Company Filing History:
8 out of 1,366 
6 out of 2,400 
5 out of 253 
Years Active: 2020-2023
Title: Le Song - Innovator in Machine Learning and Credit Risk Analysis
Introduction
Le Song is a prominent inventor based in Hangzhou, China, recognized for his contributions to the fields of machine learning and credit risk analysis. With a remarkable portfolio of 19 patents, he has demonstrated his expertise in processing sequential interaction data and developing advanced graphical models for financial applications.
Latest Patents
Le Song's recent patents showcase his innovative approach to data processing. One notable patent focuses on "Processing Sequential Interaction Data," which describes a method for handling interaction data through machine learning. This method involves constructing a dynamic interaction graph based on a sequence of interactions that include various features such as objects and interaction times. By utilizing a Transformer-based neural network model, the method enables the determination of feature vectors for current nodes in the graph, enhancing data analysis capabilities.
Another significant patent involves a "Graphical Structure Model-Based Credit Risk Control." This invention leverages a graphical structure model trained on labeled samples to assess credit risk. The model is built upon an enterprise relationship network that iteratively calculates embedding vectors for nodes, which helps identify risky credit nodes through comprehensive feature analysis.
Career Highlights
Le Song has had a distinguished career, contributing to cutting-edge technology and research in his field. He has been associated with notable companies such as Advanced New Technologies Co., Ltd. and Alibaba Group Holding Limited, where he has further developed his skills and expertise in technology and innovation.
Collaborations
Throughout his career, Le has worked alongside esteemed colleagues, including Hui Li and Xiaofu Chang. Their collaborations have significantly advanced their respective areas of research, promoting innovation and improving methodologies in machine learning and credit risk analysis.
Conclusion
Le Song stands out as a leading inventor whose work continues to influence the landscape of machine learning and financial risk assessment. With 19 patents to his name, his innovative spirit and contributions are sure to inspire future advancements in these critical fields.