Yan Luo

Title: Yan Luo - Innovator in Transaction Composition Graph Node Embedding

Introduction

Yan Luo is an accomplished inventor based in Concord, CA. He has made significant contributions to the field of computer science, particularly in the area of transaction composition graph node embedding. His innovative work has led to the development of a unique patent that enhances data processing and analysis.

Latest Patents

Yan Luo holds a patent for a process titled "Transaction composition graph node embedding." This computer-implemented process involves traversing a data flow of transactions to convert a full graph into multiple directed acyclic subgraphs or paths in spanning trees. The method takes one-by-one nodes as input to a predetermined neural network, generating a set of one-hot vectors for all nodes. It computes an embedding vector from a corresponding one-hot vector, calculates the probability that an output node is nearby, and embeds the node to a latent feature vector. This innovative approach has the potential to improve the efficiency of data handling in various applications.

Career Highlights

Yan Luo is currently employed at International Business Machines Corporation (IBM), where he continues to push the boundaries of technology and innovation. His work at IBM allows him to collaborate with some of the brightest minds in the industry, contributing to groundbreaking advancements in computer science.

Collaborations

Throughout his career, Yan has worked alongside talented colleagues, including Liujia Shao and Yan Xu. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of innovative solutions.

Conclusion

In summary, Yan Luo is a notable inventor whose work in transaction composition graph node embedding exemplifies the intersection of technology and innovation. His contributions to IBM and the field of computer science are paving the way for future advancements.