
Wyatt’s research direction concerns the data limitation and fine-tuning gap in the machine learning field. Due to the high cost and time consumption of human annotation, there is always a gap for researchers to acquire enough high-quality data under real-world scenarios. He is researching Transfer learning and Self-supervised learning technologies to find more possible ideas and solutions.