Yu-Jhe Li

Title: Yu-Jhe Li: Innovator in Neural Network Training

Introduction

Yu-Jhe Li is a prominent inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of neural networks, particularly in the area of object detection using advanced sensor technologies. His innovative approach combines radar and lidar sensors to enhance the performance of neural networks.

Latest Patents

Yu-Jhe Li holds a patent for a "System and method for training a neural network to perform object detection using lidar sensors and radar sensors." This method involves generating radar-based and lidar-based intensity maps, performing augmentation routines, and creating teacher-based and student-based bounding boxes. The process includes determining loss values and updating weights of both student and teacher neural networks to improve accuracy in object detection.

Career Highlights

Throughout his career, Yu-Jhe Li has worked with notable organizations such as Denso Corporation and Carnegie Mellon University. His experience in these institutions has allowed him to develop and refine his innovative techniques in neural network training.

Collaborations

Yu-Jhe Li has collaborated with talented individuals in his field, including Prasanna Sivakumar and Shawn T Hunt. These collaborations have contributed to the advancement of his research and the successful implementation of his patented technologies.

Conclusion

Yu-Jhe Li is a key figure in the development of neural network training methods, particularly in the context of object detection. His work continues to influence the field and pave the way for future innovations.