Jian Song

Title: Innovations of Jian Song

Introduction

Jian Song is an accomplished inventor based in Palaiseau, France. He has made significant contributions to the field of machine learning and wireless communication. With a total of 2 patents, his work focuses on enhancing the efficiency and effectiveness of communication networks.

Latest Patents

Jian Song's latest patents include a method, apparatus, and computer program for obtaining information for a machine learning-based function. This invention provides an apparatus at a first communication node that synchronizes a common reference timing with a second communication node. It also includes means for configuring a machine learning-based function and measuring performance metrics during specified time windows.

Another notable patent is related to the iterative initialization of machine-learning agent parameters in wireless communication networks. This invention involves a machine-learning orchestrator entity that facilitates distributed and efficient parameter initialization and updating for ML agents across network nodes. The orchestrator collects local sets of parameters from multiple nodes to derive a common set, ensuring optimal performance across the network.

Career Highlights

Jian Song has worked with prominent companies such as Nokia Solutions and Networks and Nokia Technologies. His experience in these organizations has allowed him to develop innovative solutions that address complex challenges in communication technology.

Collaborations

Throughout his career, Jian has collaborated with notable professionals, including Muhammad Majid Butt and István Zsolt Kovács. These collaborations have contributed to the advancement of his research and inventions.

Conclusion

Jian Song's contributions to machine learning and wireless communication are noteworthy. His innovative patents reflect his expertise and commitment to advancing technology in these fields.