Kun Zhang

Title: Kun Zhang: Innovator in Parameter-Efficient Finetuning

Introduction

Kun Zhang is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the field of machine learning and artificial intelligence. His innovative approach focuses on parameter-efficient finetuning mechanisms that enhance the performance of models across various domains.

Latest Patents

Kun Zhang holds a patent titled "Systems and methods for finetuning with learned hidden representations of parameter changes." This patent describes a parameter-efficient finetuning mechanism, referred to as 'factor-tuning.' The mechanism first learns a compact representation of parameter changes using existing datasets across multiple domains. It then fine-tunes a small number of parameters, which are automatically extracted from the learned representation, on a new downstream task. This approach allows for the representation learned in the first step to be shared across domains and effectively transferred to new downstream tasks. He has 1 patent to his name.

Career Highlights

Kun Zhang is currently employed at Salesforce, Inc., where he continues to develop innovative solutions in the field of artificial intelligence. His work has garnered attention for its potential to streamline processes and improve model efficiency.

Collaborations

Some of his notable coworkers include Wenzhuo Yang and Chu Hong Hoi. Their collaborative efforts contribute to the advancement of technology and innovation within their organization.

Conclusion

Kun Zhang is a key figure in the realm of parameter-efficient finetuning, with a focus on enhancing machine learning models. His contributions are paving the way for more efficient and effective AI solutions.