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20222025
most citedTowards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization

31 citations · 33 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NE2025

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network

Shang Xu, Jiayu Zhang, Ziming Wang +3

In recent years, Recurrent Spiking Neural Networks (RSNNs) have shown promising potential in long-term temporal modeling. Many studies focus on improving neuron models and also int…

cs.NE2024

GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL

Lang Qin, Ziming Wang, Runhao Jiang +2

Spiking neural networks (SNNs) are widely applied in various fields due to their energy-efficient and fast-inference capabilities. Applying SNNs to reinforcement learning (RL) can…

cs.CV2024★ 2 cited

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks

Ziming Wang, Ziling Wang, Huaning Li +4

Event cameras, with their high dynamic range and temporal resolution, are ideally suited for object detection, especially under scenarios with motion blur and challenging lighting…

cs.NE2023

Neuromorphic Auditory Perception by Neural Spiketrum

Huajin Tang, Pengjie Gu, Jayawan Wijekoon +4

Neuromorphic computing holds the promise to achieve the energy efficiency and robust learning performance of biological neural systems. To realize the promised brain-like intellige…

cs.NE2022★ 31 cited

Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization

Ziming Wang, Shuang Lian, Yuhao Zhang +3

Spiking neural networks (SNNs) operating with asynchronous discrete events show higher energy efficiency with sparse computation. A popular approach for implementing deep SNNs is A…