Zhida Shen

Title: Zhida Shen and His Patent in Transfer Learning.

Introduction.

Zhida Shen is an inventor based in San Jose, California. His work includes a patent on machine learning and transfer learning, and the supplied information identifies PayPal, Inc. as his company.

Latest Patents.

Shen is credited with 1 patent: “Multi-domain feature enhancement for transfer learning (FTL).” The patent describes methods and systems for configuring and training a machine learning model to transfer knowledge among multiple domains that do not share identical feature sets. It uses a combined feature arrangement with a domain-independent section for features common across domains and separate domain-specific sections for each domain’s features. A model configured this way can learn across multiple domains and perform tasks for them.

Career Highlights.

The provided information associates Shen with PayPal, Inc. and highlights his patent work in machine learning. The invention addresses the challenge of applying transfer learning when different domains use different features.

Collaborations.

Suraj Jayakumar is identified as Shen’s coworker. The available information does not specify whether Jayakumar collaborated on the patent.

Conclusion.

Zhida Shen’s patent presents an approach to transfer learning that combines shared and domain-specific features, enabling a machine learning model to learn across domains with differing feature sets.