88 citations
- Center for Life SciencesCN3 papers
- Tsinghua UniversityCN3 papers
- Beihang UniversityCN2 papers
- Beijing Academy of Artificial IntelligenceCN2 papers
- McGovern Institute for Brain ResearchUS2 papers
- Peking UniversityCN2 papers
- Beijing Information Science & Technology UniversityCN1 paper
- Beijing Normal UniversityCN1 paper
- Capital Normal UniversityCN1 paper
- China Mobile (China)CN1 paper
- Chinese Academy of SciencesCN1 paper
- Institute of BiophysicsCN1 paper
6 papers
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence
Liyuan Wang, Xingxing Zhang, Qian Li +4
Continual learning aims to empower artificial intelligence (AI) with strong adaptability to the real world. For this purpose, a desirable solution should properly balance memory st…
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness
Zhanhao Hu, Jun Zhu, Bo Zhang +1
Recent works found that deep neural networks (DNNs) can be fooled by adversarial examples, which are crafted by adding adversarial noise on clean inputs. The accuracy of DNNs on ad…
LiNbO volatile memristors for reservoir computing
Zhao Yuanxi, Duan Wenrui, Li Huanglong
In conventional digital computers, data and information are represented in binary form and encoded in the steady states of transistors. They are then processed in a quasi-static wa…
Moment-based space-variant Shack-Hartmann wavefront reconstruction
Fan Feng, Chen Liang, Dongdong Chen +9
Based on image moment theory, an approach for space-variant Shack-Hartmann wavefront reconstruction is presented in this article. The relation between the moment of a pair of subim…
Space-variant Shack-Hartmann wavefront sensing based on affine transformation estimation
Fan Feng, Chen Liang, Dongdong Chen +7
The space-variant wavefront reconstruction problem inherently exists in deep tissue imaging. In this paper,we propose a framework of Shack-Hartmann wavefront space-variant sensing…
Solving the inverse problem of noise-driven dynamic networks
Zhaoyang Zhang, Zhigang Zheng, Haijing Niu +3
Nowadays massive amount of data are available for analysis in natural and social systems. Inferring system structures from the data, i.e., the inverse problem, has become one of th…