Qingyan Meng
2 papers · Latest:
Neural & Evolutionary Computing
Adaptive Spiking Neurons for Vision and Language Modeling
Introduces Adaptive Spiking Neurons (ASN/NASN) for efficient, high-performance SNNs across diverse vision and language tasks.
2604.12365
Neural & Evolutionary ComputingWinner-Take-All Spiking Transformer for Language Modeling
This paper introduces Winner-Take-All Spiking Transformers (WTA-ST) for energy-efficient language modeling, replacing costly softmax with novel spike-driven attention.
2604.11321
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