Charlotte, NC, United States of America

Linwei Hu

This inventor holds 3 USPTO granted patents and 4 published patent applications. Top assignee: Wells Fargo Bank, N.A.. Active years: 2023-2026.

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 4.8

ph-index = 1


Company Filing History:


Years Active: 2023-2026

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3 patents (USPTO):Explore Patents

Title: Linwei Hu: Innovator in Machine Learning Applications

Introduction

Linwei Hu is a prominent inventor based in Charlotte, NC (US), known for his contributions to the field of machine learning. He holds a total of 3 patents that showcase his innovative approach to complex algorithms and data structures. His work has significantly advanced the understanding and application of machine learning technologies.

Latest Patents

One of Linwei Hu's latest patents is titled "Using model-based trees with boosting to fit low-order functional anova models." This patent describes systems, apparatuses, methods, and computer program products for training a GAMI-Tree model. The method involves initializing an iterative prediction model and performing a required number of model training iterations. Each iteration includes performing main-effect gradient boosting iterations, generating qualified input feature pairs, and conducting interaction-effect gradient boosting iterations. The final output is a GAMI-Tree model based on the iterative prediction model generated during the last training iteration.

Another significant patent is "Resolving opaqueness of complex machine learning applications." This patent discloses computing systems and technical methods that transform data structures to address opacity issues associated with complex machine learning algorithms. The advancements include a framework that features global diagnostics, locally interpretable models, and explainable neural networks.

Career Highlights

Linwei Hu is currently employed at Wells Fargo Bank, N.A., where he applies his expertise in machine learning to enhance the bank's technological capabilities. His innovative work has positioned him as a key player in the intersection of finance and technology.

Collaborations

Linwei has collaborated with notable colleagues such as Jie Chen and Vijayan Narayana Nair, contributing to various projects that leverage machine learning for practical applications.

Conclusion

Linwei Hu's contributions to machine learning and his innovative patents reflect his commitment to advancing technology in meaningful ways. His work continues to influence the field and inspire future innovations.

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