1 code implementation • 3 Nov 2023 • YuHang Zhou, He Yu, Siyu Tian, Dan Chen, Liuzhi Zhou, Xinlin Yu, Chuanjun Ji, Sen Liu, Guangnan Ye, Hongfeng Chai
While current NL2SQL tasks constructed using Foundation Models have achieved commendable results, their direct application to Natural Language to Graph Query Language (NL2GQL) tasks poses challenges due to the significant differences between GQL and SQL expressions, as well as the numerous types of GQL.
1 code implementation • 27 Nov 2022 • Wei Chen, Chen Li, Dan Chen, Xin Luo
Self-supervised pre-training has become the priory choice to establish reliable neural networks for automated recognition of massive biomedical microscopy images, which are routinely annotation-free, without semantics, and without guarantee of quality.
no code implementations • 26 Aug 2022 • Baomin Wang, Geng Hu, Dan Chen, Lihua Hu, Cheng Li, Yu An, Guiping Hu, Guang Jia
The coarse detection network is a multi-task detection framework based on circular bounding boxes for cells detection, and central key points for nucleus detection.