Menghua Zheng — accepted AI-conference papers

2025

Efficient Spiking Point Mamba for Point Cloud Analysis

Peixi Wu, Bosong Chai, Menghua Zheng, Wei Li, Zhangchi Hu, Jie Chen +3

ICCV 2025poster

Bio-inspired Spiking Neural Networks (SNNs) provide an energy-efficient way to extract 3D spatio-temporal features. However, existing 3D SNNs have struggled with long-range dependencies until the recent emergence of Mamba, which offers superior computational efficiency and sequence modeling capabili…

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2025

Spiking Point Transformer for Point Cloud Classification

Peixi Wu, Bosong Chai, Hebei Li, Menghua Zheng, Yansong Peng, Zeyu Wang +3

AAAI 2025technical

Spiking Neural Networks (SNNs) offer an attractive and energy-efficient alternative to conventional Artificial Neural Networks (ANNs) due to their sparse binary activation. When SNN meets Transformer, it shows great potential in 2D image processing. However, their application for 3D point cloud rem…

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