Jiaxun Wu

Title: Innovations of Jiaxun Wu

Introduction

Jiaxun Wu is an accomplished inventor based in Sammamish, WA (US). He has made significant contributions to the field of machine learning and time series forecasting. With a total of 4 patents to his name, his work continues to influence advancements in technology.

Latest Patents

One of his latest patents is focused on transformation for machine learning pre-processing. This patent includes methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for transformation for machine learning pre-processing. In this innovation, an instruction to create a model is obtained, and a determination is made whether the instruction specifies a transform. If it does, the process involves determining whether the transform requires statistics on the training data. The training data is accessed, and if statistics are needed, transformed training data is generated from both the training data and the statistics. Ultimately, a model is generated with the transformed training data, and a representation of the transform and the statistics is stored as metadata for the model.

Another notable patent by Jiaxun Wu is related to enhanced time series forecasting. This innovation utilizes an attributes model of a time series forecasting model to determine a set of features based on time series data, which includes periodic components. The time series data may be divided into segments, and for each segment, a weight is assigned based on the age of the segment. This results in a set of weighted segments of time series data. Using a trend detection model, trend data from these weighted segments is determined, allowing for the generation of a time series forecast by combining the set of features and the trend data.

Career Highlights

Jiaxun Wu has worked with prominent companies such as Google Inc. and Snowflake Inc. His experience in these organizations has contributed to his expertise in machine learning and data analysis.

Collaborations

Throughout his career, Jiaxun Wu has collaborated with talented individuals, including Amir H Hormati and Michel Adar. These collaborations have further enriched his work and innovations.

Conclusion

Jiaxun Wu is a notable inventor whose contributions to machine learning and time series forecasting are significant. His patents reflect a deep understanding of technology and its applications. His work continues to pave the way for future innovations in the field.