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Xiangyang Ju

Identifiers

  • name variant Xiangyang Ju 0.60 · backfill

Papers (32)

  1. Uncertainty Quantification and Propagation for ACORN, a geometric deep learning tracking pipeline for HEP experiments hep-ex · 2025 · author #3
  2. Scaling Graph Neural Networks for Particle Track Reconstruction cs.LG · 2025 · author #3
  3. Application of Geometric Deep Learning for Tracking of Hyperons in a Straw Tube Detector hep-ex · 2025 · author #2
  4. Track reconstruction as a service for collider physics physics.ins-det · 2025 · author #4
  5. TrackSorter: A Transformer-based sorting algorithm for track finding in High Energy Physics cs.LG · 2024 · author #2
  6. Graph Neural Network-based Tracking as a Service physics.comp-ph · 2024 · author #11
  7. A Language Model for Particle Tracking hep-ph · 2024 · author #7
  8. An Application of HEP Track Seeding to Astrophysical Data astro-ph.GA · 2024 · author #3
  9. Integrating Particle Flavor into Deep Learning Models for Hadronization hep-ph · 2023 · author #2
  10. Event Generator Tuning Incorporating Systematic Uncertainty hep-ph · 2023 · author #2
  11. Simulation of Hadronic Interactions with Deep Generative Models hep-ph · 2023 · author #2
  12. Applications of Deep Learning to physics workflows hep-ex · 2023 · author #30
  13. Fitting a Deep Generative Hadronization Model hep-ph · 2023 · author #2
  14. Parton Labeling without Matching: Unveiling Emergent Labelling Capabilities in Regression Models hep-ph · 2023 · author #3
  15. Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow hep-ex · 2023 · author #3
  16. Hierarchical Graph Neural Networks for Particle Track Reconstruction hep-ex · 2023 · author #4
  17. Heterogeneous Graph Neural Network for Identifying Hadronically Decayed Tau Leptons at the High Luminosity LHC physics.ins-det · 2023 · author #2
  18. Benchmarking GPU and TPU Performance with Graph Neural Networks cs.LG · 2022 · author #1 as printed: xiangyang Ju
  19. Track Reconstruction using Geometric Deep Learning in the Straw Tube Tracker (STT) at the PANDA Experiment hep-ex · 2022 · author #2
  20. Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations hep-ex · 2022 · author #2
  21. Towards a Deep Learning Model for Hadronization hep-ph · 2022 · author #2
  22. Portability: A Necessary Approach for Future Scientific Software physics.comp-ph · 2022 · author #8
  23. Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline physics.ins-det · 2022 · author #2
  24. A Holistic Approach to Predicting Top Quark Kinematic Properties with the Covariant Particle Transformer hep-ph · 2022 · author #3
  25. Accelerating the Inference of the Exa.TrkX Pipeline physics.ins-det · 2022 · author #2
  26. Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers hep-ex · 2021 · author #16
  27. BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators math.NA · 2021 · author #6
  28. Apprentice for Event Generator Tuning hep-ex · 2021 · author #3
  29. Beyond 4D Tracking: Using Cluster Shapes for Track Seeding physics.ins-det · 2020 · author #4
  30. Supervised Jet Clustering with Graph Neural Networks for Lorentz Boosted Bosons hep-ph · 2020 · author #1
  31. Track Seeding and Labelling with Embedded-space Graph Neural Networks physics.ins-det · 2020 · author #3
  32. Dark Matter Benchmark Models for Early LHC Run-2 Searches: Report of the ATLAS/CMS Dark Matter Forum hep-ex · 2015 · author #63

Mentions

  • 2508.16518 #3 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2504.04670 #3 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2503.14305 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2501.05520 #4 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2407.21290 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2304.09208 #3 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2401.06011 #3 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2402.10239 #7 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2402.09633 #11 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2312.08453 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2303.10148 #3 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2310.07566 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2310.07553 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2305.17169 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2301.00501 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2203.05687 #3 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2306.08106 #30 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2303.01640 #4 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2203.08800 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2202.06929 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2103.06233 #16 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2007.00149 #3 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2208.07715 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2203.12660 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2208.12178 #2 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2210.12247 #1 · arxiv_oai · confidence 0.70 xiangyang Ju
  • 2203.09945 #8 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2012.04533 #4 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2103.05748 #3 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2103.05751 #6 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 2008.06064 #1 · arxiv_oai · confidence 0.70 Xiangyang Ju
  • 1507.00966 #63 · arxiv_oai · confidence 0.70 Xiangyang Ju

Frequent Coauthors