I'm a Graduate Researcher at Zhejiang University, focused on Super-Resolution and Transformers in Prof. Zou's CAD Group Research. Iβm passionate about deep learning, NLP, and computer vision. With internship experience at Alibaba and J.P. Morgan, I've honed my skills in backend optimization, AI, and data management.
- AI Research: Exploring Super-Resolution, Transformers, and Generative Adversarial Networks (GANs).
- Machine Learning: Building systems with Transformers, GANs, and Diffusion Models.
- Computer Vision: Developing models for image super-resolution, segmentation, and image generation.
- Panorama-Stitching: Panorama creation via feature detection and homography estimation.
- TriAttNet: Triple Attention Mechanism for image super-resolution.
- Selfie2Anime: Deep Learning Approach for image translation.
- ImageMosaic: Image mosaicking and homography estimation.
- EdgeSeg: Edge detection & image segmentation.
- HybridFilter: Hybrid image generation and advanced image filtering techniques.
- RetailDB: SQL database for scalable e-commerce applications.
- DTW-SVM-X: SVM + Dynamic Time Warping for time-series classification.
- Advanced-OS-Concepts: Study of OS concepts like thread synchronization and distributed systems.
- FPGA-Embedded-Systems: Designing digital circuits and microprocessors with FPGA.
- E-CommX: Full-stack e-commerce platform development.
- 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 Web: anthonyhuang19.github.io
Feel free to explore my work and collaborate with me on exciting projects! π