Author

Jing-De Chen

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Preprint Sep 2026

From Hits to Tracks: A BERT-based Tracking Model for Track Reconstruction in Drift Chambers

Track reconstruction in drift chambers is essential for momentum measurement and particle identification at electron-positron colliders. While Transformer architectures have transformed many sequence-processing domains, their application to tracking in high energy physics is still being explored. We present a model tha...

Yi-Pu Liao, Yao Zhang, Jing-De Chen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

ResoSeg: Resonance Tagger using Transformer and Segment Model

Deep learning has been widely applied across many areas of experimental high-energy physics, yet existing models address only event-level classification or object tagging and therefore still require reconstruction algorithms tailored to each decay channel. We present the first application of segmentation to resonance t...

Chun-Kai Li, Jun-Hao Yin, Ke Li et al. · 0 citations