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Liang Li

4 papers hereh-index 15 citations4 works total

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

author position
  • middle author1
  • last author3

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

fields
  • hep-ex3
  • hep-ph1
same name
  • Liang Li — 19 papers, h 28
  • Liang Li — 17 papers, h 57
  • Liang Li — 14 papers, h 6
  • Liang Li — 13 papers
  • Liang Li — 10 papers, h 5
  • Liang Li — 9 papers, h 14

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 citedApplication of Graph Neural Networks in Dark Photon Search with Visible Decays at Future Beam Dump Experiment

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

collaborators

4 papers

hep-ex2026

Low-energy Muon-Nucleon scattering experiment: LUNE (White Paper)

Chenlei An, Dong Bai, Ziyu Bai +70

The HIAF will provide high-intensity, high-quality muon beams with momenta from 0.5 to 7.5 GeV/c. This energy range is uniquely suited for precision muon scattering, bridging the g…

hep-ph2026

DREAMuS: Dark matter REsearch with Advanced Muon Source

Xiang Chen, Zejia Lu, Liangwen Chen +13

We propose DREAMuS, a fixed-target experiment at the High Intensity Heavy-Ion Accelerator Facility (HIAF), to search for muon-philic dark matter mediated by light flavor-violating…

hep-ex2024★ 1 cited

Application of Graph Neural Networks in Dark Photon Search with Visible Decays at Future Beam Dump Experiment

Zejia Lu, Xiang Chen, Jiahui Wu +2

Beam dump experiments provide a distinctive opportunity to search for dark photons, which are compelling candidates for dark matter with low mass. In this study, we propose the app…

hep-ex2024

Search for Long-lived Particles at Future Lepton Colliders Using Deep Learning Techniques

Yulei Zhang, Cen Mo, Xiang Chen +4

Long-lived particles (LLPs) provide an unambiguous signal for physics beyond the Standard Model (BSM). They have a distinct detector signature, with decay lengths corresponding to…

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