Jian Cheng

Title: Innovations of Inventor Jian Cheng

Introduction

Jian Cheng is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of fuel cell technology and deep learning. With a total of 5 patents, his work reflects a commitment to advancing technology and improving efficiency in various applications.

Latest Patents

One of Jian Cheng's latest patents is an "Electrolyte replenishment method for molten carbonate fuel cell stack." This method involves preparing an electrolyte colloidal solution containing 10% to 20% of the electrolyte with a viscosity of 200 to 800 Pa·s. The process includes replenishing the electrolyte of the cell stack, allowing it to adhere to an electrode and an internal channel, discharging excess electrolyte, and drying under inert gas conditions to complete the replenishment. Another notable patent is the "Deep convolutional neural network acceleration and compression method based on parameter quantification." This method quantizes parameters of a deep convolutional neural network to achieve acceleration and compression, enhancing the performance of neural networks.

Career Highlights

Jian Cheng has worked with esteemed organizations such as the Chinese Academy of Sciences and Nokia Corporation. His experience in these institutions has allowed him to develop innovative solutions and contribute to cutting-edge research.

Collaborations

Throughout his career, Jian Cheng has collaborated with notable colleagues, including Jiaxiang Wu and Cong Leng. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Jian Cheng's contributions to technology through his patents and collaborations highlight his role as a leading inventor in his field. His work continues to influence advancements in fuel cell technology and deep learning applications.