Jinfeng Yi

Title: Innovations of Jinfeng Yi

Introduction

Jinfeng Yi is a prominent inventor based in Ossining, NY, known for his significant contributions to the field of machine learning and time series analysis. With a total of 15 patents to his name, Yi has made remarkable strides in developing techniques that enhance the capabilities of machine learning systems.

Latest Patents

One of Yi's latest patents is titled "Multi-dimensional time series event prediction via convolutional neural network(s)." This invention provides techniques that facilitate machine learning using multi-dimensional time series data. The system includes a snapshot component that generates sequences of multi-dimensional time series data from various data types over a consecutive period. Additionally, the machine learning component analyzes these sequences using a convolutional neural network to predict events associated with the data. Another notable patent is "Time-series representation learning via random time warping." This method offers a computer-implemented approach for unsupervised time-series feature learning. It generates reference time-series of random lengths and computes distances to create a feature matrix for raw time-series data, which is then used as input for machine learning models.

Career Highlights

Jinfeng Yi is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and contribute to advancements in technology. His work focuses on enhancing machine learning algorithms and improving data analysis techniques.

Collaborations

Yi collaborates with talented individuals in his field, including Wei Sun and Roman Vaculin, who contribute to his research and development efforts.

Conclusion

Jinfeng Yi's innovative work in machine learning and time series analysis has positioned him as a key figure in the technology sector. His patents reflect a commitment to advancing the capabilities of data analysis and machine learning systems.