Shanghai, China

Haibing Guan

USPTO Granted Patents = 13 

Average Co-Inventor Count = 4.4

ph-index = 3

Forward Citations = 22(Granted Patents)


Company Filing History:


Years Active: 2016-2023

where 'Filed Patents' based on already Granted Patents

13 patents (USPTO):

Title: Innovator Spotlight: Haibing Guan - Revolutionizing Deep Learning and Virtual Symmetric Multiprocessing

Introduction:

Haibing Guan, a visionary inventor hailing from Shanghai, China, has made significant contributions to the fields of deep learning and virtual symmetric multiprocessing. With an impressive portfolio of 13 patents, Guan's groundbreaking work is reshaping the landscape of computational science.

Latest Patents:

Guan's latest patents include a Hierarchical Highly Heterogeneous Distributed System Based Deep Learning Application Optimization Framework. This innovation focuses on enhancing the performance of deep learning applications through a novel system architecture that optimizes task assignment and data privacy protection. Additionally, his Comprehensive Scheduling Method and Device for Problem of Interruptability Holder Preemption addresses a critical issue in interrupt remapping mechanisms, significantly improving I/O performance in virtual machines.

Career Highlights:

Guan's illustrious career includes notable stints at prestigious institutions such as Shanghai Jiaotong University and Huawei Technologies Co., Limited. His expertise and innovative spirit have propelled him to the forefront of technological advancement, where his work continues to inspire and influence the next generation of inventors and researchers.

Collaborations:

Throughout his career, Guan has collaborated closely with esteemed professionals in the field, including Ruhui Ma and Jian Li. Together, they have leveraged their collective expertise to tackle complex challenges and drive innovation in the realms of deep learning and virtual multiprocessing.

Conclusion:

Haibing Guan stands as a beacon of innovation, whose pioneering work in deep learning and virtual symmetric multiprocessing has left an indelible mark on the industry. His relentless pursuit of excellence and unwavering commitment to pushing the boundaries of technological possibility make him a true trailblazer in the world of computational science.

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