activity
20182025
most citedDetecting and Studying High-Energy Collider Neutrinos with FASER at the LHC

180 citations · 596 across the 15 of their papers we have counts for

collaborators

15 papers

hep-ph2025

Potential of di-Higgs observation via a calibratable jet-free framework

Tianyi Yang, Congqiao Li

We present a calibratable, jet-free framework that enhances the search significance of the flagship LHC channel by more than a factor of five compared to existing appro…

hep-ph2025

Novel extraction method via boosted -tagging with in-situ calibration

Yuzhe Zhao, Congqiao Li, Antonios Agapitos +4

We present a novel method for measuring at the LHC using an advanced boosted-jet tagger to identify " signatures". By associating boosted signals…

hep-ph2024★ 13 cited

Jet Tagging with More-Interaction Particle Transformer

Yifan Wu, Kun Wang, Congqiao Li +2

In this study, we introduce the More-Interaction Particle Transformer (MIParT), a novel deep learning neural network designed for jet tagging. This framework incorporates our own d…

hep-ph2024★ 1 cited

Accelerating Resonance Searches via Signature-Oriented Pre-training

Congqiao Li, Antonios Agapitos, Jovin Drews +9

The search for heavy resonances beyond the Standard Model (BSM) is a key objective at the LHC. While the recent use of advanced deep neural networks for boosted-jet tagging signifi…

hep-ph2022★ 11 cited

Does Lorentz-symmetric design boost network performance in jet physics?

Congqiao Li, Huilin Qu, Sitian Qian +5

In the deep learning era, improving the neural network performance in jet physics is a rewarding task as it directly contributes to more accurate physics measurements at the LHC. R…

hep-ph2022★ 47 cited

Particle Transformer for Jet Tagging

Huilin Qu, Congqiao Li, Sitian Qian

Jet tagging is a critical yet challenging classification task in particle physics. While deep learning has transformed jet tagging and significantly improved performance, the lack…

hep-ph2022★ 121 cited

An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging

Shiqi Gong, Qi Meng, Jue Zhang +6

Deep learning methods have been increasingly adopted to study jets in particle physics. Since symmetry-preserving behavior has been shown to be an important factor for improving th…

hep-ph2021★ 22 cited

Searching for heavy leptoquarks at a muon collider

Sitian Qian, Congqiao Li, Qiang Li +5

The LHCb Collaboration recently gave an update on testing lepton flavour universality with , in which a 3.1 standard deviations from the standard…

hep-ph2021★ 5 cited

Longitudinally polarized ZZ scattering at the Muon Collider

Tianyi Yang, Sitian Qian, Zhe Guan +5

Measuring longitudinally polarized vector boson scattering in, e.g., the ZZ channel is a promising way to investigate the unitarization scheme from the Higgs and possible new physi…

hep-ph2020★ 1 cited

The physics case for an electron-muon collider

Meng Lu, Andrew Michael Levin, Congqiao Li +6

An electron-muon collider with an asymmetric collision profile targeting multi-ab integrated luminosity is proposed. This novel collider, operating at collisions energies of…

hep-ph2020★ 11 cited

Loop-induced production at the LHC: an improved description by matrix-element matching

Congqiao Li, Ying An, Claude Charlot +3

Loop-induced production can be enhanced by the large gluon flux at the LHC, and thus should be taken into account in relevant experimental analyses. We present for the first t…

hep-ex2019★ 180 cited

Detecting and Studying High-Energy Collider Neutrinos with FASER at the LHC

FASER Collaboration, Henso Abreu, Claire Antel +45

Neutrinos are copiously produced at particle colliders, but no collider neutrino has ever been detected. Colliders, and particularly hadron colliders, produce both neutrinos and an…

hep-ph2019★ 4 cited

Search for a generic heavy Higgs at the LHC

Xin Chen, Yue Xu, Yongcheng Wu +6

A generic heavy Higgs has both dim-4 and effective dim-6 interactions with the Standard Model (SM) particles. The former has been the focus of LHC searches in all major Higgs produ…

stat.OT2019★ 12 cited

First digit law from Laplace transform

Mingshu Cong, Congqiao Li, Bo-Qiang Ma

The occurrence of digits 1 through 9 as the leftmost nonzero digit of numbers from real-world sources is distributed unevenly according to an empirical law, known as Benford's law…

hep-ex2018★ 168 cited

Precision Higgs Physics at CEPC

Fenfen An, Yu Bai, Chunhui Chen +68

The discovery of the Higgs boson with its mass around 125 GeV by the ATLAS and CMS Collaborations marked the beginning of a new era in high energy physics. The Higgs boson will be…