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Zhiyi Li

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.SP1
  • eess.SY1
  • math.OC1
ORCID 0000-0001-7498-8005
same name
  • Zhiyi Li — 3 papers
  • Zhiyi Li — 2 papers
  • Zhiyi Li — 1 paper
  • Zhiyi Li — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedEnhancing Energy Efficiency for Reconfigurable Intelligent Surfaces with Practical Power Models

5 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

math.OC2024

Quantum Assisted Stochastic Economic Dispatch for Renewables Rich Power Systems

Xutao Han, Zhiyi Li, Yue Xu

Considering widely dispersed uncertain renewable energy sources (RESs), scenario-based stochastic optimization is an effective method for the economic dispatch of renewables-rich p…

eess.SY2024

Ensuring Disturbance Rejection Performance by Synthesizing Grid-Following and Grid-Forming Inverters in Power Systems

Fuyilong Ma, Huanhai Xin, Zhiyi Li +1

To satisfy dynamic requirements of power systems, it is imperative for grid-tied inverters to ensure good disturbance rejection performance (DRP) under variable grid conditions. Th…

eess.SP2023★ 5 cited

Enhancing Energy Efficiency for Reconfigurable Intelligent Surfaces with Practical Power Models

Zhiyi Li, Jida Zhang, Jieao Zhu +2

Reconfigurable intelligent surfaces (RISs) are widely considered a promising technology for future wireless communication systems. As an important indicator of RIS-assisted communi…

cs.LG2023

PopSparse: Accelerated block sparse matrix multiplication on IPU

Zhiyi Li, Douglas Orr, Valeriu Ohan +5

Reducing the computational cost of running large scale neural networks using sparsity has attracted great attention in the deep learning community. While much success has been achi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.