Jiang Xu

Achieving 205× latency reduction in FPGA-based neural networks could redefine the benchmarks for ultra-fast inference in latency-critical applications.

HiFuzz outperforms traditional fuzzing techniques by leveraging hierarchical reinforcement learning to achieve deeper architectural state exploration and improved bug detection.

CGRA performance jumps by 2.7x thanks to NEURA, a compilation framework that elegantly transforms control flow into dataflow.