Haochong Shen

Title: Innovations of Haochong Shen in Machine Learning

Introduction

Haochong Shen is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of machine learning, particularly in the area of data protection. His innovative approach focuses on obfuscating sensitive data to enhance security during data transmission.

Latest Patents

Haochong Shen holds a patent for a "Machine Learning (ML) model pipeline with obfuscation to protect sensitive data therein." This invention provides a system and platform for Machine Learning (ML) based Data Discovery and Classification. The system comprises components such as a user console, a ML agent, and a ML data engine. The ML pipeline ensures that sensitive data is obfuscated, preventing it from being transmitted in clear text to a centralized server. The ML Agent operates on a data endpoint machine or proxy to convert clear text data into embedding vectors, while the ML data engine on the centralized server trains models using these vectors. This separation of pipeline components enhances data security by preventing the transfer of clear data.

Career Highlights

Haochong Shen is currently employed at Thales Dis Cpl Usa, Inc., where he continues to develop innovative solutions in machine learning. His work emphasizes the importance of data security and the effective use of machine learning technologies.

Collaborations

Haochong collaborates with Yen-Fen Hsu, contributing to advancements in their field through shared expertise and innovative ideas.

Conclusion

Haochong Shen's contributions to machine learning and data security are noteworthy. His patent reflects a commitment to protecting sensitive information while leveraging advanced technologies. His work continues to influence the landscape of data protection in machine learning applications.