Robust Machine Learning. Generalisable and Transparent Deep Learning. Synthetic Biology. Computer Vision.
in Talks
An invited research sharing at Wellcome Sanger Institute.
Multi-domain alignment, LLMs, and generative AI (text-to-image).
Key advances in multi-domain alignment, LLMs, and generative AI:
in Talks
An invited talk at Synteny AI https://www.synteny.ai/
Dr. (Amos) Xinshao Wang: Data + Modelling.
in Talks
Dr. (Amos) Xinshao Wang: Data + Modelling
Summary of research backgrounds, interest, projects.
in Talks
Dr. (Amos) Xinshao Wang: Data + Modelling
Summary of research backgrounds, interest, projects.
in Blogs
in Talks
Research seminar on Deep Critical Learning (i.e., Deep Robustness): Example weighting and label correction.
in Talks
Research seminar on Robust Deep Learning: Understanding real-world data and data-centric AI.
in Projects
Summary of research progress on Synthetic Biology powered by Deep Learning.
in Blogs
In general, robust deep learning covers: missing labels (semisupervised learning); noisy labels (noise detection and correction); regularisation techniques; sample imbalance (long-tailed class distribution); adversarial learning; and so on.