Location History:
- Sunnyvale, CA (US) (2020)
- San Jose, CA (US) (2022 - 2023)
Company Filing History:
Years Active: 2020-2023
Title: Dawei Li: Innovator in Machine Learning and Visual Object Segmentation
Introduction
Dawei Li is a prominent inventor based in Sunnyvale, California. He has made significant contributions to the fields of machine learning and visual object segmentation. With a total of 3 patents, his work focuses on advancing technology through innovative methods and devices.
Latest Patents
One of Dawei Li's latest patents is titled "Multi-task based lifelong learning." This invention outlines methods, devices, and computer-readable media for enabling a machine learning model to adaptively train for new tasks while leveraging existing knowledge. The process involves identifying a new task and incorporating inherent correlations between the new and existing tasks to create an adapted machine learning model. This model can then perform both tasks effectively.
Another notable patent is "Visual object instance segmentation using foreground-specialized model imitation." This method involves training a specialized teacher model to segment and classify objects in training images that contain only foreground objects. Subsequently, a student model is trained using outputs from the teacher model to perform similar tasks on images that include both foreground objects and backgrounds. The trained student model can then be deployed in external devices for practical applications.
Career Highlights
Dawei Li is currently employed at Samsung Electronics Co., Ltd., where he continues to push the boundaries of technology through his innovative work. His expertise in machine learning and visual object segmentation has positioned him as a key player in the tech industry.
Collaborations
Some of Dawei Li's notable coworkers include Jie Zhang and Junting Zhang, who collaborate with him on various projects within the company.
Conclusion
Dawei Li's contributions to machine learning and visual object segmentation demonstrate his commitment to innovation and technology advancement. His patents reflect a deep understanding of complex systems and a drive to improve machine learning capabilities.