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For the Inventor, By the Inventor

White Plains, NY, United States of America

Hui Wan

USPTO Granted Patents = 8 

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 58(Granted Patents)


Location History:

  • Yorktown Heights, NY (US) (2020)
  • White Plains, NY (US) (2017 - 2024)

Company Filing History:

goldMedal8 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2017-2024

where 'Filed Patents' based on already Granted Patents

8 patents (USPTO):
1. 11934922 - Predictive data and model selection for transfer learning in natural language processing (2024-03-19),
2. 11893346 - Transformer-based encoding incorporating metadata (2024-02-06),
3. 11748576 - Interpretation of deep neural model based dialogue agents (2023-09-05),
4. 11062726 - Real-time speech analysis method and system using speech recognition and comparison with standard pronunciation (2021-07-13),
5. 10679016 - Selective machine translation with crowdsourcing (2020-06-09),
6. 10586556 - Real-time speech analysis and method using speech recognition and comparison with standard pronunciation (2020-03-10),
7. 9946800 - Ranking related objects using blink model based relation strength determinations (2018-04-17),
8. 9659009 - Selective machine translation with crowdsourcing (2017-05-23),

Title: Innovations of Hui Wan in Natural Language Processing

Introduction

Hui Wan is an accomplished inventor based in White Plains, NY (US). He has made significant contributions to the field of artificial intelligence and natural language processing. With a total of 8 patents to his name, Hui Wan continues to push the boundaries of technology and innovation.

Latest Patents

Hui Wan's latest patents include groundbreaking work in predictive data and model selection for transfer learning in natural language processing. This invention provides a computer system that includes an artificial intelligence (AI) platform operatively coupled to a processor. The AI platform features tools such as a machine learning model (MLM) manager, a metric manager, and a training manager. The MLM manager accesses a variety of pre-trained source MLMs and inputs data objects from a test dataset into each of these models. The system generates associated labels and calculates a similarity metric for each source MLM. Based on this metric, the MLM manager selects a base MLM for transfer learning. Additionally, he has developed a transformer-based encoding method that incorporates metadata from a corpus of natural language text documents. This method constructs a relativity matrix and trains an encoder model to compute embeddings corresponding to tokens within the corpus.

Career Highlights

Hui Wan is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in AI and machine learning. His work focuses on enhancing natural language processing capabilities, which are crucial for various applications in technology and business.

Collaborations

Hui Wan collaborates with talented individuals in his field, including Sasha P Caskey and Jian Ni. These partnerships foster innovation and contribute to the advancement of their projects.

Conclusion

Hui Wan's contributions to artificial intelligence and natural language processing exemplify the spirit of innovation. His patents reflect a commitment to improving technology and enhancing user experiences.

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