Lightweight neural network techniques: evolution and prospect from static compression to dynamic computation
Comprehensive Reviews|更新时间:2025-11-25
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Lightweight neural network techniques: evolution and prospect from static compression to dynamic computation
Journal on CommunicationsVol. 46, Issue 10, Pages: 247-271(2025)
作者机构:
1.南京邮电大学江苏省邮政大数据技术与应用工程研究中心,江苏 南京 210003
2.南京邮电大学国家邮政局邮政行业技术研发中心(物联网技术),江苏 南京 210003
作者简介:
基金信息:
The National Natural Science Foundation of China(61972208;62272239);Jiangsu Agriculture Science and Technology Innovation Fund (No.CX(22)1007), Guizhou Provincial Key Technology R&D Program(CX(22)1007)
WANG Enliang,YAN Qingxin,DA Mingtian,et al.Lightweight neural network techniques: evolution and prospect from static compression to dynamic computation[J].Journal on Communications,2025,46(10):247-271.
WANG Enliang,YAN Qingxin,DA Mingtian,et al.Lightweight neural network techniques: evolution and prospect from static compression to dynamic computation[J].Journal on Communications,2025,46(10):247-271. DOI: 10.11959/j.issn.1000-436x.2025157.
Lightweight neural network techniques: evolution and prospect from static compression to dynamic computation