News: One paper (FedLGT) accepted by AAAI 2024
Currently, I’m a graduate student pursuing my M.S. degree in the Communication Engineering Dept at NTU. I'm advised by Yu‑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.
- Graduate student of NTU GICE VLLab (Advisor: Prof. Yu‑Chiang Frank Wang)
- Internship in Solution Group (SG) at Synopsys
- Front-end compiler/IR about Tensorflow, ONNX
- 1st PLACE in MeiChu Hackathon Competition 2020
- Undergraduate student (2020) of NTHU EE VSLab (Instructor: Prof. Min Sun)
- Electrical Engineering and Computer Science Scholarship (High Distinction Award), NTHU
- PyTorch, TensorFlow
- C/C++, Python, Matlab, Verilog
- VSCode/Linux/Docker/Version Control (Git)
- AI compilers related: ONNX, TVM, GLOW, etc.