This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Sap Se. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Yu Sheng Daniel Lee: Innovator in Machine Learning
Introduction
Yu Sheng Daniel Lee is a prominent inventor based in Singapore, known for his contributions to the field of machine learning. He has developed innovative methods that leverage large language models to enhance the training of machine learning systems. His work is paving the way for advancements in artificial intelligence and data processing.
Latest Patents
Yu Sheng Daniel Lee holds a patent titled "Robust documentation understanding using large language model knowledge distillation and joint training." This patent encompasses methods, systems, and computer-readable storage media directed to a machine learning model training system. It focuses on training ML models by utilizing a large language model for knowledge distillation to provide training data, while also employing multi-task learning to optimize the training process. He has 1 patent to his name.
Career Highlights
Currently, Yu Sheng Daniel Lee is employed at SAP SE, where he continues to innovate and contribute to the field of technology. His expertise in machine learning and artificial intelligence has made him a valuable asset to his team and the company.
Collaborations
Throughout his career, Yu Sheng Daniel Lee has collaborated with talented individuals such as Shaun Tieon and Weishi Wang. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
In summary, Yu Sheng Daniel Lee is a significant figure in the realm of machine learning, with a focus on enhancing training methodologies through innovative approaches. His contributions are shaping the future of artificial intelligence and machine learning applications.