no code implementations • 22 Nov 2023 • Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Xianzhuo Sun, Jing Qiu, Zhao Xu, Fushuan Wen, Zhao Yang Dong
Applying large language models (LLMs) to modern power systems presents a promising avenue for enhancing decision-making and operational efficiency.
no code implementations • 29 Oct 2022 • Jinta Weng, Yue Hu, Jing Qiu, Heyan Huan
The effectiveness of prompt learning has been demonstrated in different pre-trained language models.
no code implementations • 18 Oct 2020 • Jinta Weng, Ying Gao, Jing Qiu, Guozhu Ding, Huanqin Zheng
Through the combination of crowdsourcing knowledge graph and teaching system, research methods to generate knowledge graph and its applications.
no code implementations • 1 Jun 2020 • Xiao-Lei Yin, Dong-Xue Liang, Lu Wang, Jing Qiu, Zhi-Yun Yang, Jun-Hui Xing, Jian-Zeng Dong, Zhao-Yuan Ma
With the help of this technology, doctors can significantly reduce exposure frequency and intensity of the X-ray during coronary angiography.
no code implementations • 26 Mar 2020 • Lu Wang, Dong-Xue Liang, Xiao-Lei Yin, Jing Qiu, Zhi-Yun Yang, Jun-Hui Xing, Jian-Zeng Dong, Zhao-Yuan Ma
This article proposes a new video segmentation framework that can extract the clearest and most comprehensive coronary angiography images from a video sequence, thereby helping physicians to better observe the condition of blood vessels.
no code implementations • 26 Mar 2020 • Lu Wang, Dong-Xue Liang, Xiao-Lei Yin, Jing Qiu, Zhi-Yun Yang, Jun-Hui Xing, Jian-Zeng Dong, Zhao-Yuan Ma
The reconstruction of three-dimensional models of coronary arteries is of great significance for the localization, evaluation and diagnosis of stenosis and plaque in the arteries, as well as for the assisted navigation of interventional surgery.