Leyuan Wang

Title: Leyuan Wang: Innovating in Machine Learning and Optimization

Introduction

Leyuan Wang is an accomplished inventor based in Davis, CA, who has made significant contributions to the fields of machine learning and optimization. With a total of two patents to his name, Wang's work focuses on enhancing the performance of convolutional neural networks and optimizing aggregation schedules for deep learning models.

Latest Patents

Wang's latest patents showcase his innovative approaches to solving complex challenges in machine learning. The first patent, titled "Unified optimization for convolutional neural network model inference on integrated graphics processing units," describes techniques for optimizing and deploying CNN models for inference using integrated graphics processing units (GPUs). This model compilation system enhances CNN models by employing optimized vision-specific operators and conducting both graph-level and tensor-level tuning. Furthermore, it introduces a heuristic-based two-stage technique that allows certain operators to efficiently utilize CPUs when necessary.

The second patent, "Optimal message scheduling for aggregation," addresses the determination of optimal aggregation schedules for training deep machine learning models across multiple processing elements. This patent details how a deep learning model can be trained using interconnected computing devices, with the optimal aggregation schedule being derived through solving a linear program on the spanning tree polytope.

Career Highlights

Leyuan Wang is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of innovation in machine learning and optimization. His role at Amazon allows him to work on cutting-edge technologies that have the potential to transform the industry.

Collaborations

Throughout his career, Wang has collaborated with notable professionals in his field, including Mu Li and Alexander Johannes Smola. These partnerships highlight his commitment to advancing technology through cooperative efforts and shared expertise.

Conclusion

Leyuan Wang's contributions to the field of machine learning through his patented innovations underscore his impact as an inventor. With his focus on optimizing CNN model inference and aggregation schedules, Wang is set to play a key role in the future of intelligent systems and technology advancement.