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For the Inventor, By the Inventor

San Jose, CA, United States of America

Peifeng Yin

USPTO Granted Patents = 17 

Average Co-Inventor Count = 4.1

ph-index = 2

Forward Citations = 8(Granted Patents)


Location History:

  • State College, PA (US) (2021)
  • San Jose, CA (US) (2020 - 2023)

Company Filing History:

goldMedal17 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2020-2024

where 'Filed Patents' based on already Granted Patents

17 patents (USPTO):
1. 12106221 - Predicting functional tags of semantic role labeling (2024-10-01),
2. 11650717 - Using artificial intelligence to iteratively design a user interface through progressive feedback (2023-05-16),
3. 11645583 - Automatic rule learning in shared resource solution design (2023-05-09),
4. 11556848 - Resolving conflicts between experts' intuition and data-driven artificial intelligence models (2023-01-17),
5. 11461376 - Knowledge-based information retrieval system evaluation (2022-10-04),
6. 11443115 - Machine learning from tone analysis in online customer service (2022-09-13),
7. 11341394 - Diagnosis of neural network (2022-05-24),
8. 11249736 - AI-assisted UX design evaluation (2022-02-15),
9. 11238234 - Adjusting a verbosity of a conversation turn (2022-02-01),
10. 11195137 - Model-driven and automated system for shared resource solution design (2021-12-07),
11. 11074529 - Predicting event types and time intervals for projects (2021-07-27),
12. 11004097 - Revenue prediction for a sales pipeline using optimized weights (2021-05-11),
13. 10990995 - System for cognitive assessment of transactions (2021-04-27),
14. 10990991 - System for cognitive deal pricing (2021-04-27),
15. 10990898 - Automatic rule learning in shared resource solution design (2021-04-27),

Title: Peifeng Yin: Innovator in Artificial Intelligence and User Interface Design

Introduction

Peifeng Yin is a prominent inventor based in San Jose, California, known for his significant contributions to the fields of artificial intelligence and user interface design. With a total of 17 patents to his name, Yin has demonstrated a remarkable ability to innovate and improve technology through his inventive methods.

Latest Patents

Among his latest patents, one notable invention is a method for predicting functional tags of semantic role labeling. This computer-implemented method involves receiving a training data instance and a target instance, generating an input sequence, and mapping it to a feature vector. The feature vector is then used to create a label for the target instance, showcasing Yin's expertise in machine learning and data processing.

Another significant patent focuses on using artificial intelligence to iteratively design a user interface through progressive feedback. This method analyzes a sketch of a user interface to predict intended designs based on historical data. By generating and displaying intended final sketch renderings, the system allows users to select their preferred design, ultimately leading to the generation of code for the final user interface.

Career Highlights

Peifeng Yin is currently employed at International Business Machines Corporation (IBM), where he continues to push the boundaries of technology. His work at IBM has allowed him to collaborate with other talented professionals in the field, further enhancing his innovative capabilities.

Collaborations

Some of his notable coworkers include Aly Megahed and Taiga Nakamura, who contribute to the collaborative environment that fosters creativity and innovation at IBM.

Conclusion

Peifeng Yin's contributions to artificial intelligence and user interface design exemplify the spirit of innovation. His patents reflect a deep understanding of technology and a commitment to improving user experiences through intelligent design.

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