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Yiming Li

4 papers hereh-index 354 citations7 works total

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.DC1
  • cs.NI1
  • cs.SE1
  • eess.SP1
same name
  • Yiming Li — 26 papers, h 24
  • Yiming Li — 23 papers, h 9
  • Yiming Li — 22 papers, h 16
  • Yiming Li — 16 papers, h 17
  • Yiming Li — 15 papers, h 68
  • Yiming Li — 15 papers, h 4

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

activity
20242026
most citedGeo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SE2026

Skilled AI Agents for Embedded and IoT Systems Development

Yiming Li, Yuhan Cheng, Mingchen Ma +6

Large language models (LLMs) and agentic systems have shown promise for automated software development, but applying them to hardware-in-the-loop (HIL) embedded and Internet-of-Thi…

cs.NI2025

DecodeX: Exploring and Benchmarking of LDPC Decoding across CPU, GPU, and ASIC Platforms

Zhenzhou Qi, Yuncheng Yao, Yiming Li +4

Emerging virtualized radio access networks (vRANs) demand flexible and efficient baseband processing across heterogeneous compute substrates. In this paper, we present DecodeX, a u…

cs.DC2025

IoT-MCP: Bridging LLMs and IoT Systems Through Model Context Protocol

Ningyuan Yang, Guanliang Lyu, Mingchen Ma +7

The integration of Large Language Models (LLMs) with Internet-of-Things (IoT) systems faces significant challenges in hardware heterogeneity and control complexity. The Model Conte…

eess.SP2024★ 2 cited

Geo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases

Yiming Li, Zeyu Li, Zhihui Gao +1

Radio frequency (RF) signal mapping, which is the process of analyzing and predicting the RF signal strength and distribution across specific areas, is crucial for cellular network…

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