With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Continues my MS project lied at the intersection of zero-sum optimal control, game-theoretic multi-agent systems, and model-free quadratic Q-learning, with a focus on disturbance-aware ...

Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...