67 citations · 68 across the 4 of their papers we have counts for
4 papers
A High-Throughput FPGA Accelerator for Lightweight CNNs With Balanced Dataflow
Zhiyuan Zhao, Yihao Chen, Pengcheng Feng +4
FPGA accelerators for lightweight neural convolutional networks (LWCNNs) have recently attracted significant attention. Most existing LWCNN accelerators focus on single-Computing-E…
Point convolutional neural network algorithm for Ising model ground state research based on spring vibration
Zhelong Jiang, Gang Chen, Ruixiu Qiao +8
The ground state search of the Ising model can be used to solve many combinatorial optimization problems. Under the current computer architecture, an Ising ground state search algo…
ACQ: Improving Generative Data-free Quantization Via Attention Correction
Jixing Li, Xiaozhou Guo, Benzhe Dai +5
Data-free quantization aims to achieve model quantization without accessing any authentic sample. It is significant in an application-oriented context involving data privacy. Conve…
Reinforcement learning based parameters adaption method for particle swarm optimization
Yin ShiYuan
Particle swarm optimization (PSO) is a well-known optimization algorithm that shows good performance in solving different optimization problems. However, PSO usually suffers from s…