Hangzhou, China

Xiaofu Chang


 

Average Co-Inventor Count = 4.9

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Zhejiang, CN (2020 - 2022)
  • Hangzhou, CN (2021 - 2023)

Company Filing History:


Years Active: 2020-2023

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12 patents (USPTO):

Title: The Innovative Mind of Xiaofu Chang

Introduction

Xiaofu Chang is a prominent inventor based in Hangzhou, China, with a significant contribution to the field of technology through his twelve patents. His innovative spirit and expertise in machine learning and risk analysis have positioned him as an influential figure in his industry.

Latest Patents

Among his latest patents, Xiaofu developed a method for processing sequential interaction data through machine learning. This patent describes a process involving dynamic interaction graphs that are constructed from sequences of interactions, utilizing a Transformer-based neural network model to determine feature vectors for analysis. Furthermore, he has contributed to credit risk management with his graphical structure model that analyzes enterprise relationship networks, successfully identifying risky credit nodes based on embedded vector characteristics derived from labeled samples.

Career Highlights

Xiaofu has worked with notable companies such as Advanced New Technologies Co., Ltd. and Alibaba Group Holding Limited. His experiences in these leading organizations have enriched his technical skills and contributed to the advancement of his innovative solutions.

Collaborations

Throughout his career, Xiaofu has collaborated with esteemed colleagues, including Le Song and Hui Li. These partnerships have fostered a dynamic environment for innovation and have led to the successful development of groundbreaking technologies and methodologies.

Conclusion

Xiaofu Chang's innovative contributions continue to shape the landscape of technology and risk analysis, with his patents driving advancements in machine learning applications. As he continues his journey as an inventor, his work inspires future generations of innovators.

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