Meng Ye

Title: Innovations of Meng Ye in Cross-Domain Learning

Introduction

Meng Ye is an accomplished inventor based in Lawrenceville, NJ (US). He has made significant contributions to the field of machine learning, particularly in the area of cross-domain few-shot learning. His innovative approach has the potential to enhance the adaptability of pre-trained networks across various datasets.

Latest Patents

Meng Ye holds a patent titled "Modular adaptation for cross-domain few-shot learning." This patent describes a method, apparatus, and system for adapting a pre-trained network for application to a different dataset. The process involves arranging at least two different types of active adaptation modules in a pipeline configuration. The output of one module serves as the input for the next, allowing for the processing of adapted network data until the final module is reached. Each module can be activated or deactivated, and specific hyperparameters are determined and applied to optimize the processing of data from the pre-trained network. Meng Ye has 1 patent to his name.

Career Highlights

Meng Ye is currently employed at SRI International, where he continues to push the boundaries of innovation in machine learning. His work focuses on developing systems that improve the efficiency and effectiveness of data processing in various applications. His expertise in this domain has positioned him as a valuable asset to his organization.

Collaborations

Meng Ye collaborates with talented colleagues, including Xiao Lin and Yunye Gong. Together, they work on advancing technologies that leverage machine learning for practical applications.

Conclusion

Meng Ye's contributions to the field of cross-domain few-shot learning exemplify the innovative spirit of modern inventors. His work not only enhances the adaptability of machine learning systems but also paves the way for future advancements in the field.