Junwei Fu developed and validated quantized neural network execution paths across mozilla/gecko-dev and google/XNNPACK, focusing on test-driven fusion validation and robust parameter handling for quantized operations. He implemented WebNN quantized operation fusion tests and expanded coverage for convolution and convTranspose2d, ensuring conformance with TFLite and improving reliability. In XNNPACK, Junwei corrected quantized INT8 padding-convolution fusion, aligning fused and unoptimized execution paths. His work leveraged C, C++, and JavaScript, applying skills in conformance testing, quantization, and deep learning optimization. These contributions enabled safer performance optimizations and reduced regression risk, demonstrating strong depth in low-level machine learning engineering.