Xin Liu

A hybrid LLM architecture achieved 99.2% accuracy in O-RADS classification, outperforming traditional methods and highlighting the potential for reliable clinical automation.

The first algorithm for constrained density functional theory with rigorous convergence guarantees achieves high accuracy and efficiency without compromising robustness.

Overlapping subgraphs can enhance credit risk detection without sacrificing topological integrity, outperforming traditional methods in real-world applications.

TIDE achieves real-time tracking of schooling fish with a 38.7-fold reduction in computational overhead compared to leading methods, making it viable for edge deployment.

Achieving an 8.6% boost in registration accuracy by intelligently pruning correspondences based on point cloud density could redefine standards in image-to-point cloud alignment.