This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Siemens Aktiengesellschaft. Active years: 2020.
Company Filing History:
Years Active: 2020
Title: Xi He: Innovator in Deep Learning Optimization
Introduction
Xi He is a prominent inventor based in Allentown, PA (US). She has made significant contributions to the field of deep learning, particularly in optimizing training methods for neural networks. Her innovative approach addresses critical challenges in the optimization process, making her a noteworthy figure in the tech industry.
Latest Patents
Xi He holds a patent titled "Efficient calculations of negative curvature in a hessian free deep learning framework." This patent outlines a method for training deep learning networks by defining a loss function and utilizing an optimization method that iteratively minimizes this function. The process involves applying an eigCG solver to determine a descent direction, which helps prevent convergence to saddle points. The use of curvilinear and adaptive line-searches further guides the optimization method towards a local minimum. She has 1 patent to her name.
Career Highlights
Xi He is currently employed at Siemens Aktiengesellschaft, where she continues to develop her expertise in deep learning and optimization techniques. Her work has been instrumental in advancing the capabilities of machine learning applications.
Collaborations
Xi has collaborated with notable colleagues, including Ioannis Akrotirianakis and Amit Chakraborty. These partnerships have fostered a collaborative environment that enhances innovation and research in their field.
Conclusion
Xi He is a trailblazer in the realm of deep learning optimization, with her patent showcasing her innovative approach to overcoming challenges in neural network training. Her contributions are paving the way for future advancements in artificial intelligence.