Toronto, Canada

Yanshuai Cao

This inventor holds 18 USPTO granted patents and 8 published patent applications, plus 3 CIPO patents. Top assignee: Royal Bank of Canada. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yanshuai Cao. Retrieved from https://idiyas.com/inventor/yanshuai-cao

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 18 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.2

ph-index = 3

Forward Citations = 40(Granted Patents)


Location History:

  • Montreal, CA (2023)
  • Toronto, CA (2020 - 2024)

Company Filing History:


Years Active: 2020-2026

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18 patents (USPTO):Explore Patents

Title: The Innovations of Yanshuai Cao: A Pioneer in Neural Networks and Machine Learning

Introduction: Yanshuai Cao, a prominent inventor based in Toronto, Canada, has made significant contributions to the field of machine learning and artificial intelligence with an impressive portfolio of 16 patents. As a vital member of the Royal Bank of Canada, he has been at the forefront of developing innovative systems and methods that enhance the capabilities of neural networks.

Latest Patents: Among his latest inventions are groundbreaking patents that focus on improving neural network training and developing machine learning architectures for partially-observed multimodal data. The first patent introduces a system and method for improved neural network training, which leverages a Generative Adversarial Network (GAN) to learn from unlabeled data. This electronic device includes a processor and memory for training the GAN, utilizing a regularizer that encourages the discriminator to effectively utilize its hidden representations.

His second notable patent addresses the challenges faced when working with Variational Autoencoders (VAEs). This invention proposes a modified VAE framework capable of learning from partially-observed data, conditioned on the fully-observed mask. This novel approach allows for a better understanding and analysis of both high-dimensional multimodal data and low-dimensional tabular data.

Career Highlights: Yanshuai Cao has established himself as a key figure in the field of artificial intelligence through his innovative approaches. His work at the Royal Bank of Canada has allowed him to apply theoretical knowledge to practical applications, leading to substantial advancements in machine learning technologies.

Collaborations: Throughout his career, Yanshuai has collaborated with talented colleagues such as Yik Chau Lui and Luyu Wang. Their combined expertise has fostered an environment of creativity and innovation, allowing for the successful development of their pioneering technologies.

Conclusion: Yanshuai Cao’s contributions to the field of machine learning and artificial intelligence demonstrate the power of innovation in solving complex problems. With a total of 16 patents and ongoing projects, his work continues to impact the industry and push the boundaries of what is possible in technology. As the landscape of machine learning evolves, inventors like Yanshuai play a crucial role in shaping its future.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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