Location History:
- Heidelberg, DE (2020 - 2023)
- Hangzhou, CN (2023)
Company Filing History:
Years Active: 2020-2023
Title: Innovations and Contributions of Inventor Xiao He
Introduction
Xiao He is a prominent inventor based in Heidelberg, Germany. He has made significant contributions to the field of artificial intelligence and machine learning. With a total of 4 patents, his work focuses on developing advanced methods for scalable learning systems.
Latest Patents
Xiao He's latest patents include a "Method and system for scalable multi-task learning with convex clustering." This innovative method involves extracting features from a dataset of multiple tasks and generating a graph that represents linear learning models for each task. The process includes constraining the graph using convex clustering to create a convex cluster constrained graph, ultimately obtaining a global solution by minimizing a graph variable loss function. Another notable patent is "Continual learning of artificial intelligence systems based on bi-level optimization." This method provides a framework for continual learning in AI systems through bi-level optimization, which involves separately training the parameter and hyper-parameter parts of a neural network.
Career Highlights
Xiao He is currently employed at NEC Corporation, where he continues to push the boundaries of technology and innovation. His work has garnered attention for its practical applications in artificial intelligence and machine learning.
Collaborations
Xiao He collaborates with talented individuals such as Ammar Shaker and Francesco Alesiani, contributing to a dynamic and innovative work environment.
Conclusion
Xiao He is a distinguished inventor whose work in artificial intelligence and machine learning has led to significant advancements in the field. His innovative patents and collaborations highlight his commitment to pushing the boundaries of technology.