Beijing, China

Yurong Chen

Average Co-Inventor Count = 3.6

ph-index = 5

Forward Citations = 500(Granted Patents)

Forward Citations (Not Self Cited) = 351(Sep 21, 2024)

DiyaCoin DiyaCoin 0.95 

Inventors with similar research interests:



Years Active: 2011-2025

where 'Filed Patents' based on already Granted Patents

68 patents (USPTO):

Title: Yurong Chen - Innovator in Neural Networks

Introduction

Yurong Chen is a prominent inventor based in Beijing, China, with an impressive record of 66 patents to his name. His work primarily focuses on advancements in deep learning and neural network technologies, which are crucial in the ever-evolving field of artificial intelligence.

Latest Patents

Yurong Chen's latest patents include innovative methods and systems for budgeted and simplified training of deep neural networks. These techniques involve using training sub-images derived from down-sampled training images, enabling more efficient training processes. Additionally, his work highlights the implementation of hard and soft attention mechanisms within recurrent deep Q-networks. This allows for enhanced feature mapping and action value calculations, improving the performance of neural networks.

Another notable patent addresses the need for efficient neural networks with elaborate matrix structures in machine learning environments. This innovation details a method for slimming neural networks by analyzing channel relevance and pruning channels that exhibit low significance. Such advancements are essential for optimizing machine learning applications and enhancing computational efficiency.

Career Highlights

Yurong Chen is currently affiliated with Intel Corporation, where he continues to push the boundaries of neural network technology. His contributions to the field have placed him at the forefront of artificial intelligence research and development, significantly impacting how deep learning models are constructed and utilized.

Collaborations

Throughout his career, Yurong has collaborated with several notable individuals, including Anbang Yao and Jianguo Li. These partnerships have fostered an environment of innovation, allowing for the cross-pollination of ideas and the development of cutting-edge technologies in neural networks.

Conclusion

Yurong Chen's dedication to enhancing deep learning methodologies illustrates the critical role of innovative patents in the technology sector. With 66 patents reflecting his expertise and creativity, he continues to contribute significantly to advancements in neural network frameworks at Intel Corporation. As the field of artificial intelligence grows, inventors like Yurong play a vital role in shaping its future.

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