Innovative Solutions for Data Learning

We systematically review cutting-edge research on data stream learning, focusing on knowledge accumulation and forgetting control to enhance theoretical foundations and practical applications in real-world scenarios.

A flowing stream moves over a collection of dark, smooth stones. The motion of the water creates a blurred effect, highlighting the movement of the current. Surrounding the stream are patches of green grass and some trees in the background.
A flowing stream moves over a collection of dark, smooth stones. The motion of the water creates a blurred effect, highlighting the movement of the current. Surrounding the stream are patches of green grass and some trees in the background.
Our Research Focus
Advanced Algorithm Development

Our team proposes new algorithms for knowledge accumulation and forgetting control, implementing optimization techniques using GPT-4 fine-tuning to validate performance on various data stream datasets.