327 citations
- Capital Normal UniversityCN22 papers
- Max Planck Institute for MathematicsDE17 papers
- Max Planck Institute for Mathematics in the SciencesDE16 papers
- Chinese Academy of SciencesCN13 papers
- Nanjing UniversityCN11 papers
- Shandong UniversityCN11 papers
- Tsinghua UniversityCN9 papers
- National Astronomical ObservatoriesCN8 papers
- University of Chinese Academy of SciencesCN8 papers
- Institute of Modern PhysicsCN7 papers
- The University of TokyoJP7 papers
- Waseda UniversityJP7 papers
105 papers
Distributed Convex Second-Order Optimization for AC/DC Hybrid Distribution Systems within PROcess Orchestration Framework
Xinliang Dai, Yuning Jiang, Junyi Zhai +5
Existing operation formulations for AC/DC distribution grid often oversimplify the interplay of AC/DC interconnections and VSC characteristics. Moreover, current distributed algori…
FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion
Lei Guo, Ting Yang, Xu Yu +3
As user behavior data becomes increasingly scattered across different platforms, achieving cross-domain knowledge fusion while preserving privacy has become a critical issue in rec…
Combined analysis of the data on cross sections and spin density matrix elements for photoproduction reactions
Ai-Chao Wang, Neng-Chang Wei, Fei Huang
In our earlier work [Phys. Rev. C \textbf{98}, 045209 (2018)], we analyzed the differential cross-section data from the CLAS Collaboration for the reactions and…
On fully entangled fraction of arbitrary quantum states
Xue-Na Zhu, Gui Bao, Ming Li +2
We study the fully entangled fraction of quantum states based on the Bloch representation of density matrices. Analytical upper bounds on the fully entangled fraction are obtained…
Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images
Shanwen Wang, Xin Sun, Danfeng Hong +1
The semi-supervised semantic segmentation (S4) can learn rich visual knowledge from low-cost unlabeled images. However, traditional S4 architectures all face the challenge of low-q…
Quantum-inspired Bayesian probability algorithm for nuclear mass predictions
Kaizhong Tan, Jian Liu, Chuan Wang
In this study, a novel quantum-inspired Bayesian probability (QIBP) algorithm, informed by quantum dynamics, is proposed to improve the predictions of nuclear mass from theoretical…