This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Lanzhou University. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Jiaqi He in Dust Identification Technology
Introduction
Jiaqi He is an innovative inventor based in Lanzhou, China. He has made significant contributions to the field of dust identification through his research and development efforts. His work focuses on utilizing advanced neural network techniques to enhance the accuracy and efficiency of dust detection.
Latest Patents
Jiaqi He holds a patent titled "Method and device for dust identification utilizing multimodal neural network, and storage device." This patent describes a comprehensive method for dust identification that includes several key steps. The process begins with the collection of multi-source data related to dust. This data is then preprocessed to obtain a refined dataset. Following this, a training set is constructed for a dust identification model using the processed data. The model itself consists of a backbone network, an output network, and a fusion network. The dust identification model is trained based on the training set to produce a final model, which is then used to identify dust. This innovative method significantly improves both the speed and accuracy of dust identification, while also enhancing the continuity of the identification process. Jiaqi He has 1 patent to his name.
Career Highlights
Jiaqi He is affiliated with Lanzhou University, where he continues to advance his research in dust identification technologies. His work has garnered attention for its practical applications in environmental monitoring and public health.
Collaborations
Jiaqi He collaborates with notable colleagues, including Siyu Chen and Shikang Du, who contribute to his research initiatives.
Conclusion
Jiaqi He's innovative approach to dust identification through multimodal neural networks represents a significant advancement in the field. His contributions are poised to have a lasting impact on environmental monitoring and related applications.