X. Ju

This profile centers on experimental particle physics research conducted within the ATLAS collaboration at the Large Hadron Collider, focusing on measurements of the Higgs boson, top quark, and searches for new particles beyond the current understanding of physics. The work also includes machine learning methods, such as graph neural networks, applied to reconstructing particle tracks and identifying particle types (jet flavour tagging) from collision data. Note that the publication list also contains several titles on unrelated topics (e.g., DNA droplets, hydraulic power systems, educational software), which likely reflect shared author names rather than this researcher's core work.

Publication output has grown substantially over the last decade, rising from under 100 papers per year around 2017 to nearly 200 per year in 2023–2024, consistent with large-scale collaborative particle physics experiments.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026