影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
-/100
发表论文6 篇
平均评分
年均产出2.0 篇/年
Qinghai Guo
研究方向
machine learning · deep learning · neuromorphic computing · computational neuroscience · probability theory and random process · mathematical statistics · computational statistics
23
Breaking Information Impedance in Deep Spiking Neural Networks via Multi-Stage Foundation-Model Distillation
ICLR 2026Rejected
三作23
Zeroth-Order Forward-Only SNN Training Inspiring Neuromorphic On-Chip Learning
ICLR 2026Rejected
三作27
SpikingLLM: A Conversion-Based Method with Window Inhibition Mechanism for Spiking Large Language Models
ICLR 2026Rejected