Chao Shang

Title: Chao Shang: Innovator in Taxonomy Construction

Introduction

Chao Shang is a notable inventor based in Medford, MA (US). He has made significant contributions to the field of knowledge transfer through his innovative patent. His work focuses on employing advanced technologies to enhance the construction of taxonomies.

Latest Patents

Chao Shang holds a patent titled "Taxonomy construction via graph-based cross-domain knowledge transfer." This invention provides a system, computer program product, and method for utilizing a graph neural network (GNN) to construct a taxonomy. The GNN undergoes a training cycle and an inference cycle. During the training cycle, it encodes cross-domain term pairs from a set of noisy cross-domain pairs extracted from a corpora, resulting in a preliminary taxonomy. The inference cycle identifies candidate term pairs and selectively subjects them to filtering, producing a system-predicted taxonomy from the preliminary taxonomy. This innovative approach has the potential to significantly improve the accuracy and efficiency of taxonomy construction.

Career Highlights

Chao Shang 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 the field of artificial intelligence and knowledge management.

Collaborations

Chao collaborates with talented individuals such as Sarthak Dash and Md Faisal Mahbub Chowdhury. Their combined expertise fosters an environment of innovation and creativity, leading to impactful developments in their respective fields.

Conclusion

Chao Shang is a distinguished inventor whose work in taxonomy construction through graph-based knowledge transfer showcases his innovative spirit. His contributions to the field are paving the way for future advancements in artificial intelligence and knowledge management.