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Daoqi Liu

3 papers hereh-index 210 citations6 works total

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

author position
  • first author1
  • middle author2

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

fields
  • physics.comp-ph2
  • cs.DC1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMulti-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems

6 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

cs.DC2026

Application-Driven Architecture Exploration for Cross-Layer Heterogeneous Systems

Yuchen Fan, Minghong Sun, Jikui Ma +19

AI and HPC infrastructure increasingly serves workload portfolios that combine dense tensor computation, sparse kernels, large memory footprints, and communication-intensive collec…

physics.comp-ph2025

A Differentiable Framework for Full and Phaseless Data Inversion Using Neural Implicit Contrast-Source Representation

Haoran Sun, Daoqi Liu, Hongyu Zhou +3

In this study, we extend the contrast source inversion to a fully differentiable, unsupervised framework based on a neural implicit representation of the contrast source. Specifica…

physics.comp-ph2024★ 6 cited

Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems

Daoqi Liu, Tao Shan, Maokun Li +2

In this work, we propose a deep learning-based imaging method for addressing the multi-frequency electromagnetic (EM) inverse scattering problem (ISP). By combining deep learning t…

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