Qi-Bin Liu

most citedEntanglement and Bell Nonlocality in

τ^{+} τ^{-}

at the LHC using Machine Learning for Neutrino Reconstruction

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

collaborators

3 papers

hep-ex2026

Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision

Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457

Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…

hep-ex2026

EveNet: A Foundation Model for Particle Collision Data Analysis

Ting-Hsiang Hsu, Bai-Hong Zhou, Qibin Liu +8

While deep learning is transforming data analysis in high-energy physics, computational challenges limit its potential. We address these challenges in the context of collider physi…

hep-ph2025★ 3 cited

Entanglement and Bell Nonlocality in $τ^{+} τ^{-}$ at the LHC using Machine Learning for Neutrino Reconstruction

Yulei Zhang, Bai-Hong Zhou, Qi-Bin Liu +5

Experiments at the CERN Large Hadron Collider (LHC) have accumulated an unprecedented amount of data corresponding to a large variety of quantum states. Although searching for new…

Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision

EveNet: A Foundation Model for Particle Collision Data Analysis

Entanglement and Bell Nonlocality in τ+τ− at the LHC using Machine Learning for Neutrino Reconstruction

Entanglement and Bell Nonlocality in $τ^{+} τ^{-}$ at the LHC using Machine Learning for Neutrino Reconstruction