Beijing, China

Yuanhao Xiao

USPTO Granted Patents = 6 

Average Co-Inventor Count = 8.2

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2019-2023

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Innovator Yuanhao Xiao: Pioneering Advances in Deep Learning

Introduction

Yuanhao Xiao, based in Beijing, China, is an accomplished inventor with a remarkable portfolio of 6 patents. His work primarily focuses on advancing the efficiency of deep learning technologies, making significant contributions to the field that have far-reaching implications for various applications.

Latest Patents

Yuanhao's latest innovations include two notable patents that enhance the capabilities of deep learning frameworks. The first patent, a "Method and apparatus for scheduling resource for deep learning framework," details a technique for automating resource allocation and management for deep learning training tasks. This method employs a Kubernetes platform to streamline the scheduling of physical machines, enhancing the efficiency of training processes.

The second patent, titled "Method and apparatus for updating deep learning model," outlines a systematic approach to model updating. This method leverages a training dataset to refine existing deep learning models by executing a series of training iterations. It boosts the model updating efficiency through a structured process that allows continuous improvement based on the specified training threshold.

Career Highlights

Yuanhao Xiao is associated with Beijing Baidu Netcom Science and Technology Co., Ltd., a leading tech company in China known for its innovations in internet services and artificial intelligence. His work plays a pivotal role in the advancement of the company's deep learning initiatives, positioning Baidu as a leader in AI research and deployment.

Collaborations

In his journey as an inventor, Yuanhao has collaborated with talented colleagues, including Kai Zhou and Faen Zhang. Together, they contribute to groundbreaking research and development in the field of AI, fostering a collaborative environment that stimulates innovation and creativity.

Conclusion

With his impressive array of patents and innovative spirit, Yuanhao Xiao represents the forefront of research in deep learning technology. His contributions are paving the way for more advanced applications and methodologies in the field, highlighting the impact of dedicated inventors in shaping the future of technology.

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