Weishi Wang

Title: Weishi Wang: Innovator in Code Understanding and Generation

Introduction

Weishi Wang is a prominent inventor based in Singapore, known for his contributions to the field of code understanding and generation. With a total of three patents to his name, he has made significant strides in developing models that enhance the interaction between programming languages and natural languages.

Latest Patents

Weishi Wang's latest patents focus on systems and methods for code understanding and generation. These embodiments describe a code generation and understanding model that builds on a Transformer-based encoder-decoder framework. The model is designed to derive generic representations for programming language (PL) and natural language (NL) in the code domain through pre-training on an unlabeled code corpus. This innovative approach allows the model to benefit various code-related downstream tasks with fine-tuning. In addition to the denoising sequence-to-sequence objectives commonly used for pre-training on natural language, the model incorporates identifier tagging and prediction pre-training objectives. This enables the model to leverage crucial token type information from PL, specifically the identifiers assigned by developers.

Career Highlights

Throughout his career, Weishi Wang has worked with notable companies, including Salesforce.com, Inc. and Salesforce, Inc. His experience in these organizations has contributed to his expertise in the field of code generation and understanding.

Collaborations

Weishi Wang has collaborated with several talented individuals, including Shafiq Rayhan Joty and Chu Hong Hoi. These collaborations have further enriched his work and innovations in the domain of code understanding.

Conclusion

Weishi Wang's contributions to code understanding and generation exemplify the innovative spirit of modern inventors. His work continues to influence the intersection of programming and natural language processing, paving the way for future advancements in the field.