Tianyu Zhu

Achieving a 96% reduction in computation for RAW video restoration with minimal performance loss opens new avenues for efficient video processing in real-time applications.

Achieving state-of-the-art accuracy in large-scale quantum chemistry calculations while drastically reducing computational costs could redefine practical limits in many-body physics.

ACE-Brain-0.5 unifies spatial reasoning and action generation in embodied AI, achieving remarkable performance improvements across multiple benchmarks.

Geometry-aware distillation enables text-driven video segmentation models to achieve state-of-the-art performance by leveraging 3D geometric knowledge, even from 2D image datasets.

SAP-based machine learning achieves unprecedented accuracy in predicting electronic structures, even for unseen molecular configurations.

EOM-CCSD achieves unprecedented accuracy in band gap predictions, outperforming traditional methods with a mean absolute error of just 0.27 eV.