Company Filing History:
Years Active: 2020-2025
Title: Yik Chau Lui: Innovator in Neural Network Technologies
Introduction
Yik Chau Lui is a prominent inventor based in Toronto, Canada. He has made significant contributions to the field of neural networks, holding a total of 8 patents. His innovative work focuses on improving predictive models and training methodologies in artificial intelligence.
Latest Patents
One of his latest patents is the "K-LSTM architecture for purchase prediction." This system receives transaction data over time and creates structured data based on the received transaction data. It identifies purchase transactions associated with a purchase category and labels them accordingly. A recurrent neural network, specifically a long short-term memory (LSTM) network, is trained using a k-LSTM architecture that employs weighted averages to update hidden states and cell states. This model predicts the likelihood of a purchase transaction effectively.
Another notable patent is the "System and method for improved neural network training." This invention includes an electronic device with a processor and memory that stores a Generative Adversarial Network (GAN). The GAN learns from unlabeled data by engaging a generative model in an adversarial game with a discriminator. The system is designed to train the GAN using a regularizer, encouraging the discriminator to utilize its capacity effectively and maintain high entropy in its hidden representations.
Career Highlights
Yik Chau Lui is currently employed at the Royal Bank of Canada, where he applies his expertise in neural networks to enhance financial technologies. His work has positioned him as a key player in the intersection of finance and artificial intelligence.
Collaborations
He collaborates with talented individuals such as Yanshuai Cao and Weiguang Ding, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Yik Chau Lui's contributions to neural network technologies and his innovative patents demonstrate his commitment to advancing the field of artificial intelligence. His work continues to influence the development of predictive models and training systems, making a significant impact in various industries.