Redmond, WA, United States of America

Yinglong Wang


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Yinglong Wang

Introduction

Yinglong Wang, an accomplished inventor based in Redmond, WA, has made significant contributions to the field of technology through his inventive work at Amazon Technologies, Inc. With a focus on advanced machine learning techniques, his expertise lies in developing methods for unsupervised learning that leverage coding structures.

Latest Patents

Yinglong Wang holds a patent titled "Techniques for unsupervised learning embeddings on source code tokens from non-local contexts." This innovative patent discusses a methodology for processing code to produce an abstract syntax tree (AST), which represents the syntactic paths between code tokens. By generating ASTs, the invention identifies terminal nodes and crawls paths between them to create a cooccurrence matrix. This matrix showcases the frequency of co-occurring terminals, which can be utilized as input for existing vector-space embedding techniques such as word2vec and GloVe.

Career Highlights

At Amazon Technologies, Inc., Wang has applied his expertise to push the boundaries of unsupervised learning and artificial intelligence. His groundbreaking work not only enhances code analysis but also contributes to broader applications in machine learning and software development.

Collaborations

Yinglong has collaborated with esteemed colleagues Russell Reas and Neela Sawant, combining their knowledge and skills to contribute to advancements in code processing and machine learning technologies. Their teamwork represents the collaborative spirit and innovation culture fostered at Amazon Technologies, Inc.

Conclusion

Yinglong Wang's contributions through his patent demonstrate his commitment to innovation in the field of technology. His work not only highlights the importance of machine learning in software development but also sets a precedent for future advancements in utilizing coding structures for learning systems. As he continues his journey at Amazon Technologies, Inc., it will be exciting to see the future innovations he brings to life.

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