Recently, a research paper titled “Dual-Modal Edible Oil Impurity Dataset for Weak Feature Detection” jointly supervised by Li Ming and Zhao Ying from the Intelligent Vision Team of School of Electronics and Information Engineering (SEIE) was published inScientific Data, a journal underNature. The journal specializes in datasets and research promoting the sharing and reuse of scientific data. It is an SCI Q1 journal with a five-year impact factor of 8.9. The research, with SDJU as the first institution, was completed in collaboration with researchers from Tongji University and Shanghai Jiao Tong University School of Medicine. The co-first authors are Wang Huiyu and Chen Qianghua (graduate students majoring in Electrical Engineering), as well as Zhao Jianding (graduate student majoring in Electronic Information).
