Haikun Liu

Title: Haikun Liu: Innovator in Deep Learning and Storage Systems

Introduction

Haikun Liu is a prominent inventor based in Hubei, China. He has made significant contributions to the fields of deep learning and storage systems. With a total of 5 patents to his name, Liu's work is recognized for its innovative approaches and practical applications.

Latest Patents

One of Liu's latest patents is titled "Deep learning heterogeneous computing method based on layer-wide memory allocation and system thereof." This invention outlines a method for traversing a neural network model to acquire a training operational sequence and the number of layers involved. It includes steps for calculating the memory required for operations at each layer, altering layer structures, and distributing data across CPU and GPU memory for efficient neural network training.

Another notable patent is the "Scalable in-memory object storage system using hybrid memory devices." This invention focuses on a storage system designed for scalable storage of in-memory objects utilizing DRAM-NVM hybrid memory devices. This technology aims to enhance the efficiency and capacity of data storage solutions.

Career Highlights

Haikun Liu has worked with esteemed organizations such as Huazhong University of Science and Technology and Huawei Technologies Co., Limited. His experience in these institutions has allowed him to develop and refine his innovative ideas in technology and research.

Collaborations

Liu has collaborated with notable colleagues, including Xiaofei Liao and Hai Jin. Their joint efforts have contributed to advancements in their respective fields and have fostered a collaborative environment for innovation.

Conclusion

Haikun Liu stands out as a significant figure in the realm of technology and innovation. His contributions to deep learning and storage systems reflect his commitment to advancing these fields. His patents not only showcase his inventive spirit but also promise to impact future technological developments.