Xiaotao Chen

Senior Engineer, End-side AI Inference Optimization, Meituan

Graduated from School of Computer Science, National University of Defense Technology, he has been engaged in AI inference, quantization, and training optimization. He has worked and interned at Intel, Tucson Future, and is currently working on end-side AI inference and optimization at Meituan. In the postgraduate stage, he mainly does research related to distributed deep learning system, and has in-depth understanding and development of low-bit communication, Parameter Server, Horovod, MXNet and other frameworks; after work, he mainly engages in AI inference deployment optimization related content, including: 1. Inference engine development: model quantization (PTQ, QAT), graph optimization, operator optimization, etc.; 2. Deployment Framework development: architecture design, tool development, service construction, etc.