Xiaoqiong Liu

Fordham University, University of North Texas

Papers

Total Citations

H-Index

About

Xiaoqiong Liu’s research bridges the frontiers of artificial intelligence, intellectual property law, and computer vision, offering transformative insights across disciplines. Her most influential work, “When Artificial Intelligence Systems Produce Inventions: The 3A Era and an Alternative Model for Patent Law” (2017, 45 citations), reimagines patent frameworks for an age where AI generates inventions autonomously. By proposing the “3A Era” model, Liu provides a pioneering legal and ethical roadmap for attributing inventorship, addressing a critical gap as AI systems increasingly act as creators. This contribution has shaped debates in tech policy and intellectual property scholarship. In computer vision, Liu leads the development of PlanarTrack (2023), a large-scale, challenging benchmark for planar object tracking—a problem vital to robotics and augmented reality. By addressing the lack of comprehensive datasets in the deep learning era, her work accelerates progress in tracking algorithms, enabling more robust real-world applications. With her dual expertise in AI law and vision technology, Liu stands out as a visionary researcher whose work not only advances technical capabilities but also ensures that legal systems evolve alongside AI innovation.