Haiwei Liu

Title: Innovations by Inventor Haiwei Liu

Introduction

Haiwei Liu, an accomplished inventor based in Shandong, China, has made significant contributions to the field of image processing. With a total of four patents to his name, Liu has focused on developing advanced methods and apparatuses that enhance computational efficiency and accuracy in image processing tasks.

Latest Patents

Among his latest innovations is an image processing method, device, and apparatus that incorporate a unique approach to quantization. This method weights the first quantization threshold, derived from a saturated mapping technique, alongside the second threshold from an unsaturated mapping method. By fusing these two values, the optimal quantization threshold is achieved, which significantly retains effective information of activations. This innovation is particularly beneficial for deep neural networks operating on low-bit-width hardware platforms, as it improves the accuracy of inference computations.

Another notable patent by Liu involves a filtering method and system for parallel computing results. This invention changes the conventional serial filtering approach to a more efficient parallel computation of S fragments. By doing so, it drastically reduces computing time to one S-th of the original, thus enhancing processing efficiency and meeting the stringent timing requirements typical in parallel computation scenarios.

Career Highlights

Liu is currently employed by Inspur Electronic Information Industry Co., Ltd., a well-renowned company in the electronics sector. His work there exemplifies his dedication to leveraging technology to innovate in image processing and computing fields.

Collaborations

Throughout his career, Liu has collaborated with talented individuals such as Gang Dong and Hongbin Yang. Together, they have shared insights and expertise that contribute to their collective achievements in advancing computing technologies.

Conclusion

Haiwei Liu continues to be a driving force in the field of image processing through his innovative patents and collaborations. His work exemplifies how focusing on precision and efficiency can lead to breakthroughs in technology, enhancing the capabilities of machine learning and computing systems.