Cho-Jui Hsieh

Title: **Cho-Jui Hsieh: Innovator in Neural Networks and Machine Learning**

Introduction

Cho-Jui Hsieh is a prominent inventor based in San Jose, California. He has made significant contributions to the fields of neural networks and machine learning, holding two patents that showcase his expertise and innovative spirit. His work primarily revolves around enhancing the efficiency of neural networks and linear support vector machines.

Latest Patents

Hsieh's most recent patents include the following:

1. **Decreasing neural network inference times using softmax approximation**: This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, aimed at reducing inference times in neural networks. The method involves maintaining a softmax weight vector for outputs in a vocabulary of possible neural network outputs, processing input data to generate a context vector, and producing an approximate score distribution. This innovation optimizes the processing of neural network inputs, allowing for faster and more efficient computations.

2. **Efficient polynomial mapping of data for use with linear support vector machines**: This patent presents methods, systems, and apparatus for polynomial mapping of data applied in linear SVMs. The method includes training a linear classifier by receiving feature vectors and generating a condensed representation of a mapped vector. It efficiently identifies non-zero components from a polynomial mapping and classifies feature vectors based on a derived classification score, enhancing the performance of linear classifiers.

Career Highlights

Hsieh is currently employed at Google Inc., where he leverages his skills and knowledge to further advancements in artificial intelligence and machine learning technologies. His role at such a leading technology company underscores his influence and commitment to innovation in the field.

Collaborations

Throughout his career, Cho-Jui Hsieh has collaborated with notable professionals, including Yin-Wen Chang and Kai-Wei Chang. These collaborations reflect his ability to work effectively within teams to drive forward complex projects and achieve remarkable results in research and development.

Conclusion

As an inventor, Cho-Jui Hsieh exemplifies the spirit of innovation through his groundbreaking patents and contributions to technological advancements. His work in decreasing inference times in neural networks and improving data mapping techniques for linear classifiers marks him as a pivotal figure in the realms of artificial intelligence and machine learning. With a promising career at Google Inc. and impactful collaborations, Hsieh continues to pave the way for future innovations in his field.