Beijing, China

He Qian

USPTO Granted Patents = 19 

Average Co-Inventor Count = 4.6

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2017-2025

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19 patents (USPTO):

Title: Innovations in Neural Technologies: The Contributions of He Qian

Introduction: He Qian is a distinguished inventor based in Beijing, China, known for his remarkable contributions to the field of neural technologies. With a total of 19 patents to his name, He Qian has made significant advancements in neuron simulation circuits and integrated computing devices, impacting both academic research and industry applications.

Latest Patents: Among He Qian’s latest innovations are two noteworthy patents: the "Neuron Simulation Circuit and Neural Network Apparatus" and the "Memory Computing Integrated Device and Calibration Method." The neuron simulation circuit leverages operational amplifiers and memristors to create a sophisticated model for simulating neuron behavior, which is crucial for advancing neural network technologies. The memory computing device combines storage and processing in a single integrated apparatus, utilizing advanced calibration methods to enhance performance through on-chip training of memristor arrays.

Career Highlights: He Qian has had an impressive career trajectory, contributing to notable institutions such as Tsinghua University and Tencent Technology (Shenzhen) Company Limited. His work not only focuses on theoretical advancements but also emphasizes practical applications in commercial environments, bridging the gap between research and technology deployment.

Collaborations: Throughout his career, He Qian has collaborated with prominent figures in the field, including colleagues Huaqiang Wu and Bin Gao. These partnerships have fostered innovative thinking and have played a critical role in the development of cutting-edge technologies in the domain of neural networks and memory computing.

Conclusion: He Qian stands out as a key player in the realm of innovations related to neural technologies, with his patents reflecting a commitment to enhancing our understanding and utilization of computational models. His contributions continue to inspire future advancements in the field, paving the way for new discoveries and applications in artificial intelligence and machine learning.

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