<p>Jiong Gong is a software architect and principal engineer at Intel, specializing in the optimization of Deep Learning Frameworks and their Intel-accelerated extensions. He has previously worked on Caffe and Caffe2 and is currently focused on PyTorch and the Intel Extension for PyTorch (IPEX). Jiong is responsible for architecture design across the software stack, including frontend APIs, operator optimization, graph compilers, and accelerator library design. As an active contributor to the PyTorch community and one of the maintainers of the PyTorch CPU module, he plays a key role in advancing deep learning technology. Jiong is also an expert in deep learning compression, contributing significantly to Intel’s low-precision deep learning technology, such as DL Boost.<br />
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