Publications (5)
An Evaluation of LLMs Inference on Popular Single-board Computers
Tung, Nguyen, Tuyen Nguyen
The growing demand for on-device large language model (LLM) inference is driving interest in deploying lightweight, cost-effective AI solutions on edge hardware. Single-board compu…
Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training
Nghia, Nguyen, Amer Wahed +9
Vision transformers (ViT) have been shown to allow for more flexible feature detection and can outperform convolutional neural network (CNN) when pre-trained on sufficient data. Du…
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans
Giang, Nguyen, Valerie Chen +2
Nearest neighbors (NN) are traditionally used to compute final decisions, e.g., in Support Vector Machines or k-NN classifiers, and to provide users with explanations for the model…
Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning
Ran Zhang, Duc Minh, Nguyen +4
In this chapter, the regulation of Unmanned Aerial Vehicle (UAV) communication network is investigated in the presence of dynamic changes in the UAV lineup and user distribution. W…
Analytically Tractable Bayesian Deep Q-Learning
Luong Ha, Nguyen, James-A. Goulet
Reinforcement learning (RL) has gained increasing interest since the demonstration it was able to reach human performance on video game benchmarks using deep Q-learning (DQN). The…