Qing Yan

Title: The Innovative Mind of Qing Yan

Introduction

Qing Yan is a prominent inventor based in Chicago, IL (US). She has made significant contributions to the field of artificial intelligence, particularly in the area of neural networks. Her work focuses on developing methods to enhance data recovery processes, showcasing her expertise and innovative spirit.

Latest Patents

Qing Yan holds a patent for a system and method for training a neural network with an autoencoder architecture to recover missing data. This computer-implemented method involves training an autoencoder that includes an encoder for encoding inputs into a latent space and a decoder for decoding those encodings. The method consists of creating a first training set with a valid data set of multiple dimensions and training the encoder and decoder to minimize the difference between the valid data set and the data set decoded by the decoder. Additionally, a second training set comprising an invalid data set is created to further refine the encoder's performance.

Career Highlights

Qing Yan is currently employed at Mitsubishi Electric Research Laboratories, Inc., where she continues to push the boundaries of technology and innovation. Her work has garnered attention for its practical applications in data recovery and machine learning.

Collaborations

Throughout her career, Qing has collaborated with notable colleagues, including Emil Laftchiev and Daniel Nikolaev Nikovski. These partnerships have contributed to her success and the advancement of her research.

Conclusion

Qing Yan exemplifies the spirit of innovation in the field of artificial intelligence. Her contributions, particularly in neural network training, highlight her role as a leading inventor in her domain.