Yancai Xu
Biographic Data
| ID | 10055250 |
|---|---|
| NAME | Yancai Xu |
| GIVEN NAMES | Yancai |
| FAMILY NAME | Xu |
| SIGNATURE | XU Y |
| AFFILIATIONS | Chinese Academy of Sciences |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
HackGAN
Network alignment (NA) that identifies equivalent nodes across networks is an effective tool for integrating knowledge from multiple networks. The state-of-the-art NA methods learn inter-network node similarities based on labeled anchor links, which are costly, time-consuming, and difficult to acquire. Therefore, a few unsupervised network alignment (UNA) methods propose solving NA problems without anchor links. However, most existing UNA methods…
An IVC-Based Nuclear Emergency Parallel Evacuation System
Nuclear emergency evacuation is challenging and dangerous, with time constraints, resource limitations, and radiation exposure risks. The development of the Internet of Things (IoT) and artificial intelligence enables us to build an intelligent evacuation system to help mitigate this problem a great deal. In this article, we design the nuclear emergency parallel evacuation system based on the artificial systems (A), computational experiments (C),…
No prominent works on this page.
An IVC-Based Nuclear Emergency Parallel Evacuation System
Nuclear emergency evacuation is challenging and dangerous, with time constraints, resource limitations, and radiation exposure risks. The development of the Internet of Things (IoT) and artificial intelligence enables us to build an intelligent evacuation system to help mitigate this problem a great deal. In this article, we design the nuclear emergency parallel evacuation system based on the artificial systems (A), computational experiments (C),…
HackGAN
Network alignment (NA) that identifies equivalent nodes across networks is an effective tool for integrating knowledge from multiple networks. The state-of-the-art NA methods learn inter-network node similarities based on labeled anchor links, which are costly, time-consuming, and difficult to acquire. Therefore, a few unsupervised network alignment (UNA) methods propose solving NA problems without anchor links. However, most existing UNA methods…
Artificial Intelligence (2 works) · Computer Science (2 works) · Advanced Graph Neural Networks (1 work) · Algorithm (1 work) · Artificial neural network (1 work) · Bioinformatics and Genomic Networks (1 work) · Complex Network Analysis Techniques (1 work) · Computer security (1 work) · Data mining (1 work) · Discriminative model (1 work)