Yew Soon Ong

Title: Yew Soon Ong: Innovator in Adaptive Multi-Task Learning

Introduction

Yew Soon Ong is a prominent inventor based in Singapore, known for his contributions to adaptive multi-task learning and optimization algorithms. With a total of two patents to his name, he has made significant strides in the field of computer science and artificial intelligence.

Latest Patents

His latest patents include "Exploiting local inter-task relationships in adaptive multi-task learning," which outlines methods, systems, and computer-readable storage media for processing datasets. This patent focuses on clustering data values, training local multi-task Gaussian processes, and merging data values based on optimized hyper-parameters. Another notable patent is "Method and apparatus for automatic configuration of meta-heuristic algorithms in a problem-solving environment." This invention presents a method for configuring search algorithms to solve combinatorial optimization problems using a probabilistic tree structure.

Career Highlights

Yew Soon Ong has worked with notable organizations such as Singapore Technologies Dynamics Pte Ltd and Nanyang Technological University. His experience in these institutions has allowed him to develop innovative solutions and contribute to advancements in technology.

Collaborations

He has collaborated with esteemed colleagues, including Meng Hiot Lim and Yi Liang Xu, further enhancing his research and development efforts.

Conclusion

Yew Soon Ong's work in adaptive multi-task learning and optimization algorithms showcases his innovative spirit and dedication to advancing technology. His patents reflect a commitment to solving complex problems through intelligent design and collaboration.