This inventor holds 1 USPTO granted patent. Top assignee: Jinan University. Active years: 2024.
Company Filing History:
Years Active: 2024
Title: Innovations of Kailun Yan in Neural Network Technology
Introduction
Kailun Yan is a prominent inventor based in Guangzhou, China. He has made significant contributions to the field of neural networks, particularly through his innovative patent. His work focuses on enhancing the efficiency and effectiveness of neural network models.
Latest Patents
Kailun Yan holds a patent for a "Neural network model update method and device, and computer storage medium." This patent discloses a method that includes randomly generating a preset number of sub-neural network models as nodes in a blockchain. The process involves using a ring signature to share a local data set in the blockchain, uniformly dividing the data set to create training and test sets, and training each node to generate a trained model. The trained model is then packaged as a model transaction and shared in the blockchain. The method also includes testing the model transaction using a selected test set and updating all nodes based on the test results.
Career Highlights
Kailun Yan is affiliated with Jinan University, where he continues to advance his research in neural networks. His innovative approach to integrating blockchain technology with neural networks showcases his commitment to pushing the boundaries of technology.
Collaborations
Kailun Yan has collaborated with notable colleagues, including Yongdong Wu and Jilian Zhang. Their combined expertise contributes to the advancement of research in their respective fields.
Conclusion
Kailun Yan's contributions to neural network technology through his innovative patent reflect his dedication to advancing the field. His work not only enhances the functionality of neural networks but also integrates modern technologies like blockchain, paving the way for future innovations.
