San Francisco, CA, United States of America

Ruoqian Liu


Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020

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2 patents (USPTO):Explore Patents

Title: Innovations of Ruoqian Liu

Introduction

Ruoqian Liu is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning and image processing, holding a total of 2 patents. His work focuses on leveraging advanced techniques to enhance the efficiency and accuracy of neural networks.

Latest Patents

One of Ruoqian Liu's latest patents is titled "Leveraging JPEG discrete cosine transform coefficients in neural networks." This innovative system classifies compressed images and predicts likelihood values associated with them. It partially decompresses JPEG image data to obtain blocks of discrete cosine transform (DCT) coefficients that represent the image. The system applies various transform functions to these blocks, allowing them to be input together into a neural network for analysis. This method is less computationally intensive than using raw image data as input.

Another notable patent is "Generating compressed representation neural networks having high degree of accuracy." This invention involves machine learning models that utilize fewer parameters than typically required. The model is trained using an initial parameter vector, modified during the training phase in a subspace around the initial vector. The trained model can be stored or transmitted using seed values, allowing for efficient uncompression. This compressed representation can be applied in various fields, including object recognition, natural language processing, and more.

Career Highlights

Ruoqian Liu is currently employed at Uber Technologies, Inc., where he continues to push the boundaries of innovation in technology. His work has been instrumental in developing systems that enhance the capabilities of neural networks, making them more efficient and effective.

Collaborations

Ruoqian has collaborated with notable colleagues such as Jason Byron Yosinski and Lionel Gueguen. Their combined expertise has contributed to the advancement of machine learning technologies.

Conclusion

Ruoqian Liu's contributions to the field of machine learning and image processing are noteworthy. His innovative patents reflect a commitment to enhancing the efficiency of neural networks, making significant strides in technology.

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