Jiangbing Sun
Biographic Data
| ID | 9966130 |
|---|---|
| NAME | Jiangbing Sun |
| GIVEN NAMES | Jiangbing |
| FAMILY NAME | Sun |
| SIGNATURE | SUN J |
| AFFILIATIONS | Hohai University |
| ORCID | 0009-0001-2377-1241 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Retrieval-Augmented Generation-Based Earth Surface System Association Network Optimization and Data Recommendation
The scientific data of the Earth surface system is characterized by multi-source heterogeneity and dynamic correlation, so constructing an efficient data association network and enabling intelligent knowledge services is a hot topic. Nevertheless, confronted with the existing challenges of onerous data acquisition, inadequate precision of data recommendation, excessive time and labor consumption, as well as insufficient semantic reasoning in inte…
Nav-Yolo
Precise object detection is fundamental to robust indoor navigation and localization. However, the practical deployment of deep learning-based detectors on mobile platforms is frequently impeded by their extensive parameter counts, substantial computational overhead, and prolonged inference latency, rendering them impractical for real-time and GPU-independent applications. To overcome these limitations, this paper presents Nav-YOLO, a highly opti…
No prominent works on this page.
Nav-Yolo
Precise object detection is fundamental to robust indoor navigation and localization. However, the practical deployment of deep learning-based detectors on mobile platforms is frequently impeded by their extensive parameter counts, substantial computational overhead, and prolonged inference latency, rendering them impractical for real-time and GPU-independent applications. To overcome these limitations, this paper presents Nav-YOLO, a highly opti…
Retrieval-Augmented Generation-Based Earth Surface System Association Network Optimization and Data Recommendation
The scientific data of the Earth surface system is characterized by multi-source heterogeneity and dynamic correlation, so constructing an efficient data association network and enabling intelligent knowledge services is a hot topic. Nevertheless, confronted with the existing challenges of onerous data acquisition, inadequate precision of data recommendation, excessive time and labor consumption, as well as insufficient semantic reasoning in inte…
Inference (2 works) · Advanced Graph Neural Networks (1 work) · Advanced Image and Video Retrieval Techniques (1 work) · Advanced Neural Network Applications (1 work) · Association rule learning (1 work) · Big Data and Digital Economy (1 work) · Bounding overwatch (1 work) · Centrality (1 work) · Convolutional neural network (1 work) · Deep learning (1 work)