Jian Cai

Title: Innovations of Jian Cai in Machine Learning

Introduction

Jian Cai is an accomplished inventor based in Forest Hills, NY (US). He has made significant contributions to the field of machine learning, particularly in the area of threshold tuning for fraud detection. With a total of 2 patents to his name, his work has the potential to enhance the accuracy of alerting systems in various applications.

Latest Patents

Jian Cai's latest patents focus on "Below-the-line thresholds tuning with machine learning." The first patent describes systems, methods, and other embodiments for ML-based automated below-the-line threshold tuning. This includes training a machine learning model to predict the probabilities of an event being fraudulent based on historical data. The model helps in determining when the alerting engine should be tuned, generating a tuned threshold value, and adjusting the alerting engine accordingly. The second patent also revolves around applying machine learning to below-the-line threshold tuning. It involves selecting a set of sampled events, labeling them as suspicious or not, and building a machine learning model to calculate the probability of suspicion for each event. The model is trained and validated to reduce errors in classifying events.

Career Highlights

Jian Cai is currently employed at Oracle Financial Services Software Limited, where he continues to innovate in the field of machine learning. His work is instrumental in developing systems that improve the efficiency and accuracy of fraud detection mechanisms.

Collaborations

Jian collaborates with Sunil J Mathew, leveraging their combined expertise to advance their projects in machine learning and fraud detection.

Conclusion

Jian Cai's contributions to machine learning, particularly in threshold tuning for fraud detection, showcase his innovative spirit and technical expertise. His patents reflect a commitment to enhancing the reliability of alerting systems, making significant strides in the field.