Nuo'er Long, a Master's student in the Big Data and Internet of Things programme at Macao Polytechnic University, has successfully published a paper in the prestigious international journal "IEEE Transactions on Multimedia" (impact factor = 9.7). This marks the first time a student from the Big Data and Internet of Things Master’s programme at Macao Polytechnic University has led a publication in a journal of TMM’s calibre. Under the supervision of Dr. Yue Sun, the student authored a research paper titled “Multi-Granularity Query Network with Adaptive Category Feature Embedding for Behavior Recognition.”
The paper focuses on the complex challenge of cross-species behavior recognition and introduces an innovative Multi-Granularity Behavior Recognition Network (MGBRN). By incorporating an adaptive category feature embedding mechanism, the model significantly enhances the representation and classification of behaviors across different species. This approach holds broad application potential and research value in fields such as intelligent video analysis and animal behavior monitoring.
As a leading international journal in multimedia and artificial intelligence, "IEEE Transactions on Multimedia" (TMM) is ranked in the Q1 category of computer science journals in both SCI and Chinese Academy of Sciences journal rankings, reflecting its high academic impact and recognition.
This achievement demonstrates the growing research prowess of Macao Polytechnic University in the fields of artificial intelligence and interdisciplinary studies, as well as the maturing framework of its research training system and its expanding international academic influence. The university will continue to encourage postgraduate students to actively engage in high-level scientific research and promote the publication of more original findings on internationally renowned platforms, thereby scaling new heights in both research and teaching at Macao Polytechnic University.