Li Wang

Title: Innovations and Contributions of Inventor Li Wang

Introduction

Li Wang is a prominent inventor based in Suzhou, China, known for his significant contributions to the field of wireless power transmission and deep learning technologies. With a total of 10 patents to his name, Wang has made remarkable strides in enhancing the efficiency and safety of electronic device charging.

Latest Patents

Among his latest patents, one notable invention is the "Closed loop power loss control of wireless power transmission." This innovation focuses on optimizing power loss during the wireless charging process of electronic devices. By determining the power loss associated with transmitting a power signal, Wang's method ensures that a target transmit power is outputted to meet a power loss limit, thereby balancing charging performance and safety.

Another significant patent is the "NGraph-based GPU backend distributed training method and system." This invention addresses the urgent need for efficient neural network distributed training using an nGraph GPU backend. The method involves receiving a training request, obtaining training data, and utilizing Nvidia's Collective multi-GPU Communication Library (NCCL) to perform GPU backend training, ultimately improving the performance of deep learning network training.

Career Highlights

Li Wang has worked with notable companies such as NXP USA, Inc. and Inspur Suzhou Intelligent Technology Co., Ltd. His experience in these organizations has contributed to his expertise in wireless technologies and deep learning systems.

Collaborations

Throughout his career, Wang has collaborated with talented individuals, including Dechang Wang and Huan Mao, who have contributed to his projects and innovations.

Conclusion

Li Wang's innovative patents and career achievements highlight his significant impact on the fields of wireless power transmission and deep learning technologies. His work continues to influence advancements in electronic device charging and neural network training.