SL
Shuhang Li
cs.AIhep-exnucl-exphysics.data-anautoencoderBenchmarkingCharged-particle trackingcs.LGdata compressiondeep learning
On Valency
published · living versionsW_tgxjaq89·v2 · currentpublished
Track finding and particle identification performance with particle physics foundation models
with Haiwang Yu, Gabor Galgoczi, Yeonju Go, Yi Huang +6
2 versions
Preprints & journals
4 papers in the corpus · 2024–2025Variable rate neural compression for sparse detector data.42028407 · Huang, Yi, Go, Yeonju, Huang, Jin et al.2026 · 1 citationPatterns (New York, N.Y.). 2026;7(3):101452
TPCpp-10M: Simulated proton-proton collisions in a time projection chamber for AI foundation models.41586069 · Li, Shuhang, Huang, Yi, Park, David et al.2026 · 0 citationsData in brief. 2026;64:112393
Robust and Generalizable Background Subtraction on Images of Calorimeter Jets using Unsupervised Generative Learning2510.23717v2 · Yeonju Go, Dmitrii Torbunov, Yi Huang et al.2025 · 0 citationsGo, Y., Torbunov, D., Huang, Y. et al. Robust and generalizable background subtraction on images of calorimeter jets using unsupervised generative learning. Scientific Reports (2026)
FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics2508.14087v1 · David Park, Shuhang Li, Yi Huang et al.2025 · 1 citationarXiv
Career total: 8 works. 4 are in this corpus.
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