239 citations · 340 across the 8 of their papers we have counts for
8 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…
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…
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…
Deep Bayesian Learning for Car Hacking Detection
Laha Ale, Scott A. King, Ning Zhang
With the rise of self-drive cars and connected vehicles, cars are equipped with various devices to assistant the drivers or support self-drive systems. Undoubtedly, cars have becom…
D3PG: Dirichlet DDPG for Task Partitioning and Offloading with Constrained Hybrid Action Space in Mobile Edge Computing
Laha Ale, Scott A. King, Ning Zhang +2
Mobile Edge Computing (MEC) has been regarded as a promising paradigm to reduce service latency for data processing in the Internet of Things, by provisioning computing resources a…
Spatio-Temporal Bayesian Learning for Mobile Edge Computing Resource Planning in Smart Cities
Laha Ale, Ning Zhang, Scott A. King +1
A smart city improves operational efficiency and comfort of living by harnessing techniques such as the Internet of Things (IoT) to collect and process data for decision making. To…
Delay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning
Laha Ale, Ning Zhang, Xiaojie Fang +3
Internet of Things (IoT) is considered as the enabling platform for a variety of promising applications, such as smart transportation and smart city, where massive devices are inte…