67 citations · 77 across the 5 of their papers we have counts for
5 papers
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…
Deep Template Matching for Offline Handwritten Chinese Character Recognition
Zhiyuan Li, Min Jin, Qi Wu +1
Just like its remarkable achievements in many computer vision tasks, the convolutional neural networks (CNN) provide an end-to-end solution in handwritten Chinese character recogni…
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition
Zhiyuan Li, Nanjun Teng, Min Jin +1
Deep convolutional networks based methods have brought great breakthrough in images classification, which provides an end-to-end solution for handwritten Chinese character recognit…