Underwater Acoustic
Underwater acoustic research focuses on understanding and utilizing sound propagation in aquatic environments for various applications, including marine mammal monitoring, target recognition, and navigation. Current research emphasizes developing advanced signal processing techniques, particularly deep learning models like convolutional neural networks and transformers, to improve noise reduction, target identification (e.g., ships, fish), and localization in challenging underwater conditions. These advancements are crucial for enhancing marine environmental monitoring, improving underwater vehicle autonomy, and furthering our understanding of marine ecosystems.
Papers
Adversarial multi-task underwater acoustic target recognition: towards robustness against various influential factors
Yuan Xie, Ji Xu, Jiawei Ren, Junfeng Li
Advancing Robust Underwater Acoustic Target Recognition through Multi-task Learning and Multi-Gate Mixture-of-Experts
Yuan Xie, Jiawei Ren, Junfeng Li, Ji Xu