Jingshuo Liu

Title: Jingshuo Liu: Innovator in Vision-Language Models for Autonomous Driving

Introduction

Jingshuo Liu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of autonomous driving through his innovative work on vision-language models. His expertise in this area has led to the development of a unique patent that enhances the capabilities of autonomous vehicles.

Latest Patents

Jingshuo Liu holds a patent for an "Incremental learning method and apparatus for large vision-language model for autonomous driving." This patent describes an incremental learning method that includes expanding a first training sample set to obtain a second training sample set. The second training sample set comprises a plurality of image samples annotated with road scene targets. The method involves inserting fine-tuning sub-networks into specified positions in a first large Vision-Language Model to generate a second large Vision-Language Model. The image samples in the second training sample set are processed using this model to obtain target prediction results. The process also includes calculating a loss value and updating parameters of the fine-tuning sub-networks while preserving the parameters of the first large Vision-Language Model unchanged. This innovative approach significantly enhances the learning capabilities of autonomous driving systems.

Career Highlights

Jingshuo Liu is affiliated with the Beijing University of Chemical Technology, where he continues to advance research in the field of autonomous driving and machine learning. His work has garnered attention for its practical applications and potential to improve safety and efficiency in autonomous vehicles.

Collaborations

Jingshuo Liu collaborates with notable colleagues, including Zhiwei Li and Peiran Chen. Their combined expertise contributes to the ongoing research and development of advanced technologies in the field.

Conclusion

Jingshuo Liu's innovative contributions to vision-language models for autonomous driving demonstrate his commitment to advancing technology in this critical area. His patent and ongoing research efforts are paving the way for safer and more efficient autonomous driving solutions.