San Jose, CA, United States of America

Hanging Chen


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):

Title: Inventor Profile: Hanging Chen

Introduction

Hanging Chen is an innovative inventor based in San Jose, California, known for his contributions to the field of cognitive model tuning. With a patent to his name, Chen exemplifies the spirit of invention and technological advancement in today's data-driven world.

Latest Patents

Hanging Chen holds a patent titled "Cognitive model tuning with rich deep learning knowledge." This invention introduces a mechanism for a data processing system which includes a processor and memory. The memory contains instructions executed by the processor to configure it for implementing a cognitive service focused on cognitive model tuning using deep learning insights. The invention employs a systematic approach, performing model training and testing operations while compiling essential data such as training datasets, hyperparameter information, and resulting metrics into a database. It further innovates by conducting anomalies checks and offering recommendations to improve subsequent model training, ensuring a streamlined and efficient process.

Career Highlights

Hanging Chen is associated with the International Business Machines Corporation (IBM), a global leader in technology and consulting. At IBM, Chen has played a significant role in advancing cognitive services, showcasing his expertise in machine learning and data analytics through his notable patent.

Collaborations

Throughout his career, Chen has collaborated with esteemed colleagues, including Abhinandan Kelgere Ramesh and Sundari Voruganti. These partnerships reflect a shared commitment to innovation and the pursuit of cutting-edge technology solutions.

Conclusion

Hanging Chen's contributions to the field of cognitive model tuning signify a remarkable example of innovation driven by deep learning methodologies. His work at IBM not only enhances the company's reputation but also propels the technology industry forward, addressing complex challenges in data processing and model training.

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