Xian Wu

Title: Xian Wu: Innovator in Machine Learning and Neural Networks

Introduction

Xian Wu is a prominent inventor based in South Bend, IN (US), known for his contributions to the fields of machine learning and neural networks. With a total of 4 patents, he has made significant strides in developing innovative systems and methods that enhance data processing and forecasting capabilities.

Latest Patents

One of Xian Wu's latest patents is titled "System and method for deep enriched neural networks for time series forecasting." This invention relates to methods, systems, mediums, and implementations for machine learning. It involves receiving input data associated with a time series and obtaining hidden representations in a feature space. These representations are then used to generate a query vector, which queries relevant historic information related to the time series. The aggregation of the query vector and historic information generates enriched hidden representations that enhance expressiveness.

Another notable patent is the "Neural contextual bandit based computational recommendation method and apparatus." This invention discloses systems and methods that utilize neural contextual bandit techniques to improve interactions between computers in content generation, searching, and hosting systems. The systems make item recommendations using latent relations and representations, enhancing the quality of data processing in these interactions.

Career Highlights

Xian Wu has worked with notable companies such as Yahoo Assets LLC and Verizon Media Inc. His experience in these organizations has contributed to his expertise in machine learning and neural network applications.

Collaborations

Xian has collaborated with talented individuals in his field, including Suleyman Cetintas and Jian Yang. These collaborations have likely fostered innovative ideas and advancements in their respective projects.

Conclusion

Xian Wu's work in machine learning and neural networks showcases his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving data processing and forecasting methods, making him a significant figure in the field.