227 citations · 948 across the 28 of their papers we have counts for
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physics.data-an2026
Learning transferable event representations for charmed baryon physics at BESIII
Kaixuan Huang, Yangu Li, Junpeng Zhao +6
Deep learning has become an essential tool in high-energy physics, where the ability to learn transferable event representations can significantly improve model generalization acro…
physics.ins-det2026
Conceptual Design of a Novel Highly Granular Crystal Electromagnetic Calorimeter for Future Higgs Factories
Baohua Qi, Fangyi Guo, Shu Li +9
Next-generation high-energy electron-positron colliders, operating as Higgs factories, require an unprecedented jet energy resolution for precision measurements of Higgs and Z/W bo…
physics.ins-det2026
A novel perspective on crystal electromagnetic calorimeter design for the CEPC
Weizheng Song, Yang Zhang, Shengsen Sun +9
Crystal electromagnetic calorimeters (ECALs) are essential for high-precision measurements of electrons and photons in particle physics experiments. However, the conventional desig…