Jianming Zheng

Title: Innovations of Jianming Zheng

Introduction

Jianming Zheng is a notable inventor based in Hunan, China. He has made significant contributions to the field of technology, particularly in relation to few-shot learning and event detection models. With a total of 3 patents, his work showcases innovative methods and apparatuses that enhance machine learning capabilities.

Latest Patents

Zheng's latest patents include a method and apparatus for few-shot relation classification and filtering. This invention involves constructing a coarse-grained filter to identify candidate instances that share the same entity as a seed instance, as well as a fine-grained filter to refine these candidates based on relation concepts. Additionally, he has developed a method and apparatus for training a few-shot event detection model based on multilingual prompt learning. This invention utilizes a multilingual prompt model to optimize event detection through various learning techniques.

Career Highlights

Jianming Zheng is affiliated with the National University of Defense Technology, where he continues to push the boundaries of research and innovation. His work is instrumental in advancing the understanding and application of few-shot learning in various contexts.

Collaborations

Zheng collaborates with esteemed colleagues such as Fei Cai and Honghui Chen, contributing to a dynamic research environment that fosters innovation and development.

Conclusion

Jianming Zheng's contributions to the field of technology through his patents and research at the National University of Defense Technology highlight his role as a leading inventor in few-shot learning and event detection. His work continues to influence advancements in machine learning and artificial intelligence.