I'm a Master's student at Zhejiang University, focused on Generative Adversarial Networks (GANs) for video generation in Prof. Zou at 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 GANs and Transformer.
- Machine Learning: Building systems with Transformers, GAN, and Diffusion.
- Computer Vision: Developing models for image super-resolution, segmentation, and image generation.
- Selfie2Anime: A Deep Learning Approach for Image Translation.
- TriAttNet: Triple Attention Mechanism for image super-resolution.
- 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.
- TDGame-War-of-the-Towers: Tower defense game development.
- GeoVis: Advanced tool for geometric visualization and interactive exploration.
- DTW-SVM-X: SVM + Dynamic Time Warping for time-series classification.
- Advanced-OS-Concepts: Study of OS concepts like thread synchronization and distributed systems.
- Phonemon-DB: Database schema for Phonemons using E-R diagrams.
- FPGA-Embedded-Systems: Designing digital circuits and microprocessors with FPGA.
- ICS-Lab: Low-level programming and system vulnerabilities through Bomblab, Buflab, and Linklab experiments.
- E-CommX: Full-stack e-commerce platform development.
- Languages: C/C++, Python, Java, SQL
- Frameworks: PyTorch, TensorFlow, Hugging Face
- Tools: Git, Docker, AWS, Google Cloud
- LinkedIn: linkedin.com/in/anthonyhuang1909
- GitHub: github.com/anthonyhuang19
Feel free to explore my work and collaborate with me on exciting projects! π