Yincheng Yang

Title: Yincheng Yang: Innovator in Machine Learning and Image Processing

Introduction

Yincheng Yang is a prominent inventor based in Yokohama, Japan. He has made significant contributions to the fields of machine learning and image processing. With a total of six patents to his name, Yang is recognized for his innovative approaches to technology.

Latest Patents

Yincheng Yang's latest patents include a machine learning device and a far-infrared image capturing device. The far-infrared image acquisition unit is designed to acquire a far-infrared image, while the image conversion unit converts this image into a visible light image. Additionally, a visible light image trained model storage unit stores a first visible light image trained model that has undergone learning using the visible light image as training data. A transfer learning unit then performs transfer learning on this model using the converted visible light image as training data to generate a second visible light image trained model. Another patent focuses on a machine learning device and image processing device, which includes a far-infrared image training data acquisition unit that acquires a far-infrared image in a predetermined time zone. This device also features a visible light image training data acquisition unit that captures a visible light image in a different time zone. The visible light image generation model training unit employs a generative adversarial network to machine-learn both images and generate a trained generation model.

Career Highlights

Yincheng Yang is currently employed at JVC Kenwood Corporation, where he continues to develop innovative technologies. His work has significantly advanced the capabilities of image processing and machine learning applications.

Collaborations

Yang collaborates with notable coworkers, including Shingo Kida and Hideki Takehara, contributing to a dynamic and innovative work environment.

Conclusion

Yincheng Yang's contributions to machine learning and image processing demonstrate his commitment to innovation and technology advancement. His patents reflect a deep understanding of complex systems and a drive to improve image acquisition and processing techniques.