I am interested in brain-inspired spiking neural networks, brain development-inspired structural plasticity of neural networks. My research aims to explore the developmental mechanisms of the brain and introduce them into biologically interpretable spiking neural networks and traditional artificial neural networks, exploring new contributions of brain developmental mechanisms in the field of artificial intelligence.

My current research interests focus on the following directions:

• Brain-inspired Cognitive Computation Models.
• Brain-inspired Neural Networks.
• Development-inspired neural network compression models.
• Development-inspired structure plasticity models.

The goal of my research on brain-inspired intelligence is to enable artificial neural networks to have the ability to learn efficiently and develop adaptively like babies.