Columbus, OH, United States of America

Peidong Wang

This inventor holds 4 USPTO granted patents. Top assignee: Tencent America LLC. Active years: 2020-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Peidong Wang. Retrieved from https://idiyas.com/inventor/peidong-wang-0jv13spy

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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4 patents (USPTO):Explore Patents

Title: Peidong Wang: Innovator in Speech Recognition Technology

Introduction

Peidong Wang is a prominent inventor based in Columbus, OH (US). He has made significant contributions to the field of automatic speech recognition (ASR) technology. With a total of 4 patents to his name, Wang continues to push the boundaries of innovation in this area.

Latest Patents

One of his latest patents is titled "Token-wise training for attention based end-to-end speech recognition." This method involves performing cross-entropy training of a model based on input features of a speech signal. It includes determining a posterior probability vector at the time of a first wrong token among output tokens of the model. The process also involves calculating the loss of the first wrong token and determining a total loss of the training set. Finally, the model is updated based on the determined total loss.

Career Highlights

Peidong Wang is currently employed at Tencent America LLC, where he applies his expertise in speech recognition technology. His work has been instrumental in advancing the capabilities of ASR systems.

Collaborations

Wang collaborates with talented individuals such as Jia Cui and Chao Weng, contributing to innovative projects in the field of speech recognition.

Conclusion

Peidong Wang is a key figure in the development of advanced speech recognition technologies. His innovative patents and collaborative efforts continue to shape the future of this important field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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