Zhihong Pan

Title: Innovations of Zhihong Pan

Introduction

Zhihong Pan is a prominent inventor based in San Jose, California. He has made significant contributions to the field of technology, particularly in neural architecture search and image processing. With a total of nine patents to his name, his work continues to influence advancements in these areas.

Latest Patents

One of his latest patents is titled "Neural architecture search via similarity-based operator ranking." This innovation addresses the challenges associated with supernet-based differentiable approaches in network architecture search (NAS). It presents an effective methodology that utilizes similarity-based operator ranking to alleviate issues related to weight sharing and operator coupling effects. Another notable patent is for "Systems and methods for adjustable image rescaling." This invention focuses on generating super-resolution imagery from low-resolution images by employing a trained invertible rescaling network (IRNN). The system allows for a trade-off between low distortion and high perceptual quality in the generated images.

Career Highlights

Zhihong Pan has worked with notable companies such as Baidu USA LLC and Galileo Group, Inc. His experience in these organizations has contributed to his expertise and the development of his innovative patents.

Collaborations

He has collaborated with professionals like Donald Michael Barnes and James Michael Grichnik, further enhancing his work through shared knowledge and expertise.

Conclusion

Zhihong Pan's contributions to technology through his patents and collaborations highlight his role as an influential inventor in the field. His work continues to pave the way for future innovations in neural architecture and image processing.