Wan-Yi Lin

Title: The Innovations of Wan-Yi Lin

Introduction

Wan-Yi Lin is a notable inventor based in White Plains, NY (US). He has made significant contributions to the field of technology, particularly in image processing and machine learning. With a total of 4 patents to his name, Lin continues to push the boundaries of innovation.

Latest Patents

One of Wan-Yi Lin's latest patents is a method, system, and computer program product for selective image capture. This method involves analyzing a preview image made by an image sensor to determine if it contains information that should not be imaged. If such information is detected, the image sensor is disabled from capturing the corresponding image. This innovative approach enhances privacy and security in image capturing technologies.

Another significant patent focuses on determining a number of kernels using imbalanced training data sets. This invention provides a method for determining the number of kernels within a model based on generated artificial data samples for a minority data class. By calculating the likelihood of these samples being included in the majority data class, the parameters of each kernel are updated accordingly. This advancement is crucial for improving the accuracy of machine learning models.

Career Highlights

Wan-Yi Lin is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in technology and innovation. His work at IBM has allowed him to develop cutting-edge solutions that address complex challenges in the tech industry.

Collaborations

Throughout his career, Lin has collaborated with talented individuals such as Ching-Yung Lin and Yinglong Xia. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of innovative solutions.

Conclusion

Wan-Yi Lin's contributions to technology through his patents and work at IBM highlight his role as a leading inventor in the field. His innovative methods in image processing and machine learning continue to influence the industry and pave the way for future advancements.