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institution

ZTE (China)

China

33 papers here691 citations across 33
fields
  • cs.IT16
  • eess.SP7
  • cs.CL2
  • cs.NI2
  • cs.CV1
  • cs.DC1
  • cs.LG1
  • cs.NE1
ROR 00rjhhq63OpenAlex

affiliations via OpenAlex

output
20192026
most cited6G Enabled Advanced Transportation Systems

119 citations

researchers with a paper here
  • Ruiqi Liu3 profiles5 · h 13
  • Yajun Zhao2 profiles4 · h 10
  • Bin Cui3 profiles3 · h 13
  • Chao-Kai Wen3 · h 55
  • Jie Yang3 profiles3 · h 88
  • Liujun Hu2 profiles3 · h 6
  • Qingqing Wu2 profiles3 · h 77
  • Shi Jin2 profiles3 · h 82
  • Shuqiang Xia3 · h 9
  • Yihua Ma3 · h 9
  • Yijian Chen2 profiles3 · h 14
  • Zhifeng Yuan3 · h 11
collaborating institutions
  • State Key Laboratory of Mobile Networks and Mobile Multimedia Technology12 papers
  • Southeast UniversityCN9 papers
  • China Mobile (China)CN7 papers
  • Beijing Institute of TechnologyCN5 papers
  • Shanghai Jiao Tong UniversityCN5 papers
  • Beijing Jiaotong UniversityCN3 papers
  • Beijing University of Posts and TelecommunicationsCN3 papers
  • National Sun Yat-sen UniversityTW3 papers
  • Peking UniversityCN3 papers
  • Tsinghua UniversityCN3 papers
  • Imperial College LondonGB2 papers
  • Jiangsu UniversityCN2 papers
Showing 2026 · cs.DCShow all

1 paper · 2 filters

cs.DC2026

LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts Training

Xinyi Liu, Yujie Wang, Fangcheng Fu +4

Expert parallelism is vital for effectively training Mixture-of-Experts (MoE) models, enabling different devices to host distinct experts, with each device processing different inp…

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