Beijing, China

Weichong Yin

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Weichong Yin - Innovator in Multi-modal Pre-training Models

Introduction

Weichong Yin is a distinguished inventor based in Beijing, China. He has made significant contributions to the fields of deep learning and natural language processing, as reflected in his innovative work. With a focus on advancing technology through research and development, Weichong has developed solutions that enhance machine understanding and processing of information.

Latest Patents

Weichong Yin holds a patent for a "Multi-modal pre-training model acquisition method, electronic device, and storage medium." This invention pertains to the fields of deep learning and natural language processing. The method involves determining fine-grained semantic words in text for each image-text pair used as training data. It includes the steps of masking these words and training the multi-modal pre-training model with masked fine-grained semantic words to improve the model's performance.

Career Highlights

Currently, Weichong Yin is employed at Beijing Baidu Netcom Science and Technology Co., Ltd., where he continues to work on cutting-edge technology solutions. His role contributes to the company's innovative initiatives in AI and machine learning, further establishing his reputation as an influential figure in the tech industry.

Collaborations

Throughout his career, Weichong has collaborated with notable colleagues such as Fei Yu and Jiji Tang. Together, they have focused on pushing the boundaries of artificial intelligence and developing robust systems that can effectively interpret and process multimodal data.

Conclusion

Weichong Yin exemplifies the spirit of innovation through his contributions to deep learning and natural language processing. With his patent and work at Baidu, he plays a vital role in enhancing technological advancements that shape the future of AI. His collaborations further underscore the impact of teamwork in driving successful innovations.

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