Yuning Qiu

Background

About Yuning Qiu

Yuning Qiu is an accomplished AI Software Solution Engineer with a Ph.D. in Electrical Engineering from the University of Texas, Dallas. With over seven years of experience in the fields of artificial intelligence and machine learning, Yuning has made significant contributions to both industry and academia. At Intel Corporation, Yuning leads the development and deployment of cutting-edge Generative AI applications, with a focus on enabling customers to customize and operationalize large language and vision models (LLMs and LVMs) training and inference on the Intel® Tiber™ AI Cloud. His work spans engineering high-performance AI solutions, authoring technical blogs and publications, and representing Intel at industry conferences. Yuning plays a key role in industry benchmarking and performance analysis, contributing to MLPerf submissions and driving critical optimizations across Intel’s latest hardware platforms, including Xeon CPUs, Ponte Vecchio (PVC) GPUs, and Gaudi accelerators. In academia, Yuning’s research has advanced the field of anomaly detection, particularly in autonomous driving systems. He has pioneered the use of contrastive learning and multimodal fusion techniques to enhance system reliability. His work on conditional Generative Adversarial Networks (cGANs) and Transformers has set new benchmarks, with publications in top-tier venues such as Transactions on Intelligent Vehicles and the Intelligent Vehicles Symposium. Beyond his technical expertise, Yuning is a skilled communicator and educator. He has delivered comprehensive training sessions on AI/ML toolkits and presented webinars on optimizing AI workloads. His academic contributions include several high-impact publications and a patent on operator takeover prediction, demonstrating his ability to bridge theoretical research with real-world applications.