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JU, Xiangyang
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1

An Application of HEP Track Seeding to Astrophysical Data:

Gökçen, Mine ; Garcia-Sciveres, Maurice ; Ju, Xiangyang
http://arxiv.org/abs/2401.06011.  , 2024
Link: http://arxiv.org/abs/240..
 
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2

Fitting a Deep Generative Hadronization Model:

Chan, Jay ; Ju, Xiangyang ; Kania, Adam...
http://arxiv.org/abs/2305.17169.  , 2023
Link: http://arxiv.org/abs/230..
 
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3

Generative Machine Learning for Detector Response Modeling ..:

Xu, Allison ; Han, Shuo ; Ju, Xiangyang.
http://arxiv.org/abs/2303.10148.  , 2023
Link: http://arxiv.org/abs/230..
 
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4

Parton Labeling without Matching: Unveiling Emergent Labell..:

Qiu, Shikai ; Han, Shuo ; Ju, Xiangyang..
http://arxiv.org/abs/2304.09208.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Charged-hadron production in $pp$, $p$+Pb, Pb+Pb, and Xe+Xe..:

Aad, Georges ; Abbott, Braden Keim ; Adam Bourdarios, Claire...
info:eu-repo/semantics/altIdentifier/doi/10.3204/PUBDB-2023-04791.  , 2023
Link: https://bib-pubdb1.desy...
 
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6

CTD2022: ATLAS ITk Track Reconstruction with a GNN-based Pi..:

Rougier, Charline ; Vallier, Alexis ; Murnane, Daniel Thomas...
https://indico.cern.ch/event/1103637/contributions/4821831/.  , 2023
Link: https://zenodo.org/recor..
 
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7

CTD2022: Track Reconstruction using Geometric Deep Learning..:

Akram, Adeel ; Ju, Xiangyang
https://indico.cern.ch/event/1103637/contributions/4821868/.  , 2023
Link: https://zenodo.org/recor..
 
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8

Holistic approach to predicting top quark kinematic propert..:

Qiu, Shikai ; Han, Shuo ; Ju, Xiangyang..
qt6wc0z329.  , 2023
Link: https://escholarship.org..
 
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9

CTD2022: ATLAS ITk Track Reconstruction with a GNN-based Pi..:

Rougier, Charline ; Vallier, Alexis ; Murnane, Daniel Thomas...
https://indico.cern.ch/event/1103637/contributions/4821831/.  , 2023
Link: https://zenodo.org/recor..
 
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10

Applications of Deep Learning to physics workflows:

Agarwal, Manan ; Alameda, Jay ; Audenaert, Jeroen...
http://arxiv.org/abs/2306.08106.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Generative Machine Learning for Detector Response Modeling ..:

Xu, Allison ; Han, Shuo ; Ju, Xiangyang.
doi:10.5281/zenodo.7971704.  , 2023
Link: https://zenodo.org/recor..
 
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12

Integrating Particle Flavor into Deep Learning Models for H..:

Chan, Jay ; Ju, Xiangyang ; Kania, Adam...
http://arxiv.org/abs/2312.08453.  , 2023
Link: http://arxiv.org/abs/231..
 
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13

Simulation of Hadronic Interactions with Deep Generative Mo..:

Pham, Tuan Minh ; Ju, Xiangyang
http://arxiv.org/abs/2310.07553.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

Event Generator Tuning Incorporating Systematic Uncertainty:

Schroff, Jaffae ; Ju, Xiangyang
http://arxiv.org/abs/2310.07566.  , 2023
Link: http://arxiv.org/abs/231..
 
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15

Fitting a deep generative hadronization model:

Chan, Jay ; Ju, Xiangyang ; Kania, Adam...
qt11n7833x.  , 2023
Link: https://escholarship.org..
 
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