704 citations
- Shanghai Jiao Tong UniversityCN57 papers
- Shanxi UniversityCN57 papers
- Fudan UniversityCN47 papers
- Chinese Academy of SciencesCN43 papers
- Chongqing Normal UniversityCN41 papers
- New York University ShanghaiCN41 papers
- Centre National de la Recherche ScientifiqueFR28 papers
- ETH ZurichCH25 papers
- Paul Scherrer InstituteCH23 papers
- New York UniversityUS19 papers
- Shanghai Key Laboratory of Trustworthy ComputingCN19 papers
- Zhejiang UniversityCN18 papers
51 papers · 1 filter
A possible evidence of the gluon condensation effect in cosmic positron and gamma-ray spectra
Wei Zhu, Peng Liu, Jianhong Ruan +1
The gluon condensation effect in cosmic proton-proton collisions at high energy is used to explain an excess in the positron spectrum observed by AMS. We find that this excess may…
Translating multispectral imagery to nighttime imagery via conditional generative adversarial networks
Xiao Huang, Dong Xu, Zhenlong Li +1
Nighttime satellite imagery has been applied in a wide range of fields. However, our limited understanding of how observed light intensity is formed and whether it can be simulated…
Cooper pair polaritons in cold fermionic atoms within a cavity
Amaury Dodel, Alexander Pikovski, Igor Ermakov +4
We formulate a Bardeen-Cooper-Schriffer (BCS) theory of quasiparticles in a degenerate Fermi gas strongly coupled to photons in a optical cavity. The elementary photonic excitation…
Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks
Jun Jia, Zhongpai Gao, Kang Chen +4
In the era of multimedia and Internet, people are eager to obtain information from offline to online. Quick Response (QR) codes and digital watermarks help us access information qu…
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Zhuo Wang, Wei Zhang, Ning Liu +1
Models with transparent inner structure and high classification performance are required to reduce potential risk and provide trust for users in domains like health care, finance,…
Adversarial Attack with Pattern Replacement
Ziang Dong, Liang Mao, Shiliang Sun
We propose a generative model for adversarial attack. The model generates subtle but predictive patterns from the input. To perform an attack, it replaces the patterns of the input…