Ruqian Zhang

Title: Ruqian Zhang: Innovator in Deep Learning Model Interpretation

Introduction

Ruqian Zhang is a prominent inventor based in Wuhan, China. He has made significant contributions to the field of deep learning, particularly in the interpretation of models used for code classification. His innovative approach has garnered attention in both academic and industrial circles.

Latest Patents

Ruqian Zhang holds a patent for a "Sample-difference-based method and system for interpreting deep-learning model for code classification." This patent describes a method that includes off-line training of an interpreter by constructing code transformations for every code sample in a training set to generate difference samples. The process involves generating difference samples through feature deletion and code snippets extraction, calculating feature importance scores, and inputting these into a neural network to create a trained interpreter. The on-line interpretation of code samples utilizes this trained interpreter to extract important features and identify training samples that contribute most to predictions, ultimately generating interpretation results for the object samples.

Career Highlights

Ruqian Zhang is affiliated with Huazhong University of Science and Technology, where he continues to advance research in deep learning and its applications. His work has not only contributed to theoretical advancements but also practical applications in software development and code analysis.

Collaborations

Ruqian has collaborated with notable colleagues such as Zhen Li and Deqing Zou, enhancing the scope and impact of his research through teamwork and shared expertise.

Conclusion

Ruqian Zhang's innovative contributions to deep learning model interpretation exemplify the intersection of technology and research. His work continues to influence the field and inspire future advancements in code classification systems.