Qing Li

HippoTune: A Hippocampal Associative Loop–Inspired Fine-Tuning Method for Continual Learning

HiTNet: Hippocampal-Thalamic Inspired Dual-Stream Network for Multimodal Sentiment Analysis under Missing Data

Prospective Learning: Memory-Efficient MLP Training via Brain-Inspired Direct Optimization

Toward Balanced Continual Learning via Fine-Grained Neuronal Intervention Inspired by Memory Consolidation

Bridging Quantitative Optimization and Qualitative Reasoning: LLM-Enhanced Neural Architecture Search with Synergistic Weights

TAR: Token Adaptive Routing Framework for LLMs Token-level Semantic Correction Inspired by Neuro-Linguistic Pathways

BMAS: A Brain-Inspired Multi-Agent System with PFC-Guided Task Coordination and Hippocampus-Neocortex Dual Memory for Scalable Multi-Step Reasoning

Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making

Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning