Brunswick West, Australia

Vu Cong Duy Hoang


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovator Spotlight: Vu Cong Duy Hoang

Introduction:

Vu Cong Duy Hoang, an inventive mind based in Brunswick West, Australia, has made a noteworthy contribution to the field of technology with his patent related to neural networks. He demonstrates a keen understanding of advanced methodologies, particularly in training neural sequence-to-sequence models.

Latest Patents:

Vu Cong Duy Hoang holds a patent titled "Method and system for training neural sequence-to-sequence models by incorporating global features." This innovative approach involves a processor that receives a model along with training data, which consists of multiple training source sequences and their corresponding target sequences. The technology enables the processor to predict target sequences effectively, updating the model parameters based on a comparison of predicted and actual sequences. This method aims to minimize not only local losses but also incorporates global semantic features, ensuring a robust training mechanism for neural networks.

Career Highlights:

Currently, Vu Cong Duy Hoang is associated with Naver Corporation, where he leverages his expertise in artificial intelligence and machine learning. His profound knowledge and innovative thinking largely contribute to advancing the projects he undertakes within the organization.

Collaborations:

Vu has collaborated with notable colleagues in his field, including Ioan Calapodescu and Marc Dymetman. Their collective efforts embody the spirit of innovation and teamwork, contributing significantly to their shared projects and advancements in technology.

Conclusion:

Vu Cong Duy Hoang exemplifies the spirit of innovation in the realm of artificial intelligence. His contributions not only reflect his individual talent but also highlight the importance of collaboration in fostering advancements within the industry. Through his patent and ongoing work, he continues to pave the way for future developments in neural network training methodologies.

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