Ming-Kuang Daniel Wu

Title: The Innovations of Ming-Kuang Daniel Wu

Introduction

Ming-Kuang Daniel Wu is an accomplished inventor based in Woodside, California. He has made significant contributions to the field of technology, particularly in the area of quality assurance for labeled training data. His work has implications for various applications, including machine learning and data classification.

Latest Patents

Ming-Kuang Daniel Wu holds a patent for "Quality assurance for labeled training data." This patent encompasses methods, systems, apparatus, and tangible non-transitory carrier media encoded with one or more computer programs for classifying an item. The invention involves issuing a labeling task to workers in a crowdsourcing system, where they evaluate an inferred classification based on a hierarchical classification taxonomy. The validation of the classification is achieved through consensus criteria applied to the received evaluation decisions, ensuring accurate data routing based on validation results.

Career Highlights

Ming-Kuang Daniel Wu is currently employed at Nielsen Consumer LLC, where he continues to innovate and contribute to advancements in technology. His expertise in data classification and quality assurance has positioned him as a valuable asset in his field.

Collaborations

Ming-Kuang Daniel Wu collaborates with Chu-Cheng Hsieh, working together to enhance the effectiveness of their projects and drive innovation within their organization.

Conclusion

Ming-Kuang Daniel Wu's contributions to the field of technology through his patent and work at Nielsen Consumer LLC highlight his role as a significant inventor. His innovative approaches to quality assurance in data classification continue to influence the industry.