This inventor holds 1 USPTO granted patent. Top assignee: Paypal, Inc.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Changle Lian: Innovator in Machine Learning
Introduction
Changle Lian is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of feature engineering, which is crucial for developing effective machine learning models.
Latest Patents
Changle Lian holds a patent titled "Graph-based feature engineering for machine learning models." This patent presents methods and systems designed to assist users in identifying and evaluating features for use in machine learning models. The invention utilizes graph data associated with a graph data structure to provide a user interface on a device. By receiving user inputs via this interface, the system determines a feature candidate for the machine learning model. This feature candidate is linked to a specific method of traversing the graph data structure to obtain attribute values associated with vertices and edges. The calculated value corresponding to the feature candidate can be used to assess its effectiveness in performing the intended task. Ultimately, the feature candidate can be integrated into the machine learning model as one of the input features. Changle Lian has 1 patent to his name.
Career Highlights
Changle Lian is currently employed at PayPal, Inc., where he continues to innovate in the field of technology. His work at PayPal allows him to apply his expertise in machine learning and contribute to the development of advanced financial technologies.
Collaborations
Changle collaborates with talented individuals such as Haoran Zhang and Pengshan Zhang. Their combined efforts in research and development foster an environment of innovation and creativity.
Conclusion
Changle Lian is a notable inventor whose work in machine learning is paving the way for more efficient and effective models. His contributions are significant in the realm of technology and innovation.
