3 papers
cs.LG2024
High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descent
Qicong Hu, Hao Wu
Data characterized by high dimensionality and sparsity are commonly used to describe real-world node interactions. Low-rank representation (LR) can map high-dimensional sparse (HDS…
cs.NI2024
Throughput and Link Utilization Improvement in Satellite Networks: A Learning-Enabled Approach
Hao Wu
Satellite networks provide communication services to global users with an uneven geographical distribution. In densely populated regions, Inter-satellite links (ISLs) often experie…
cs.DB2024
A Survey of Learned Indexes for the Multi-dimensional Space
Abdullah Al-Mamun, Hao Wu, Qiyang He +2
A recent research trend involves treating database index structures as Machine Learning (ML) models. In this domain, single or multiple ML models are trained to learn the mapping f…