Peihong Li

Title: Peihong Li: Innovator in Few-Shot Learning Technologies

Introduction

Peihong Li is a prominent inventor based in Hunan, China. He has made significant contributions to the field of artificial intelligence, particularly in few-shot learning technologies. With a total of 2 patents, his work focuses on enhancing machine learning models to improve their efficiency and accuracy.

Latest Patents

Peihong Li's latest patents include innovative methods and apparatuses for few-shot relation classification and filtering. The first patent outlines a method that constructs a coarse-grained filter to identify candidate instances with similar semantics to a seed instance. It also details a fine-grained filter to refine these candidates into a positive instance set, while a false positive instance correction module is introduced to optimize classifier training. The second patent focuses on training a few-shot event detection model using multilingual prompt learning. This method involves acquiring a training dataset and applying a multilingual prompt model to predict event tags, thereby enhancing the model's performance through contrastive learning techniques.

Career Highlights

Peihong Li is affiliated with the National University of Defense Technology, where he continues to advance research in artificial intelligence. His work has garnered attention for its practical applications in various fields, including natural language processing and machine learning.

Collaborations

Peihong Li has collaborated with notable colleagues such as Fei Cai and Siyuan Wang. Their joint efforts contribute to the ongoing development of innovative technologies in the realm of artificial intelligence.

Conclusion

Peihong Li stands out as a key figure in the field of few-shot learning, with his patents reflecting a commitment to advancing machine learning methodologies. His contributions are paving the way for more efficient AI systems that can learn from limited data.