Taipei, Taiwan

Kea-Tiong Tang


Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2015-2025

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7 patents (USPTO):Explore Patents

Title: Kea-Tiong Tang: Innovator in Computing Technologies

Introduction

Kea-Tiong Tang is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of computing, particularly in hardware and software integration. With a total of 7 patents, Tang's work focuses on enhancing the efficiency and performance of computing systems.

Latest Patents

One of his latest patents is a "Hardware/software co-compressed computing method and system for static random access memory computing-in-memory-based processing unit." This innovative method involves several steps, including data dividing, sparsity, address assigning, and hardware decoding. The process aims to optimize the performance of static random access memory (SRAM) in computing-in-memory-based processing units.

Another notable patent is the "Quantization method based on hardware of in-memory computing." This method provides a quantization parameter that includes quantized input activation and weights. It involves a series of steps such as parameter splitting, multiply-accumulate operations, and convolution quantization to enhance the efficiency of in-memory computing.

Career Highlights

Kea-Tiong Tang is affiliated with Tsinghua University, where he continues to advance research in computing technologies. His work has garnered attention for its innovative approaches to solving complex computing challenges.

Collaborations

Tang collaborates with esteemed colleagues, including Hsin Chia Chen and Chia-Min Yang, who contribute to his research endeavors. Their combined expertise fosters a dynamic research environment that drives innovation.

Conclusion

Kea-Tiong Tang's contributions to computing technologies through his patents and research at Tsinghua University highlight his role as a leading inventor in the field. His innovative methods are paving the way for advancements in hardware and software integration.

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