Xiliang Chen

Adaptive learning and evolution framework of intelligent combat behavior modeling based on EXIT framework reasoning

2019 · Journal of Physics Conference Series

The intelligent combat behavior modelling has always been a hot topic in the field of artificial intelligence and military. Aiming at the requirement of development of intelligent equipment in complex battlefield, this paper proposes an …

Tag-Aware Recommender System Based on Deep Reinforcement Learning

2021 · Mathematical Problems in Engineering

Recently, the application of deep reinforcement learning in the recommender system is flourishing and stands out by overcoming drawbacks of traditional methods and achieving high recommendation quality. The dynamics, long-term returns, and sparse data issues …

MMML: Multimanifold Metric Learning for Few-Shot Remote-Sensing Image Scene Classification

2023 · IEEE Transactions on Geoscience and Remote Sensing

Deep neural networks driven by large amounts of annotated samples have been successfully applied in remote sensing scene classification (RSSC). On most common public datasets, the accuracies of scene recognition tasks have been close to …