Taichung, Taiwan

Yu-Hsuan Lin

This inventor holds 92 USPTO granted patents and 19 published patent applications, primarily in Memory Devices (CPC class G11C16-08). Top assignees: Macronix International Co., Ltd., Mediatek Corporation, Egis Technology Inc.. Active years: 2004-2026.

USPTO Granted Patents = 92 

% Patents Active = 76.1

Average Co-Inventor Count = 2.9

ph-index = 4

Forward Citations = 95(Granted Patents)

Forward Citations (Not Self Cited) = 84(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • New Taipei, TW (2015)
  • Changhua, TW (2019)
  • Hsinchu County, TW (2016 - 2021)
  • Taipei, TW (2004 - 2023)
  • Hsinchu, TW (2006 - 2023)
  • Taichung City, TW (2023)
  • Taichung, TW (2009 - 2024)

Company Filing History:

goldMedal37 out of 3,609 
 
Macronix International Co., Ltd.
 patents
silverMedal15 out of 5,091 
 
Mediatek Corporation
 patents
bronzeMedal14 out of 104 
 
Egis Technology Inc.
 patents
4. 6 out of 8 
 
Igistec Co., Ltd.
 patents
5. 5 out of 97 
 
Macronix International
 patents
6. 5 out of 240 
 
National Applied Research Laboratories
 patents
7. 4 out of 1,391 
 
National Taiwan University
 patents
8. 2 out of 16 
 
Medical and Pharmaceutical Industry Technology and Development Center
 patents
9. 1 out of 27,667 
 
Hewlett-Packard Development Company, L.p.
 patents
10. 1 out of 9,303 
 
Industrial Technology Research Institute
 patents
11. 1 out of 6 
 
Instrument Technology Research Center
 patents
12. 1 out of 679 
 
Inventec (Pudong) Technology Corporation
 patents
13. 1 out of 1,638 
 
Inventec Corp.
 patents
14. 1 out of 126 
 
Merry Electronics (Shenzhen) Co., Ltd.
 patents
15. 1 out of 1,704 
 
Novatek Microelectronics Corp.
 patents
16. 5 out of 834,453 
Other
 patents
where one patent can have more than one assignee

Years Active: 2004-2026

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Areas of Expertise:
Memory Structure
In-Memory Computation
Content Addressable Memory
Three-Dimensional Memory
Neural Network Training
Fingerprint Sensing
Data Matching
Memory Device Manufacturing
Hybrid IMS CAM Cell
Analog Content-Address Memory
Memory Searching Engine
Flash Memory
92 patents (USPTO):Explore Patents

Title: Innovations and Patents of Yu-Hsuan Lin

Introduction: Yu-Hsuan Lin is a prominent inventor based in Taichung, Taiwan, known for his remarkable contributions to the field of artificial intelligence and neural networks. With a total of 79 patents to his name, he has made significant advancements in the way neural networks operate and are trained.

Latest Patents: Among his latest patents, Lin has developed an artificial neural network operation circuit and an in-memory computation device tailored for that circuit. This invention comprises a memory cell array equipped with numerous memory cells for storing various weight values, along with a compensation memory cell string and an operator. This setup enables efficient computation by multiplying signals through a compensation bit line with peak weight information to generate and aggregate multiple computation results. Furthermore, he has introduced a memory and training method for neural networks based on memory architecture. This innovative training method involves obtaining transfer functions related to influence factors, determining a coherent training plan, training the neural network accordingly, and programming the memory in line with the derived weights.

Career Highlights: Lin's professional journey includes significant roles at Macronix International Co., Ltd. and MediaTek Corporation, where he has further honed his skills and expanded his research into advanced computational methods for neural networks.

Collaborations: Throughout his career, Yu-Hsuan Lin has collaborated with esteemed colleagues such as Po-Hao Tseng and Chung-Yi Wang, contributing to the innovative research and development of cutting-edge technologies in the field of artificial intelligence.

Conclusion: Yu-Hsuan Lin stands out as an influential inventor in the realm of artificial intelligence and neural networks. His numerous patents reflect his dedication to innovation and his commitment to enhancing the performance and efficiency of neural computing systems. As he continues to advance the field, the impact of his inventions is sure to be felt across industries for years to come.

Profile summary based on public USPTO records.
Please report any incorrect information to [email protected]
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