Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

portfolio

publications

Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 39(11), 2025

A learning-based framework that predicts which variable ordering heuristic to apply at each decision point in a CSP solver. AAAI 2025.

Recommended citation: Jitao Xu, Y. Wu, H. Li, M. Yin. (2025). "Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems." Proceedings of the AAAI Conference on Artificial Intelligence, 39(11), 11390.

Towards an Event-Level Analysis in Hadronic Physics Using Generative AI-Based Surrogates

Published in 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI), 2025

Generative surrogate models that make event-level analysis tractable in hadronic physics.

Recommended citation: T. Alghamdi, Jitao Xu, N. Ramachandra, N. Sato, Y. Li. (2025). "Towards an Event-Level Analysis in Hadronic Physics Using Generative AI-Based Surrogates." 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI).

Active Diffusion-Based Inference for Ill-Posed Inverse Problems Under Incomplete Priors

Published in Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026), Main Track, 2026

Diffusion-based active inference for inverse problems where the prior information available is incomplete. Accepted to the main track of IJCAI-ECAI 2026.

Recommended citation: Jitao Xu, N. Sato, Y. Li. (2026). "Active Diffusion-Based Inference for Ill-Posed Inverse Problems Under Incomplete Priors." Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026), Main Track.

Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Diffusion

Published in Conference on Physics and AI (PAI26), 2026

A conditional diffusion model that learns transverse momentum distributions directly from raw scattering events, without an intermediate binning or unfolding step.

Recommended citation: Jitao Xu, C. Cocuzza, K. Braga, D. Lersch, N. Sato, Y. Li. (2026). "Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Diffusion." Conference on Physics and AI (PAI26).

Neural Network Representation of Generalized Parton Distributions (NNGPD)

Published in arXiv preprint arXiv:2605.06994, 2026

A neural network parameterisation of generalized parton distributions. arXiv preprint.

Recommended citation: Jitao Xu, H. Jang, Z. Panjsheeri, G. W. Chern, Y. Li, S. Liuti, D. Adams, et al. (2026). "Neural Network Representation of Generalized Parton Distributions (NNGPD)." arXiv preprint arXiv:2605.06994.
Download Paper

talks

teaching

CS 471 — Operating Systems

Undergraduate course, Old Dominion University, Department of Computer Science, 2024

Teaching assistant, Fall 2024. Supported 40+ undergraduates through process management, memory allocation, and concurrency.

CS 312 — Internet Concepts

Undergraduate course, Old Dominion University, Department of Computer Science, 2025

Teaching assistant, Spring 2025. Supported instruction in HTML5, CSS3, JavaScript, and responsive web design.