Wenqi Li

Title: The Innovations of Wenqi Li

Introduction

Wenqi Li is a prominent inventor based in London, GB. She has made significant contributions to the field of machine learning and neural networks, holding a total of 4 patents. Her work focuses on enhancing the capabilities of supervised learning and federated learning techniques.

Latest Patents

Wenqi Li's latest patents include innovative technologies such as "Extending supervision using machine learning," which involves apparatuses, systems, and techniques to generate labeled training data. In this patent, labeled training images are generated from medical images annotated with natural language text. Another notable patent is related to "Neural network trained using federated learning with local training data preserved at local edge circuits." This invention outlines methods for performing federated training of neural networks while maintaining control over the dissemination of local models, ensuring that aspects of local training data remain secure.

Career Highlights

Throughout her career, Wenqi Li has worked with esteemed organizations such as Nvidia Corporation and King's College London. Her experience in these institutions has allowed her to develop cutting-edge technologies that push the boundaries of machine learning.

Collaborations

Wenqi has collaborated with notable colleagues, including Daguang Xu and Fausto Milletari, who have contributed to her research and development efforts.

Conclusion

Wenqi Li's innovative work in machine learning and neural networks showcases her expertise and commitment to advancing technology. Her patents reflect her dedication to creating systems that enhance data security and improve training methodologies.