Weijie Shen

Title: Weijie Shen: Innovator in Machine Learning Time-Series Forecasting

Introduction

Weijie Shen is a prominent inventor based in Mountain View, CA, known for his contributions to the field of machine learning. His innovative work focuses on large-scale time-series forecasting, which has significant implications for various industries.

Latest Patents

Weijie Shen holds a patent for a method titled "Machine learning super large-scale time-series forecasting." This invention involves a sophisticated approach to forecasting time-series data. The method, when executed by data processing hardware, performs several operations, including receiving a forecasting query from a user. It forecasts future data based on a set of current time-series data. The process includes obtaining training data from the current data set, training two sub-models of a forecasting model using different portions of this training data, and ultimately returning the forecasted future data to the user.

Career Highlights

Weijie Shen is currently employed at Google Inc., where he applies his expertise in machine learning to develop advanced forecasting solutions. His work has positioned him as a key player in the tech industry, particularly in the realm of data analysis and predictive modeling.

Collaborations

Some of his notable coworkers include Xi Cheng and Jiashang Liu, who collaborate with him on various projects within the company.

Conclusion

Weijie Shen's innovative contributions to machine learning and time-series forecasting exemplify the impact of technology on data analysis. His work continues to influence advancements in predictive modeling and data processing.