Xiaowen Zhang

Title: Innovations and Contributions of Inventor Xiaowen Zhang

Introduction

Xiaowen Zhang is a prominent inventor based in San Francisco, CA, known for his significant contributions to the field of machine learning and data processing. With a total of seven patents to his name, Zhang has made notable advancements that address critical challenges in technology.

Latest Patents

One of Zhang's latest patents is focused on the down-sampling of negative signals used in training machine-learned models. In this embodiment, a skip logic utilizing downsampling is applied to negative signals within a training data set. This innovative approach helps to overcome the technical problem of biasing the machine-learned model towards negative cases. Another significant patent involves entity pyramid embeddings, which provides a system for processing data. During operation, the system processes a first set of features for a first entity using a series of embedding layers. This includes applying each embedding layer to a concatenation of outputs from preceding layers, ultimately producing a first embedding for use by a machine learning model.

Career Highlights

Zhang has worked with notable companies such as Microsoft Technology Licensing, LLC and LinkedIn Corporation. His experience in these organizations has contributed to his expertise in machine learning and data processing technologies.

Collaborations

Zhang has collaborated with talented individuals in his field, including Xiaoqing Wang and Qing Duan. These collaborations have likely enriched his work and led to further innovations.

Conclusion

Xiaowen Zhang's contributions to machine learning and data processing through his patents and career experiences highlight his role as a leading inventor in the technology sector. His innovative approaches continue to influence advancements in the field.