Facial Shape Recovery by Feature Driven Stereo Analysis. - Xiangyang Ju; Andrew Naftel (BMVC, 1999)

Individualising Human Animation Models. - Xiangyang Ju; J. Paul Siebert (Eurographics (Short Presentations), 2001)

A New Automated Workflow for 3D Character Creation Based on 3D Scanned Data. - Alexander Sibiryakov; Xiangyang Ju; Jean-Christophe Nebel (International Conference on Virtual Storytelling, 2003)

Applying Mesh Conformation on Shape Analysis with Missing Data. - Xiangyang Ju; Zhili Mao; J. Paul Siebert; Nigel J. B. McFarlane; Jiahua Wu; Robin D. Tillett (3DPVT, 2004)

Integration of Range Images in a Multi-View Stereo System. - Xiangyang Ju; Tim Boyling; J. Paul Siebert; Nigel J. B. McFarlane; Jiahua Wu; Robin D. Tillett (ICPR (4), 2004)

Constructing dense correspondences for the analysis of 3D facial morphology. - Zhili Mao; Xiangyang Ju; J. Paul Siebert; W. Paul Cockshott; Ashraf F. Ayoub (Pattern Recognit. Lett., 2006)

Self-correction of 3D reconstruction from multi-view stereo images. - Xiangyang Ju; J. Paul Siebert; Balvinder Khambay; Ashraf F. Ayoub (ICCV Workshops, 2009)

Facial Expression Transferring with a Deformable Model. - Guofu Xiang; Xiangyang Ju; Patrik O'Brian Holt; Lin Shang 005 (TPCG, 2009)

Automatic 3D Facial Model and Texture Reconstruction from Range Scans. - Guofu Xiang; Xiangyang Ju; Patrik O'Brian Holt (AMDO, 2010)

Automatic Facial Expression Tracking for 4D Range Scans. - Guofu Xiang; Xiangyang Ju; Patrik O'Brian Holt (CGVR, 2010)

Evaluation of the Reproducibility of Non-verbal Facial Animations. - Xiangyang Ju; Balvinder Khambay; Emer O'Leary; Thamer Al-Anezi; Ashraf F. Ayoub (AMDO, 2012)

Multi-view stereophotogrammetry for post-mastectomy breast reconstruction. - Xiangyang Ju; Helga Henseler; Matthew Jian-Qiao Peng; Balvinder Khambay; Arup K. Ray; Ashraf F. Ayoub (Medical Biol. Eng. Comput., 2016)

3D Head Shape Analysis of Suspected Zika Infected Infants. - Xiangyang Ju; Idelmo Rangel Garcia Junior; Leonardo De Freitas Silva; Peter Mossey; Dhelal Al-Rudainy; Ashraf F. Ayoub; Adriana Marques De Mattos (CISP-BMEI, 2018)

Track Seeding and Labelling with Embedded-space Graph Neural Networks. - Nicholas Choma; Daniel Murnane; Xiangyang Ju; Paolo Calafiura; Sean Conlon; Steven Farrell; Prabhat; Giuseppe Cerati; Lindsey Gray; Thomas Klijnsma; Jim Kowalkowski; Panagiotis Spentzouris; et al. (CoRR, 2020)

BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators. - Wenjing Wang; Mohan Krishnamoorthy; Juliane Müller 002; Stephen Mrenna; Holger Schulz; Xiangyang Ju; Sven Leyffer; Zachary Marshall (CoRR, 2021)

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. - Xiangyang Ju; Daniel Murnane; Paolo Calafiura; Nicholas Choma; Sean Conlon; Steven Farrell; Yaoyuan Xu; Maria Spiropulu; Jean-Roch Vlimant; Adam Aurisano; Jeremy Hewes; Giuseppe Cerati; et al. (CoRR, 2021)

Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations. - Vincent Dumont; Xiangyang Ju; Juliane Mueller 002 (CoRR, 2022)

Benchmarking GPU and TPU Performance with Graph Neural Networks. - Xiangyang Ju; Yunsong Wang; Daniel Murnane; Nicholas Choma; Steven Farrell; Paolo Calafiura (CoRR, 2022)

Hierarchical Graph Neural Networks for Particle Track Reconstruction. - Ryan Liu; Paolo Calafiura; Steven Farrell; Xiangyang Ju; Daniel Thomas Murnane; Tuan Minh Pham (CoRR, 2023)

A Language Model for Particle Tracking. - Andris Huang; Yash Melkani; Paolo Calafiura; Alina Lazar; Daniel Thomas Murnane; Minh-Tuan Pham; Xiangyang Ju (CoRR, 2024)

TrackSorter: A Transformer-based sorting algorithm for track finding in High Energy Physics. - Yash Melkani; Xiangyang Ju (CoRR, 2024)

Scaling Graph Neural Networks for Particle Track Reconstruction. - Alok Tripathy; Alina Lazar; Xiangyang Ju; Paolo Calafiura; Katherine A. Yelick; Aydin Buluç (IPDPS (Workshops), 2025)

Track reconstruction as a service for collider physics. - Haoran Zhao; Yuan-Tang Chou; Yao Yao; Xiangyang Ju; Yongbin Feng; William Patrick McCormack; Miles Cochran-Branson; Jan-Frederik Schulte; Miaoyuan Liu; Javier M. Duarte; Philip Harris; Shih-Chieh Hsu; et al. (CoRR, 2025)