Lianghui Chen

Title: Innovations of Lianghui Chen

Introduction

Lianghui Chen is a notable inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence, particularly in federated learning and item recommendation systems. With a total of 4 patents, his work has garnered attention for its innovative approaches to improving efficiency and user experience.

Latest Patents

One of Lianghui Chen's latest patents is titled "Federated learning for improving matching efficiency." This method involves sending a data field required for federated learning to a coordinator when the number of data providers exceeds a certain threshold. The coordinator, which comprises a computer, then provides information about the data providers that contain the required data field. This process allows for effective federated learning-based modeling with the remaining data providers.

Another significant patent is the "Method, electronic device and storage medium for item recommendation." This invention relates to artificial intelligence and involves creating an item feature expression database using a pre-trained user-clicking-item task model. It also includes obtaining a user's feature expression and recommending relevant items based on identifiers derived from the database.

Career Highlights

Lianghui Chen has worked with prominent companies, including Beijing Baidu Netcom Science and Technology Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas in technology and artificial intelligence.

Collaborations

Some of Lianghui Chen's notable coworkers include Yan Fu and Jun Fang. Their collaboration has likely contributed to the development of his patents and innovations.

Conclusion

Lianghui Chen's work exemplifies the spirit of innovation in artificial intelligence. His patents reflect a commitment to enhancing technology and improving user experiences through advanced methodologies.