Yen-Yun Yu

This inventor holds 16 USPTO granted patents and 3 published patent applications and 6 EPO patents. Top assignees: Ancestry.com Operations Inc., Autodesk, Inc.. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yen-Yun Yu. Retrieved from https://idiyas.com/inventor/yen-yun-yu

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

USPTO Granted Patents = 16 (Patent Applications = 3)

% Patents Active = 100.0

EPO Patents = 6 (Patent Applications = 7)

Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 9(Granted Patents)

Location History:

Lehi, UT (US) (2023)
Murray, UT (US) (2020 - 2024)

Company Filing History:

15 out of 109

Ancestry.com Operations Inc.

Years Active: 2020-2026

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16 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12657887 - Percentile-based pseudo-label selection for multi-label semi-supervised classification (2026-06-16),

2. 12493744 - Context-based keyphrase extraction from input text (2025-12-09),

3. 12456317 - Systems and methods for detection and correction of OCR text (2025-10-28),

4. 12265544 - Domain knowledge guided selection of nodes for addition to data trees (2025-04-01),

5. 12198416 - Systems and methods for identifying and segmenting objects from images (2025-01-14),

6. 12159475 - Handwriting recognition (2024-12-03),

7. 12026982 - Handwriting recognition with language modeling (2024-07-02),

8. 11887358 - Systems and methods for identifying and segmenting objects from images (2024-01-30),

9. 11775838 - Image captioning with weakly-supervised attention penalty (2023-10-03),

10. 11720632 - Genealogy item ranking and recommendation (2023-08-08),

11. 11551034 - Adversarial network for transforming handwritten text (2023-01-10),

12. 11551025 - Genealogy item ranking and recommendation (2023-01-10),

13. 11475658 - Ventral-dorsal neural networks: object detection via selective attention (2022-10-18),

14. 11170257 - Image captioning with weakly-supervised attention penalty (2021-11-09),

15. 10949666 - Ventral-dorsal neural networks: object detection via selective attention (2021-03-16),

Title: Yen-Yun Yu: Innovator in OCR Technology and Data Management

Introduction

Yen-Yun Yu is a prominent inventor based in Murray, Utah, known for his significant contributions to technology through his innovative patents. With a total of 14 patents to his name, he has made remarkable strides in the fields of optical character recognition (OCR) and data management systems.

Latest Patents

Yen-Yun Yu's latest patents include groundbreaking systems and methods for the detection and correction of OCR text. His OCR-text correction system utilizes a transformer-based sequence-to-sequence language model that is pretrained to denoise corrupted text. This model is fine-tuned using specific examples related to OCR correction. The process involves applying text obtained through OCR to the fine-tuned model, which detects errors and outputs an updated subset of the text to correct those errors. Another notable patent focuses on domain knowledge-guided selection of nodes for addition to data trees. This innovation allows a computing server to continuously update a set of nodes based on user interactions, enhancing the efficiency of data management.

Career Highlights

Yen-Yun Yu is currently employed at Ancestry.com Operations Inc., where he continues to develop innovative solutions that enhance user experience and data accuracy. His work has positioned him as a key player in the technology sector, particularly in the areas of data processing and recognition systems.

Collaborations

Yen-Yun collaborates with talented individuals such as Azadeh Moghtaderi and Jack Reese, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Yen-Yun Yu's contributions to technology through his patents and collaborative efforts highlight his role as a leading inventor in the field of OCR and data management. His work continues to influence advancements in these critical areas.

Profile summary based on public USPTO records.