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Huawei Li

40 papers hereh-index 8205 citations73 works total

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

author position
  • middle author11
  • last author28

Across the 39 of 40 papers where every author was matched, so the position is known.

fields
  • cs.AR30
  • cs.LG4
  • cs.AI3
  • cs.CC1
  • cs.CR1
  • cs.SE1
same name
  • Huawei Li — 28 papers, h 29
  • Huawei Li — 3 papers, h 0

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
20232026
most citediEDA: An Open-Source Intelligent Physical Implementation Toolkit and Library

5 citations · 9 across the 38 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.AR2023

MEC: An Open-source Fine-grained Mapping Equivalence Checking Tool for FPGA

Liwei Ni, Zonglin Yang, Jiaxi Zhang +6

Technology mapping is an essential step in EDA flow. However, the function of the circuit may be changed after technology mapping, and equivalence checking (EC) based verification…

cs.LG2023

Fast Exact NPN Classification with Influence-aided Canonical Form

Yonghe Zhang, Liwei Ni, Jiaxi Zhang +3

NPN classification has many applications in the synthesis and verification of digital circuits. The canonical-form-based method is the most common approach, designing a canonical f…

cs.AR2023★ 5 cited

iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Library

Xingquan Li, Simin Tao, Zengrong Huang +53

Open-source EDA shows promising potential in unleashing EDA innovation and lowering the cost of chip design. This paper presents an open-source EDA project, iEDA, aiming for buildi…

cs.CC2023

Rethinking NPN Classification from Face and Point Characteristics of Boolean Functions

Jiaxi Zhang, Shenggen Zheng, Liwei Ni +2

NPN classification is an essential problem in the design and verification of digital circuits. Most existing works explored variable symmetries and cofactor signatures to develop t…

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