276 citations
- University of Science and Technology of ChinaCN33 papers
- Chinese Academy of SciencesCN15 papers
- Institute of Theoretical PhysicsCN11 papers
- University of Chinese Academy of SciencesCN11 papers
- Hefei National Center for Physical Sciences at NanoscaleCN9 papers
- Fuzhou UniversityCN8 papers
- Monash UniversityAU8 papers
- ARC Centre of Excellence for Mathematical and Statistical FrontiersAU6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Shanghai Research Center for Quantum SciencesCN5 papers
- Rutgers, The State University of New JerseyUS4 papers
- Wuyi UniversityCN4 papers
15 papers · 1 filter
Universality of closed nested paths in two-dimensional percolation
Yu-Feng Song, Jesper Lykke Jacobsen, Bernard Nienhuis +2
Recent work on percolation in [J. Phys. A {\bf 55} 204002] introduced an operator that gives a weight to configurations with `nested paths' (NP), i.e. disjo…
Emergent topological ordered phase for the Ising-XY Model revealed by cluster-updating Monte-Carlo method
Heyang Ma, Wanzhou Zhang, Yanting Tian +2
The two-component cold atom systems with anisotropic hopping amplitudes can be phenomenologically described by a two-dimensional Ising-XY coupled model with spatial anisotropy. At…
CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio
Gang Xu, Shuhao Wang, Lingyu Zhao +12
Histopathology image analysis plays a crucial role in cancer diagnosis. However, training a clinically applicable segmentation algorithm requires pathologists to engage in labour-i…
Sweeny dynamics for the random-cluster model with small
Zirui Peng, Eren Metin Elçi, Youjin Deng +1
The Sweeny algorithm for the -state random-cluster model in two dimensions is shown to exhibit a rich mixture of critical dynamical scaling behaviors. As decreases, the so-c…
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Zhongzheng Huang, Jiawei Wu, Tao Wang +2
Despite the success of deep neural networks in medical image classification, the problem remains challenging as data annotation is time-consuming, and the class distribution is imb…
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Tao Wang, Zhongzheng Huang, Jiawei Wu +2
Medical image segmentation has made significant progress when a large amount of labeled data are available. However, annotating medical image segmentation datasets is expensive due…