Di Yu
2 papers · Latest:
Neural & Evolutionary Computing
Frequency Matching in Spiking Neural Networks for mmWave Sensing
This paper introduces frequency matching in SNNs for mmWave sensing, improving accuracy and energy efficiency by aligning LIF dynamics with signal frequencies.
2605.09983
Neural & Evolutionary ComputingShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization
ShiftLIF is a new multi-level spiking neuron that uses power-of-two quantization for efficient, high-accuracy SNNs in edge sensing.
2605.01866
📬 Weekly AI Paper Digest
Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.