This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Sambanova Systems, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Qinghua Li: Innovator in Neural Network Optimization
Introduction
Qinghua Li is a prominent inventor based in Palo Alto, CA (US). He has made significant contributions to the field of neural networks, particularly in optimizing tensor tiling. His innovative approach has the potential to enhance the efficiency of dataflow applications.
Latest Patents
Qinghua Li holds 1 patent for his work titled "Optimizing tensor tiling in neural networks based on a tiling cost model." This patent describes a method where a compiler analyzes a graph to determine a pipeline of operators based on shared dimensions of input and output tensors. The compiler makes tiling decisions that improve optimization objectives, ultimately enhancing the execution of applications on computing systems.
Career Highlights
Qinghua Li is currently employed at Sambanova Systems, Inc., where he continues to develop cutting-edge technologies in the realm of artificial intelligence and machine learning. His work focuses on improving the performance of neural networks through innovative optimization techniques.
Collaborations
One of his notable coworkers is Bowen Yang, with whom he collaborates on various projects aimed at advancing technology in their field.
Conclusion
Qinghua Li's contributions to neural network optimization exemplify the impact of innovative thinking in technology. His work not only advances the field but also sets a foundation for future developments in artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile