A research team led by Professor WANG Hongzhi from the Institute of Health and Medical Technology, the Hefei Institute of Physical Science of the Chinese Academy of Sciences, has developed a multi-stage dual-domain progressive network with synergistic training for sparse-view CT (SVCT) reconstruction.
A research team led by Prof. QIN Yusheng from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep learning model that significantly enhances both the accuracy and interpretability of roadside air pollutant forecasting.
Recently, a research team led by Prof. HUANG Qunying from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, together with the Shenyang National Laboratory for Materials Science, has successfully achieved almost defect-free bonding between China low activation martensitic (CLAM) steel and oxide dispersion strengthened (ODS) alloy via the hot compression bonding (HCB) method.
Recently, the research team from the Institute of Intelligent Machines at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has introduced IPENS, an innovative framework integrating Neural Radiance Fields (NeRF) with Segment Anything Model 2 (SAM2).
Recently, the research team led by Professor WANG Hongzhi from the Institute of Health and Medical Technology, the Hefei Institute of Physical Science of the Chinese Academy of Sciences, successfully developed a dual-functional sensor chip, PlasmoBridge, which bridges plasmonic nanoparticles using aptamer molecules.