- Advanced Image and Video Retrieval Techniques
- Caching and Content Delivery
- Data Management and Algorithms
- Advanced Image Fusion Techniques
- Cloud Computing and Resource Management
- Graph Theory and Algorithms
- Remote-Sensing Image Classification
- IoT and Edge/Fog Computing
Nanjing University of Science and Technology
2019-2024
Huazhong University of Science and Technology
2024
The large amount of data produced by satellites and airborne remote sensing instruments has posed important challenges to efficient scalable processing remotely sensed in the context various applications. In this paper, we propose a new big framework for massive amounts images on cloud computing platforms. addition taking advantage parallel abilities cope with large-scale data, incorporates task scheduling strategy further exploit parallelism during distributed stage. Using computation-...
Due to the high complexity of constructing exact k -nearest neighbor graphs, approximate construction has become a popular research topic. The NN-Descent algorithm is one representative in-memory algorithms. To effectively handle large datasets, existing state-of-the-art solutions combine divide-and-conquer approach and algorithm, where datasets are divided into multiple partitions, subgraph constructed for each partition before all subgraphs merged, reducing memory pressure significantly....