Company Filing History:
Years Active: 2025
Title: Innovations of Zhenghang Yang in Asset Recognition
Introduction
Zhenghang Yang is a prominent inventor based in Guangzhou, China. He has made significant contributions to the field of asset recognition through his innovative approaches. His work focuses on utilizing multimodal data to enhance the accuracy of asset identification.
Latest Patents
Zhenghang Yang holds a patent for a "Multimodal data heterogeneous transformer-based asset recognition method, system, and device." This invention discloses a method that includes collecting various-modal information of an asset, such as text and image information. The process involves building an ALBERT model, a ViT model, and a CLIP model. The ALBERT model extracts text information features, while the ViT model extracts image information features. The CLIP model is used to extract image-text matching information features. By applying asset type recognition to information in different modalities, the invention outputs classification information from various channels. Additionally, the CLIP model generates asset void information and fuses the classification information with the matching degree between image and text information, ultimately outputting final asset class information. This invention realizes comprehensive discrimination by leveraging multiple modalities to improve asset recognition accuracy.
Career Highlights
Zhenghang Yang is affiliated with Jinan University, where he continues to advance his research and development in asset recognition technologies. His work has garnered attention for its innovative approach and practical applications in various industries.
Collaborations
Zhenghang Yang collaborates with notable colleagues, including Feiran Huang and Zhibo Zhou. Their combined expertise contributes to the advancement of research in the field of asset recognition.
Conclusion
Zhenghang Yang's innovative contributions to asset recognition through multimodal data processing highlight the potential for improved accuracy in this field. His work at Jinan University and his patent demonstrate a commitment to advancing technology in asset identification.