Jindong Xu
Biographic Data
| ID | 9897705 |
|---|---|
| NAME | Jindong Xu |
| GIVEN NAMES | Jindong |
| FAMILY NAME | Xu |
| SIGNATURE | XU J |
| AFFILIATIONS | Yantai University |
| ORCID | 0000-0001-6688-5014 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Heterogeneous Network Representation Learning Approach for Ethereum Identity Identification
Recently, network representation learning has been widely used to mine and analyze network characteristics, and it is also applied to blockchain, but most of the embedding methods in blockchain ignore the heterogeneity of network, so it is difficult to accurately describe the characteristics of the transaction. As smart society evolves, Ethereum makes smart contracts reality, while the mine of transaction characteristics appearing on the Ethereum…
A Novel Lane Line Detection Algorithm for Driverless Geographic Information Perception Using Mixed-Attention Mechanism ResNet and Row Anchor Classification
Lane line detection is a fundamental and critical task for geographic information perception of driverless and advanced assisted driving. However, the traditional lane line detection method relies on manual adjustment of parameters, and has poor universality, a heavy workload, and poor robustness. Most deep learning-based methods make it difficult to effectively balance accuracy and efficiency. To improve the comprehensive perception ability of l…
No prominent works on this page.
Heterogeneous Network Representation Learning Approach for Ethereum Identity Identification
Recently, network representation learning has been widely used to mine and analyze network characteristics, and it is also applied to blockchain, but most of the embedding methods in blockchain ignore the heterogeneity of network, so it is difficult to accurately describe the characteristics of the transaction. As smart society evolves, Ethereum makes smart contracts reality, while the mine of transaction characteristics appearing on the Ethereum…
A Novel Lane Line Detection Algorithm for Driverless Geographic Information Perception Using Mixed-Attention Mechanism ResNet and Row Anchor Classification
Lane line detection is a fundamental and critical task for geographic information perception of driverless and advanced assisted driving. However, the traditional lane line detection method relies on manual adjustment of parameters, and has poor universality, a heavy workload, and poor robustness. Most deep learning-based methods make it difficult to effectively balance accuracy and efficiency. To improve the comprehensive perception ability of l…
Computer Science (2 works) · Advanced Graph Neural Networks (1 work) · Advanced Neural Network Applications (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Autonomous Vehicle Technology and Safety (1 work) · Blockchain Technology Applications and Security (1 work) · Computer vision (1 work) · Data mining (1 work) · Database (1 work)