1 citations · 1 across the 2 of their papers we have counts for
3 papers
hep-ex2026
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters
Cheng Jiang, Sitian Qian, Kevin Pedro +3
High-precision calorimeter simulation at current and future colliders imposes rapidly growing computational demands, motivating the development of machine-learning surrogates for t…
quant-ph2026
Distilling the knowledge with quantum neural networks
Yuxuan Yan, Sitian Qian, Qi Zhao +1
Quantum Neural Networks (QNNs) are a promising class of quantum machine learning models with potential quantum advantages when implemented on scalable, error-corrected quantum comp…
cs.LG2025★ 1 cited
Application of Structured State Space Models to High energy physics with locality-sensitive hashing
Cheng Jiang, Sitian Qian
Modern high-energy physics (HEP) experiments are increasingly challenged by the vast size and complexity of their datasets, particularly regarding large-scale point cloud processin…