Shaohua Wang

Title: Innovations of Shaohua Wang in Image Retrieval Technology

Introduction

Shaohua Wang is a prominent inventor based in Jinan, China. He has made significant contributions to the field of image retrieval technology, particularly in the logistics sector. His innovative approach focuses on enhancing the efficiency and effectiveness of retrieving massive logistics product images.

Latest Patents

One of Shaohua Wang's notable patents is titled "Multi-task deep hash learning-based retrieval method for massive logistics product images." This patent presents a multi-task deep Hash learning-based retrieval method that allows for the simultaneous learning of Hash codes of various lengths as high-level image representations. This method addresses the limitations of single-tasking approaches, which often lead to wasted hardware resources and increased time costs due to model retraining. By mining the information association among Hash codes of different lengths, Wang's method improves the representational capacity of Hash codes, thereby enhancing retrieval performance.

Career Highlights

Shaohua Wang is affiliated with Shandong Jianzhu University, where he continues to advance research in image retrieval technologies. His work has garnered attention for its innovative solutions to complex problems in logistics and image processing.

Collaborations

Shaohua Wang has collaborated with notable colleagues, including Xiushan Nie and Letian Wang. Their joint efforts contribute to the ongoing development of advanced technologies in their field.

Conclusion

Shaohua Wang's contributions to image retrieval technology exemplify the impact of innovative thinking in addressing real-world challenges. His work not only enhances retrieval performance but also sets a foundation for future advancements in the field.