Jin Yang

Title: Innovations of Jin Yang: A Pioneer in Neural Network Processing

Introduction

Jin Yang is an accomplished inventor based in Bridgewater, NJ (US), known for his significant contributions to the field of neural network processing. With a total of 15 patents to his name, he has made remarkable strides in technology that enhance wireless communications and deep learning applications.

Latest Patents

One of Jin Yang's latest patents is the "Diffractive deep neural network (D2NN) processing using a single modulation layer." This innovative apparatus includes a first mirror, a second mirror, a modulation layer with multiple regions, and a diffraction layer. The design allows a light beam to be modulated multiple times, enhancing the processing capabilities of neural networks. Another notable patent is focused on "Automatically optimizing parameters via machine learning." This technology aims to configure parameters in wireless communications networks by analyzing data samples to improve key quality indicators (KQI) and key performance indicators (KPI). The use of machine learning in this context allows for more efficient network optimization.

Career Highlights

Jin Yang has worked with prominent companies such as Future Wei Technologies, Inc. and Huawei Technologies Co., Limited. His experience in these organizations has contributed to his expertise in developing cutting-edge technologies that push the boundaries of current capabilities in wireless communications and deep learning.

Collaborations

Throughout his career, Jin Yang has collaborated with talented individuals, including Yongxi Tan and Baoling S Sheen, who have contributed to his innovative projects and research endeavors.

Conclusion

Jin Yang's work exemplifies the spirit of innovation in technology, particularly in neural network processing and wireless communications. His patents reflect a commitment to advancing the field and improving the efficiency of modern technologies.