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For the Inventor, By the Inventor

Palo Alto, CA, United States of America

Yingquan Wu

This inventor holds 71 USPTO granted patents and 2 published patent applications and 2 EPO patents, primarily in Data Compression Techniques (CPC class H03M). Top assignees: Link a Media Devices Corporation, Sk Hynix Memory Solutions Inc., Tidal Systems, Inc.. Active years: 2008-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yingquan Wu. Retrieved from https://idiyas.com/inventor/yingquan-wu

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

Calculating rank
USPTO Granted Patents = 71 

% Patents Active = 88.7

 

Average Co-Inventor Count = 1.3

ph-index = 10

Forward Citations = 694(Granted Patents)

Forward Citations (Not Self Cited) = 650(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Urbana, IL (US) (2008)
  • Santa Clara, CA (US) (2009 - 2014)
  • Milpitas, CA (US) (2015 - 2017)
  • Palo Alto, CA (US) (2014 - 2023)

Company Filing History:

goldMedal12 out of 59 
 
Link a Media Devices Corporation
 patents
silverMedal11 out of 145 
 
Sk Hynix Memory Solutions Inc.
 patents
bronzeMedal11 out of 17 
 
Tidal Systems, Inc.
 patents
4. 10 out of 39,253 
 
Micron Technology Incorporated
 patents
5. 9 out of 33 
 
Beijing Tenafe Electronic Technology Co., Ltd.
 patents
6. 8 out of 8,750 
 
Seagate Technology Incorporated
 patents
7. 2 out of 3 
 
Beijing Tenate Electronic Technology Co., Ltd.
 patents
8. 1 out of 1,813 
 
Avago Technologies General IP (Singapore) Pte. Ltd.
 patents
9. 1 out of 2,353 
 
Lsi Corporation
 patents
10. 1 out of 4 
 
Nanjing Tenafe Electronic Technology Co., Ltd.
 patents
11. 1 out of 1 
 
Tenafe, Inc.
 patent
12. 4 out of 834,570 
Other
 patents

Years Active: 2008-2026

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Areas of Expertise:
Data Compression
Error Correction
Huffman Coding
LDPC Decoding
Flash Storage
Adaptive DSP
BCH Codes
Non-Volatile Memory
Read Thresholds
Data Deduplication
VLSI Efficient Encoding
Dynamic Dictionary-Based Encoding
71 patents (USPTO):Explore Patents
1. 12744101 - Adaptive DSP generation of read thresholds for gaussian and non-gaussian distributions in solid state storage using cumulative observed counts (2026-09-22),
2. 12190975 - Adaptive DSP generation of read thresholds for gaussian and non-gaussian distributions in solid state storage using cumulative observed counts (2025-01-07),
3. 11722149 - Deflate compression using sub-literals for reduced complexity Huffman coding (2023-08-08),
4. 11664823 - Early convergence for decoding of LDPC codes (2023-05-30),
5. 11641213 - Log-likelihood ratio mapping tables in flash storage systems (2023-05-02),
6. 11632135 - Apparatuses and methods for interleaved BCH codes (2023-04-18),
7. 11569841 - Data compression techniques using partitions and extraneous bit elimination (2023-01-31),
8. 11551772 - Performing a decoding operation to simulate switching a bit of an identified set of bits of a data block (2023-01-10),
9. 11469773 - Deflate compression using sub-literals for reduced complexity Huffman coding (2022-10-11),
10. 11355216 - Adaptive DSP generation of read thresholds for gaussian and non-gaussian distributions in solid state storage using cumulative observed counts (2022-06-07),
11. 11283468 - Log-likelihood ratio mapping tables in flash storage systems (2022-03-22),
12. 11251810 - Low-density parity-check decoding with desaturation (2022-02-15),
13. 11218166 - Early convergence for decoding of LDPC codes (2022-01-04),
14. 11139829 - Data compression techniques using partitions and extraneous bit elimination (2021-10-05),
15. 10951239 - Performing a decoding operation to simulate switching a bit of an identified set of bits of a data block (2021-03-16),

Title: Innovations and Contributions of Yingquan Wu in Solid State Storage

Introduction: Yingquan Wu, a prolific inventor based in Palo Alto, CA, has significantly impacted the field of solid state storage with a remarkable portfolio of 70 patents. His innovative work has paved the way for advancements in data storage and retrieval technologies, pushing the boundaries of what is possible in this rapidly evolving domain.

Latest Patents: Among his latest contributions, two patents stand out. The first is focused on "Adaptive DSP Generation of Read Thresholds for Gaussian and Non-Gaussian Distributions in Solid State Storage Using Cumulative Observed Counts." This invention details a method for determining read thresholds based on observed cell activation counts, utilizing levels of disparity that lead to improved error correction decoding processes.

The second patent, "Deflate Compression Using Sub-Literals for Reduced Complexity Huffman Coding," describes an innovative encoding technique. In this invention, an input sequence of bits is divided into sub-sequences that are encoded using separate Huffman code trees, resulting in efficient data representation and reduced complexity.

Career Highlights: Yingquan Wu's career spans several notable organizations, including links with Link-A-Media Devices Corporation and SK Hynix Memory Solutions Inc. His experiences in these esteemed companies have equipped him with the skills and insights necessary to develop groundbreaking technologies in memory solutions and data compression.

Collaborations: Throughout his career, Wu has had the opportunity to collaborate with other talented professionals, such as Alexander Hubris and Meng-Kun Lee. These collaborations have contributed to the evolution of his ideas and the successful realization of his patented innovations.

Conclusion: Yingquan Wu is not only an accomplished inventor but also a key figure in the advancement of solid state storage technology. With his extensive patent portfolio and collaborations with esteemed colleagues, his contributions continue to influence the future of data storage solutions.

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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