Fangcheng Fu

Title: Innovations and Contributions of Inventor Fangcheng Fu

Introduction

Fangcheng Fu is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of technology, particularly in the development of advanced neural network models and decision tree training systems. With a total of 5 patents to his name, his work continues to influence the landscape of artificial intelligence and machine learning.

Latest Patents

Fangcheng Fu's latest patents include a "Training method, apparatus, and device for federated neural network model, computer program product, and computer-readable storage medium." This invention outlines a comprehensive method for training a federated neural network model, which involves performing forward computation processing and back propagation to update model parameters effectively. Another notable patent is the "Training method and system for decision tree model, storage medium, and prediction method." This application describes a method for training a decision tree model using a training system that includes multiple processing subnodes, enhancing the efficiency of the training process.

Career Highlights

Fangcheng Fu has worked with notable companies such as Tencent Technology (Shenzhen) Company Limited and Tencent Technology Company Limited. His experience in these organizations has allowed him to collaborate on various innovative projects, furthering his expertise in technology and research.

Collaborations

Fangcheng has collaborated with talented individuals in his field, including Yong Cheng and Yangyu Tao. These partnerships have contributed to the successful development of his patents and innovations.

Conclusion

Fangcheng Fu's contributions to technology through his patents and collaborations highlight his role as a leading inventor in the field of artificial intelligence. His work continues to pave the way for future advancements in neural networks and decision-making systems.