Jiantan Liu

Title: Innovations of Jiantan Liu in Convolutional Neural Networks

Introduction

Jiantan Liu is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of convolutional neural networks, particularly in the area of data processing and classification. With a total of three patents to his name, Liu's work is recognized for its innovative approach to enhancing computational efficiency.

Latest Patents

One of Jiantan Liu's latest patents focuses on a tiling format for convolutional neural networks. This patent discloses systems, apparatuses, and methods for converting data into a tiling format when implementing convolutional neural networks. The system includes a memory, a cache, a processor, and multiple compute units. The memory stores a first buffer and a second buffer in a linear format, where the first buffer contains convolutional filter data and the second buffer holds image data. The processor is responsible for converting these buffers from a linear format to a tiling format. The compute units then load the tiling-formatted data from the buffers into the cache and perform convolutional filter operations. This innovative system generates classifications of datasets based on the results of these operations.

Career Highlights

Jiantan Liu is currently employed at Advanced Micro Devices Corporation, where he continues to develop cutting-edge technologies in the field of artificial intelligence and machine learning. His work has been instrumental in advancing the capabilities of convolutional neural networks, making them more efficient and effective for various applications.

Collaborations

Some of Jiantan Liu's notable coworkers include Song Zhang and Hua Zhang. Their collaborative efforts contribute to the innovative environment at Advanced Micro Devices Corporation, fostering advancements in technology.

Conclusion

Jiantan Liu's contributions to the field of convolutional neural networks exemplify the impact of innovative thinking in technology. His patents reflect a commitment to enhancing computational processes, paving the way for future advancements in artificial intelligence.