Cary, NC, United States of America

Bingfeng (Ben) Ding


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: **Innovator Spotlight: Bingfeng (Ben) Ding**

Introduction

Bingfeng (Ben) Ding is a notable inventor based in Cary, North Carolina, renowned for his innovative contributions in the field of time series forecasting. With a strong focus on advanced machine learning techniques, he has developed solutions that significantly enhance data prediction capabilities.

Latest Patents

Ben Ding holds a patent for a "Decoder-only transformer model for time series data." This innovative system and method forecast a series of future data points in long sequence time series data. The model operates by dividing lengthy sequences into multiple subsequences, converting them into vector representations, and leveraging convolution operations to predict future data points effectively. This invention addresses critical challenges in forecasting and presents a sophisticated approach to handling time series data.

Career Highlights

Bingfeng Ding works at SAS Institute Inc., a global leader in analytics and data management. His role involves applying cutting-edge research and development techniques to drive advancements in predictive modeling and data analytics. His contributions have been vital in pushing the boundaries of what is possible in the field.

Collaborations

Throughout his career, Ben has collaborated with various experts, including Ruiwen Zhang. Their work together showcases a synergy that fosters innovative solutions and research in data science and forecasting methodologies. This collaboration highlights the importance of teamwork in the advancement of technological innovations.

Conclusion

Bingfeng (Ben) Ding exemplifies the spirit of innovation and persistence in the technology sector. His unique patent for a decoder-only transformer model reflects his commitment to improving data forecasting methods. As he continues to develop new technologies at SAS Institute Inc., his contributions are sure to influence the future of data analytics and machine learning.

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