LRTransDet: A Real-Time SAR Ship-Detection Network with Lightweight ViT and Multi-Scale Feature Fusion. - Kunyu Feng; Li Lun; Xiaofeng Wang; Xiaoxin Cui (Remote. Sens., 2023)

An Efficient Spiking Convolutional Architecture with Compressed Address Event Representation and Adaptive Delay Asynchronous Clocks. - Zhenhui Dai; Li Lun; Zilin Wang; Jiawei Wang; Kunyu Feng; Yuan Wang 001; Dunshan Yu; Xiaoxin Cui (BioCAS, 2024)

SPAT: FPGA-based Sparsity-Optimized Spiking Neural Network Training Accelerator with Temporal Parallel Dataflow. - Yuanyuan Jiang; Li Lun; Jiawei Wang; Mingqi Yin; Hanqing Liu; Zhenhui Dai; Xiaole Cui; Xiaoxin Cui (ISCAS, 2024)

A 16.41 TOPS/W CNN Accelerator with Event-Based Layer Fusion for Real-Time Inference. - Jiawei Wang; Li Lun; Zhenhui Dai; Yuanyuan Jiang; Xiaoxin Cui (ISCAS, 2024)

NeuroREC: A 28-nm Efficient Neuromorphic Processor for Radar Emitter Classification. - Zilin Wang; Zehong Ou; Yi Zhong; Youming Yang 002; Li Lun; Hufei Li; Jian Cao 002; Xiaoxin Cui; Song Jia; Yuan Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients. - Li Lun; Kunyu Feng; Qinglong Ni; Ling Liang; Yuan Wang 001; Ying Li 056; Dunshan Yu; Xiaoxin Cui (CVPR, 2025)

CROSSCUT: A Multi-Core Neuromorphic Accelerator Improving Resource-Utilization. - Youming Yang 002; Yi Zhong; Zilin Wang; Tao Zhang; Li Lun; Yingying Cui; Xiaoxin Cui; Song Jia; Yuan Wang 001 (ISCAS, 2025)

A Reconfigurable Digital Compute-In-Memory Heterogeneous Macro for Differential Frame Convolution and Spiking Neural Network. - Cheng Zhao; Li Lun; Zhenhui Dai; Haozhe Chen; Yingying Cui; Xiaoxin Cui (ISCAS, 2025)

HyNITA: A Neuromorphic Inference and Training Accelerator for Hybrid ANN-SNN Fusion Models. - Yi Zhong; Li Lun; Zilin Wang; Jinhao Ruan; Yipeng Gao; Xiaoxin Cui; Xing Zhang 002; Yuan Wang 001 (ISCAS, 2025)