Hao Xiang Wu

Title: Innovations by Hao Xiang Wu

Introduction

Hao Xiang Wu is a notable inventor based in Beijing, China. He has made significant contributions to the field of data analysis and anomaly detection. His work focuses on utilizing dependency modeling to enhance the identification of anomalous data.

Latest Patents

Hao Xiang Wu holds a patent titled "Detecting temporal anomalous data using dependency modeling." This innovative embodiment is designed to detect anomalous data within a target data environment. It identifies references between data contained in one or more data files and determines dependency relationships between data fields. The embodiment constructs computational graphs that depict these relationships and calculates abnormality degree values for each data field. When an anomalous data field is detected, it calculates contribution values for associated component data fields to identify the root cause of the anomaly. He has 1 patent to his name.

Career Highlights

Hao Xiang Wu is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in data processing and analysis.

Collaborations

Some of his notable coworkers include Rong Zhao and Zhe Yan, who collaborate with him on various projects within the company.

Conclusion

Hao Xiang Wu's innovative work in detecting anomalous data through dependency modeling showcases his expertise and commitment to advancing technology in data analysis. His contributions are valuable to the field and highlight the importance of innovation in addressing complex data challenges.