including but not limited to Federated Learning, 3D generation, Self-supervised Learning, Transfer Learning, Vision & Language, etc. Through my dedication and continuous exploration, I aim to contribute to the advancement of Computer Vision while expanding my knowledge and expertise in this exciting field. Also, I'm skilled at developing problem-solving methods for different challenging tasks, and learning new technologies and tools if demands arise.

Previously, I was an intern at Synopsys (until Jun.2022), developing and studying AI compilers and AI accelerators. I have completed my B.S. degree at NTHU, majoring in Electrical Engineering (EE) with an undergraduate project in Computer Vision as advised by Min-Sun.

๐Ÿ† Experience & honors

๐Ÿ”ง Tool & Skills

  • PyTorch, TensorFlow
  • C/C++, Python, Matlab, Verilog
  • VSCode/Linux/Docker/Version Control (Git)
  • AI compilers related: ONNX, TVM, GLOW, etc.

๐Ÿ”— Contact me




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