171 citations
- Hong Kong University of Science and TechnologyHK45 papers
- University of Hong KongHK24 papers
- Chinese Academy of SciencesCN8 papers
- University of Science and Technology of ChinaCN8 papers
- Cornell UniversityUS6 papers
- Peking UniversityCN5 papers
- Kavli Institute for Theoretical SciencesCN4 papers
- National Astronomical ObservatoriesCN4 papers
- University of the Basque CountryES4 papers
- Durham UniversityGB3 papers
- IkerbasqueES3 papers
- Institute of High Energy PhysicsCN3 papers
52 papers
Bouncing cosmologies from Born-Infeld-type gravity
Yermek Aldabergenov, Wei Lin, Rongjian Li +2
We construct a Born-Infeld-type modification of gravity, where is the Gauss-Bonnet term, by embedding Born-Infeld electrodynamics in a five-dimensional p…
Stellar Superradiance and Low-Energy Absorption in Dense Nuclear Media
Zhaoyu Bai, Vitor Cardoso, Yifan Chen +3
Ultralight bosons such as axions and dark photons are well-motivated hypothetical particles, whose couplings to ordinary matter can be effectively constrained by stellar cooling. L…
Searching for continuous gravitational waves in the Parkes Pulsar Timing Array Data Release 3
Shi-Yi Zhao, Zu-Cheng Chen, Jacob Cardinal Tremblay +19
We present results from an all-sky search for continuous gravitational waves from individual supermassive binary black holes using the third data release (DR3) of the Parkes Pulsar…
Cross-domain Hyperspectral Image Classification based on Bi-directional Domain Adaptation
Yuxiang Zhang, Wei Li, Wen Jia +3
Utilizing hyperspectral remote sensing technology enables the extraction of fine-grained land cover classes. Typically, satellite or airborne images used for training and testing a…
Circular Holographic MIMO Beamforming for Integrated Data and Energy Multicast Systems
Qingxiao Huang, Yizhe Zhao, Jie Hu +2
Thanks to the application of metamaterials, holographic multiple-input multiple-output (H-MIMO) is expected to achieve a higher spatial diversity gain with lower hardware complexit…
AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping
Wenyuan Li, Shunlin Liang, Keyan Chen +7
Accurate crop mapping fundamentally relies on modeling multi-scale spatiotemporal patterns, where spatial scales range from individual field textures to landscape-level context, an…