Company Filing History:
Years Active: 2022-2024
Title: Innovations of Xiaobo Dong
Introduction
Xiaobo Dong is a notable inventor based in Champaign, IL (US). He has made significant contributions to the field of technology, particularly in the areas of machine learning and recommendation systems. With a total of 3 patents, his work continues to influence advancements in these domains.
Latest Patents
Xiaobo Dong's latest patents include a system, method, and computer program product for incorporating knowledge from more complex models in simpler models. This innovative method involves obtaining first training data associated with a first set of features and second training data associated with a second set of features that differ from the first. The process includes training a first model based on both sets of training data and a second model using a loss function that relies on outputs from the first model's intermediate layer and the second model.
Another significant patent is focused on methods and systems for graph-based cross-domain restaurant recommendation. This method accesses transaction data related to restaurants across various geographically separate locations. It determines the number of co-visitors shared by each restaurant above a predetermined threshold and generates a graphical representation based on these co-visitors and the distances between restaurants. This graphical representation is then transformed into restaurant embeddings, which a neural network model uses to generate restaurant preferences.
Career Highlights
Xiaobo Dong is currently employed at Visa International Service Association, where he applies his expertise in technology and innovation. His work at Visa has allowed him to explore various applications of his inventions in real-world scenarios.
Collaborations
Some of his notable coworkers include Liang Wang and Wei Zhang, who have collaborated with him on various projects and innovations.
Conclusion
Xiaobo Dong's contributions to technology through his patents and work at Visa International Service Association highlight his role as a leading inventor in the field. His innovative approaches continue to shape advancements in machine learning and recommendation systems.