Company Filing History:
Years Active: 2023
Title: Innovations of Jing Lu in Machine Learning Algorithms
Introduction
Jing Lu is an accomplished inventor based in Burlingame, CA (US). She has made significant contributions to the field of machine learning, particularly in developing systems and methods that enhance the training of multi-objective algorithms. Her innovative work has the potential to transform how advertising campaigns are managed and optimized.
Latest Patents
Jing Lu holds a patent for "Systems and methods for training of multi-objective machine learning algorithms." This patent describes a sophisticated system that includes one or more processors and non-transitory storage devices. The system is designed to receive objectives and constraints from a user, generate a combined objective, and calculate the return per click for advertisement campaigns. It also determines bids based on the return per click and advertising spend, estimates costs, and adjusts bids when constraints are exceeded. This innovative approach streamlines the decision-making process in advertising, making it more efficient and effective.
Career Highlights
Jing Lu is currently employed at Walmart Apollo, LLC, where she applies her expertise in machine learning to develop cutting-edge solutions. Her work is characterized by a strong focus on practical applications that address real-world challenges in the advertising sector. With her unique skill set, she has positioned herself as a key player in the intersection of technology and marketing.
Collaborations
Jing has collaborated with notable colleagues, including Changzheng Liu and Wei Shen. These partnerships have fostered an environment of innovation and creativity, allowing for the exchange of ideas and the development of advanced technologies.
Conclusion
Jing Lu's contributions to machine learning and advertising optimization exemplify the impact of innovative thinking in technology. Her patent and work at Walmart Apollo, LLC highlight her role as a leading inventor in her field. Through her efforts, she continues to push the boundaries of what is possible in machine learning applications.