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Physics & X-Ray Science Computing

Xiangyang Ju

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Xiangyang Ju
Computer Software Engineer
Phone: 510-486-4156
Mobile: 609-591-7705
Web: https://www.physics.lbl.gov/directory/staff-members/ju-xiangyang/

Biographical Sketch

Xiangyang Ju is a Computing System Engineer, working on Deep Learning methods for High Energy Physics problems and ATLAS core software. His activities include: exascale machine learning for particle physics tracking with the Exa.TrkX project, research on generative models, and GPU-accelerated inference frameworks. He obtained his Ph.D. degree from the University of Wisconsin-Madison in 2018 with a thesis titled "Observation of the Standard Model Higgs boson and search for an additional scalar in the four-lepton final state with the ATLAS detector".

Others

Chun-Yi Wang, others, Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline, 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing, 2022,

Alina Lazar, others, Accelerating the Inference of the Exa.TrkX Pipeline, 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing, 2022,

Xiangyang Ju, others, Performance of a geometric deep learning pipeline for HL-LHC particle tracking, Eur. Phys. J. C, Pages: 876 2021, doi: 10.1140/epjc/s10052-021-09675-8

Xiangyang Ju, others, Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors, 33rd Annual Conference on Neural Information Processing Systems, 2020,

Last edited: 02/07/2023
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