This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Beijing Baidu Netcom Science Technology Co., Ltd.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Yuxiang Lu: Innovator in Neural Network Pre-training
Introduction
Yuxiang Lu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence, particularly in the development of neural network models. His innovative approach to pre-training neural networks has garnered attention in the tech community.
Latest Patents
Yuxiang Lu holds a patent for a "Pre-training method of neural network model, electronic device and medium." This invention involves a pre-training method where pre-training data is inputted into an initial neural network model. The model is pre-trained in a first training mode, where multiple hidden layers share one hidden layer parameter. The loss value of the model is evaluated, and if it is below a preset threshold, the model continues to be pre-trained in a second training mode, allowing each hidden layer to have its own parameters. This innovative method enhances the efficiency and effectiveness of neural network training.
Career Highlights
Yuxiang Lu is associated with Beijing Baidu Netcom Science Technology Co., Ltd., a leading technology company in China. His work at Baidu has positioned him as a key player in advancing AI technologies. His contributions have not only improved neural network training processes but have also paved the way for further innovations in the field.
Collaborations
Yuxiang Lu has collaborated with notable colleagues, including Jiaxiang Liu and Xuyi Chen. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.
Conclusion
Yuxiang Lu's work in neural network pre-training represents a significant advancement in artificial intelligence. His innovative methods and collaborations continue to influence the field, showcasing the importance of research and development in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile