Li Lun

Orcid: 0009-0000-1780-1646

According to our database1, Li Lun authored at least 9 papers between 2023 and 2025.

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Bibliography

2025
HyNITA: A Neuromorphic Inference and Training Accelerator for Hybrid ANN-SNN Fusion Models.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

A Reconfigurable Digital Compute-In-Memory Heterogeneous Macro for Differential Frame Convolution and Spiking Neural Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

CROSSCUT: A Multi-Core Neuromorphic Accelerator Improving Resource-Utilization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
NeuroREC: A 28-nm Efficient Neuromorphic Processor for Radar Emitter Classification.
IEEE Trans. Circuits Syst. I Regul. Pap., December, 2024

A 16.41 TOPS/W CNN Accelerator with Event-Based Layer Fusion for Real-Time Inference.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

SPAT: FPGA-based Sparsity-Optimized Spiking Neural Network Training Accelerator with Temporal Parallel Dataflow.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

An Efficient Spiking Convolutional Architecture with Compressed Address Event Representation and Adaptive Delay Asynchronous Clocks.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

2023
LRTransDet: A Real-Time SAR Ship-Detection Network with Lightweight ViT and Multi-Scale Feature Fusion.
Remote. Sens., November, 2023


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