I'm a Graduate Researcher at Zhejiang University 🎓, specializing in Super-Resolution and Transformers under the guidance of Prof. Zou in the CAD Group Research 🔬. I am deeply passionate about deep learning 🤖, NLP 🧠, and computer vision 👀. My internship experiences at Alibaba 🏢 and J.P. Morgan 💼 helped me develop expertise in backend optimization, AI, and data management 📊.
- AI Research: Exploring advanced techniques in Super-Resolution 🔍, Transformers ⚡, and Generative Adversarial Networks (GANs) 🌀.
- Machine Learning: Developing systems using Transformers 🧑💻, GANs 🤩, and Diffusion Models 💡 for various applications.
- Computer Vision: Working on models for image super-resolution 📸, segmentation ✂️, and image generation 🎨.
- Super-Resolution With Triple Attention: Enhancing image super-resolution 📷 using a Triple Attention Mechanism 👁️👁️👁️ for faster and more accurate results.
- Adapting ESRGAN for Enhanced Super-Resolution: Exploring improvements to the ESRGAN architecture for better super-resolution 🌟 performance.
- GeoVis: An advanced tool for visualizing and interacting with geometric shapes 🔺 and algorithms 🔧 to explore computational geometry 🧮.
- ImageMosaic: Working on image mosaicking 🖼️ and homography estimation 🔄 to generate seamless panoramic images 🌍.
- EdgeSeg: Developing edge detection ✂️ and image segmentation 🧩 algorithms to enhance image understanding 🧠.
- TriAttNet: Creating a Triple Attention Mechanism 🔺 for improving image super-resolution quality across channels, spatial regions, and global dependencies 🌐.
- Languages: Python 🐍, C/C++ 💻, Java ☕, SQL 🗃️
- Frameworks: PyTorch 🔥, TensorFlow 💡, Hugging Face 🤗
- Tools: Git 🦸♂️, Docker 🐳, AWS ☁️, Google Cloud 🌩️
- LinkedIn: linkedin.com/in/anthonyhuang1909 🌐
- GitHub: github.com/anthonyhuang19 🖥️
- Personal Website: anthonyhuang19.github.io 🌍
Feel free to explore my work and collaborate on exciting projects! 🚀🌟