Jiyuan Wang

Bridging the semantic gap in fashion detail generation, DetailAnywhere sets a new standard by significantly outperforming existing methods in producing high-quality garment close-ups.

Over 2,000 previously undetected bugs in deep learning compilers expose the hidden complexities of compiler-platform interactions that traditional testing methods miss.

Quantum compilers are blind to recurring error patterns that can be fixed with simple gate swaps, leading to a 45% performance boost on real hardware.

AI coding agents often produce functionally correct code that's a maintainability nightmare, failing structural oracles in 13% of cases even when passing all functional tests.

Forget painstakingly curating 3D-consistent datasets: this RL approach uses a 3D foundation model to *verify* consistency, turning 3D scene editing into a tractable reinforcement learning problem.