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Lei He

4 papers here

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

author position
  • last author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.AR1
  • cs.CV1
  • cs.LG1
same name
  • Lei He — 16 papers
  • Lei He — 11 papers, h 9
  • Lei He — 9 papers, h 60
  • Lei He — 7 papers
  • Lei He — 7 papers
  • Lei He — 6 papers

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 citedAMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AR2025

Automated SAR ADC Sizing Using Analytical Equations

Zhongyi Li, Zhuofu Tao, Yanze Zhou +4

Conventional analog and mixed-signal (AMS) circuit designs heavily rely on manual effort, which is time-consuming and labor-intensive. This paper presents a fully automated design…

cs.CV2025

AMSnet 2.0: A Large AMS Database with AI Segmentation for Net Detection

Yichen Shi, Zhuofu Tao, Yuhao Gao +5

Current multimodal large language models (MLLMs) struggle to understand circuit schematics due to their limited recognition capabilities. This could be attributed to the lack of hi…

cs.LG2025

AMSbench: A Comprehensive Benchmark for Evaluating MLLM Capabilities in AMS Circuits

Yichen Shi, Ze Zhang, Hongyang Wang +10

Analog/Mixed-Signal (AMS) circuits play a critical role in the integrated circuit (IC) industry. However, automating Analog/Mixed-Signal (AMS) circuit design has remained a longsta…

cs.AI2024★ 1 cited

AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG

Yichen Shi, Zhuofu Tao, Yuhao Gao +9

High-performance analog and mixed-signal (AMS) circuits are mainly full-custom designed, which is time-consuming and labor-intensive. A significant portion of the effort is experie…

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