Hang Lu

Title: Innovations of Inventor Hang Lu

Introduction

Hang Lu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in computing methods and systems. With a total of 4 patents, his work reflects a deep understanding of complex algorithms and network systems.

Latest Patents

One of Hang Lu's latest patents is a "Convolutional neural network computing method and system based on weight kneading." This invention involves arranging original weights in a computation sequence and aligning them by bit to create a weight matrix. The method includes removing slack bits, filling vacancies in the matrix, and processing summation of weight segments to obtain an output feature map through a shift-and-add execution.

Another notable patent is the "Method, apparatus, and network-on-chip for task allocation based on predicted traffic in an extended area." This method addresses the allocation of multiple threads in a network-on-chip formed by a multi-core processor. It determines the number of threads in a task and allocates them to idle processor cores while avoiding issues such as large hardware overheads and low system utilization.

Career Highlights

Hang Lu has worked with notable organizations such as Huawei Technologies Co., Limited and the Chinese Academy of Sciences. His experience in these companies has allowed him to develop and refine his innovative ideas in technology.

Collaborations

Some of Hang Lu's coworkers include Xiaowei Li and Yinhe Han, who have collaborated with him on various projects. Their teamwork has contributed to the advancement of technology in their respective fields.

Conclusion

Hang Lu's innovative contributions to computing methods and systems demonstrate his expertise and commitment to advancing technology. His patents reflect a blend of creativity and technical skill that continues to influence the industry.