Zhenan Fan
Scholar

Zhenan Fan

Google Scholar ID: un31cHUAAAAJ
Staff Researcher at Huawei Technologies Canada
OptimizationLarge Language Model
Citations & Impact
All-time
Citations
295
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
33
list available
Resume (English only)
Background
  • Currently a Staff Research Engineer at the Huawei Vancouver Research Center, focusing on optimizing large language model (LLM) inference and deployment on Huawei’s CloudMatrix SuperPod. Recent work centers on scaling LLM serving for SuperPod-scale infrastructure, addressing challenges when running mixture-of-experts (MoE) models such as DeepSeek, Kimi, and Qwen on hundreds of interconnected NPUs. Previously, contributed to the design and development of OptVerse, Huawei’s in-house large-scale optimization solver, with a focus on algorithmic innovations and system-level integration for real-world optimization tasks in the cloud.
Miscellany
  • No specific mentions