Jiangyue Yue developed floating-point format conversion utilities for the Tencent/ncnn repository, focusing on supporting float8 and bfloat8 data types to improve memory efficiency and computational speed for inference tasks on edge devices. The work involved implementing precise C++ conversion functions and integrating them into the library’s core floating-point data paths, enabling models to leverage compact representations without sacrificing performance. By addressing the need for low-precision format handling and efficient numerical computing, Jiangyue expanded the library’s capabilities for memory-constrained environments. The contribution demonstrated a solid understanding of C++ development and data type conversion, with careful attention to integration and performance optimization.