Meng Meng

Title: Meng Meng: Innovator in Machine Learning Technologies

Introduction

Meng Meng is a prominent inventor based in San Jose, California. He has made significant contributions to the field of machine learning, holding a total of 4 patents. His work focuses on developing advanced techniques that enhance the capabilities of machine-learned models.

Latest Patents

Meng's latest patents include innovative methods such as "Machine-learned models incorporating sequence encoders that operate on bag of words input." This patent outlines techniques for integrating sequence encoders into machine-learned models, which utilize bag of words (BOW) input. The process involves identifying tokens associated with an entity's online activities and determining an order for machine-learned embeddings based on independent criteria. This order is then used to generate output from a sequence encoder, which ultimately helps in selecting content items based on a generated score.

Another notable patent is "Semantic matching of search terms to results." This invention describes a system for processing data that involves obtaining labels for entities in text portions and using these as training data for a machine learning model. The model is then applied to generate predictions for additional entities, creating an index that maps these entities to relevant job subsets.

Career Highlights

Meng Meng is currently employed at Microsoft Technology Licensing, LLC, where he continues to push the boundaries of machine learning technologies. His work has been instrumental in developing systems that improve data processing and semantic matching.

Collaborations

Throughout his career, Meng has collaborated with notable colleagues such as Vitaly Abdrashitov and Gheorghe Muresan. These collaborations have further enriched his research and development efforts in the field.

Conclusion

Meng Meng's innovative contributions to machine learning and his impressive portfolio of patents highlight his role as a leading inventor in the technology sector. His work continues to influence advancements in data processing and machine learning applications.