HengJun Tian

Title: Innovations by HengJun Tian in Anomaly Detection

Introduction

HengJun Tian is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of anomaly detection through his innovative patent. His work focuses on enhancing data analysis methods, particularly in identifying anomalous data patterns.

Latest Patents

HengJun Tian holds a patent titled "Holo-entropy adaptive boosting based anomaly detection." This patent describes a computer-implemented method for determining whether data is anomalous. The method involves generating a holo-entropy adaptive boosting model using a set of normal data. The model comprises multiple holo-entropy models and associated weights for combining their outputs. The process includes receiving additional data and determining if it is normal or abnormal relative to the normal data set, or providing a score that indicates how abnormal the additional data is.

Career Highlights

HengJun Tian is currently employed at VMware, Inc., where he applies his expertise in data analysis and anomaly detection. His innovative approach has positioned him as a valuable asset in his field. He has successfully developed methods that enhance the accuracy of data assessments.

Collaborations

HengJun collaborates with talented colleagues, including Zhen Mo and Bin Zan. Their combined efforts contribute to advancing the technology and methodologies in their area of expertise.

Conclusion

HengJun Tian's work in anomaly detection exemplifies the impact of innovative thinking in technology. His patent demonstrates a significant advancement in data analysis methods, showcasing his contributions to the field.