298 citations
- Beijing Institute of TechnologyCN27 papers
- Beijing Research Institute of Mechanical and Electrical TechnologyCN15 papers
- Chinese Academy of SciencesCN9 papers
- University of Science and Technology of ChinaCN7 papers
- Institute of PhysicsPL6 papers
- Beihang UniversityCN4 papers
- Institute of Information EngineeringCN4 papers
- University of Chinese Academy of SciencesCN4 papers
- Tsinghua UniversityCN3 papers
- Beijing Academy of Artificial IntelligenceCN2 papers
- Beijing Academy of Quantum Information SciencesCN2 papers
- Beijing Institute of Big Data ResearchCN2 papers
4 papers · 1 filter
FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting
Zhongzheng Yuan, Lianshuai Guo, Xunkai Li +3
Federated Graph Learning (FGL) is a distributed learning paradigm that enables collaborative training over large-scale subgraphs located on multiple local systems. However, most ex…
Discontinuity-aware KAN-based physics-informed neural networks
Guoqiang Lei, D. Exposito, Xuerui Mao
Physics-informed neural networks (PINNs) have proven to be a promising method for the rapid solving of partial differential equations (PDEs) in both forward and inverse problems. H…
Multiple Object Tracking in Video SAR: A Benchmark and Tracking Baseline
Haoxiang Chen, Wei Zhao, Rufei Zhang +2
In the context of multi-object tracking using video synthetic aperture radar (Video SAR), Doppler shifts induced by target motion result in artifacts that are easily mistaken for s…
High-Resolution Imaging of Plant Delayed Luminescence
Yan-Xia Liu, Hai-Yu Fan, Yu-Hao Wang +5
Delayed luminescence (DL) is a quantized signal that is characteristic of photoexcited molecules entering a relaxed state. Studying DL provides critical insight into photophysical…