4 papers
Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing
Laha Ale, Letian Lin, Na Cao +2
Accurate traffic forecasting is essential for proactive resource management in edge computing, where service demand evolves dynamically across both space and time. In practical cel…
A Geometric Theory of Cognition for Machine Intelligence
Laha Ale
Developing artificial agents that unify representation, memory, adaptation, and prediction remains a fundamental challenge in artificial intelligence. Here we introduce a geometric…
Switchable Activation Networks
Laha Ale, Ning Zhang, Scott A. King +1
Deep neural networks, and more recently large-scale generative models such as large language models (LLMs) and large vision-action models (LVAs), achieve remarkable performance acr…
Lightweight Edge Learning via Dataset Pruning
Laha Ale, Hu Luo, Mingsheng Cao +3
Edge learning facilitates ubiquitous intelligence by enabling model training and adaptation directly on data-generating devices, thereby mitigating privacy risks and communication…