Hao Yang

Title: Hao Yang: A Pioneer in Network Activity Detection and Graph Representation Learning

Introduction

Hao Yang is a prolific inventor based in San Jose, CA, with an impressive portfolio that includes 80 patents. His work primarily focuses on innovative methods and systems designed to enhance the detection of group activities in networks as well as advancing dynamic graph representation learning.

Latest Patents

Among his most recent patents, two stand out for their significance in the field of network analysis. The first patent, titled "Method, system, and computer program product for detecting group activities in a network," introduces a comprehensive method for identifying group interactions within a network. This innovation involves receiving interaction data, determining values for multiple categories for account identifiers, and generating relational graphs based on this data. It culminates in the identification of clusters and associated scores that provide insight into the network's dynamics.

The second notable patent is "Dynamic graph representation learning via attention networks." This method is advanced in its utilization of structural and temporal self-attention modules to extract datasets from graph snapshots. The ability to predict graph contexts using these datasets marks a significant development in how networks can be analyzed over time.

Career Highlights

Hao Yang has made impactful contributions while working with prominent organizations such as Visa International Service Association and International Business Machines Corporation (IBM). His roles at these companies have allowed him to carry out research and development that leads to groundbreaking technological advancements.

Collaborations

Throughout his career, Yang has collaborated with talented individuals in his field. Notable coworkers include Wei Zhang and Yuhang Wu, both of whom have contributed to the innovative efforts in similar domains of network analysis and representation learning.

Conclusion

Hao Yang's contributions to the fields of network activity detection and dynamic graph representation are noteworthy. His extensive patent portfolio not only showcases his innovative spirit but also his commitment to advancing technology. As he continues to build upon his work, the impact of his inventions will undoubtedly resonate across various industries.