Talks & Posters

Presentations on machine learning for physics, scientific representations, and HPC workflows.

Recent presentations

Token-Based Transformer Models for Pattern Recognition on Point Clouds ToPDF

Dr. Xiangyang Ju, 9th International Connecting the Dots Workshop (CTD 2025), University of Tokyo, Tokyo, Japan, November 09, 2025
Generative Language Model for Simulating Particles Interacting with Matter ToPDF

Dr. Xiangyang Ju, 23rd International Conference on Computing in High Energy and Nuclear Physics (ACAT 2025), University of Hamburg, Hamburg, Germany, September 08, 2025
High-Performance Computing Workflow for Distributed Hyperparameter Search in Medium-Sized Machine Learning Models ToPDF

Dr. Xiangyang Ju, 23rd International Conference on Computing in High Energy and Nuclear Physics (ACAT 2025), University of Hamburg, Hamburg, Germany, September 08, 2025

AthenaTriton: A Tool for running Machine Learning Inference as a Service in Athena ToPDF

Dr. Yuan-Tang Chou, 27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024), Auditorium Maximum of Jagiellonian University, Krakow, Poland, October 21, 2024
Machine Learning Inference in Athena with ONNXRuntime ToPDF

Dr. Xiangyang Ju, 27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024), Auditorium Maximum of Jagiellonian University, Krakow, Poland, October 21, 2024
ACTS as a Service ToPDF

Dr. Yuan-Tang Chou, 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2024), Stony Brook University, Long Island, NY, USA, March 14, 2024
Leveraging Language Models for Particle Reconstruction ToPDF

Dr. Xiangyang Ju, 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2024), Stony Brook University, Long Island, NY, USA, March 12, 2024

A Generalist Model for Particle Tracking ToPDF

Dr. Xiangyang Ju, 8th International Connecting The Dots Workshop (CTD 2023), Place du village, Toulouse, France, October 11, 2023
Graph Neural Network-based Tracking as a Service ToPDF

Dr. Xiangyang Ju, 8th International Connecting The Dots Workshop (CTD 2023), Place du village, Toulouse, France, October 10, 2023
Large Language Models ToPDF

Dr. Xiangyang Ju, US ATLAS ML Training 2023, NERSC, Berkley, CA, USA, July 28, 2023
Simulation of Hadronic Interactions with Deep Generative Models ToPDF

Mr. Tuan Minh Pham, 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023), Norfolk Waterside Marriott, Norfolk, US, May 11, 2023
Event Generator Tuning Incorporating MC Systematic Uncertainty ToPDF

Dr. Xiangyang Ju, 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023), Norfolk Waterside Marriott, Norfolk, US, May 09, 2023
Deep generative models for generating Drell-Yan events in the ATLAS collaboration at the LHC ToPDF

Dr. Xiangyang Ju, 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023), Norfolk Waterside Marriott, Norfolk, US, May 09, 2023
Physics Performance of the ATLAS GNN4ITk Track Reconstruction Chain ToPDF

Dr. Xiangyang Ju, 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023), Norfolk Waterside Marriott, Norfolk, US, May 08, 2023

Track Reconstruction using Geometric Deep Learning in the Straw Tube Tracker (STT) at the PANDA Experiment ToPDF

Mr. Adeel Akram, 7th International CTD Workshop, Princeton University, Princeton, US, June 02, 2022
ExaTrkX as a Service ToPDF

Dr. Xiangyang Ju, 7th International CTD Workshop, Princeton University, Princeton, US, May 31, 2022
ATLAS ITk Track Reconstruction with a GNN-based Pipeline ToPDF

Ms. Charline Rougier, 7th International CTD Workshop, Princeton University, Princeton, US, May 31, 2022

Accelerating the Inference Time of Machine Learning-based Track Finding Pipeline ToPDF

Prof. Alina Lazar, ACAT 2021, Virtual and IBS Science Culture Center, Daejeon, South Korea, December 01, 2021
Graph Neural Network for Large Radius Tracking ToPDF

Mr. Chunyi Wang, ACAT 2021, Virtual and IBS Science Culture Center, Daejeon, South Korea, November 28, 2021
root2gnn: GNN for HEP data ToPDF

Dr. Xiangyang Ju, PyHEP 2021 (virtual) Workshop, online, online, July 07, 2021
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline ToPDF

Dr. Daniel Murnane, 25th International Conference on Computing in High-Energy and Nuclear Physics, online, online, May 20, 2021
Apprentice for Event Generator Tuning ToPDF

Dr. Mohan Krishnamoorthy, 25th International Conference on Computing in High-Energy and Nuclear Physics, online, online, May 18, 2021

Distributed training of graph neural network at HPC ToPDF

Dr. Xiangyang Ju, 4th Inter-experimenet Machine Learning Workshop, online, online, October 22, 2020
Tracking GNN Walk Through ToPDF

Dr. Xiangyang Ju and Dr. Daniel Murnane, 4th Inter-experimenet Machine Learning Workshop, online, online, October 22, 2020
Graph Neural Network-based Event Classification for Measurement of the Higgs-Top Yukawa Interaction ToPDF

Mr. Ryan Roberts, 4th Inter-experimenet Machine Learning Workshop, online, online, October 22, 2020

Graph Neural Network for Particle Reconstruction in High Energy Physics detectors ToPDF

Dr. Xiangyang Ju, 33rd Annual Conference on Neural Information Processing Systems, Vancouver Conventional Center, Vancouver, Canada, December 14, 2019
HEP.TrkX Charged Particle Tracking using Graph Neural Network ToPDF

Dr. Xiangyang Ju, Connecting The Dots / Intelligent Trackers, Jardi Botanic de Valencia, Valencia, Spain, April 03, 2019

A novel workflow of generator tunings in HPC for LHC new physics searches ToPDF

Dr. Xiangyang Ju, Physics Event Generator Computing Workshop, CERN, Meyrin, Switzerland, November 27, 2018

Search for heavy ZZ resonances in the four-lepton and llνν final states with the ATLAS detector ToPDF

Mr. Xiangyang Ju, Meeting of APS Division of Particle and Field, Fermi Accelerator National Laboratory, DuPage County, IL, US, August 03, 2017

Study of the properties of the Higgs boson and searches for new physics with the Higgs boson at ATLAS using 13 TeV data ToPDF

Mr. Xiangyang Ju, , Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland, October 03, 2016
Search for BSM physics including dark matter at ATLAS ToPDF

Mr. Xiangyang Ju, 2016 UCLA Dark Matter Conference, University of California Los Angeles, Los Angeles, USA, February 18, 2016

Selected key perspectives of H → ZZ analysis in LHC Run 2 ToPDF

Mr. Xiangyang Ju, ATLAS Higgs group workshop, Sapienza Universita di Roma, Rome, Italy, April 18, 2014