Author

Dongyuan Shi

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2026

Contrastive Learning With Intra-Recording Pairs for Small-Sample Underwater Acoustic Target Recognition

Passive acoustic monitoring (PAM) is a pivotal technology in ocean observation and surveillance. Although deep-learning-based passive underwater acoustic target recognition (UATR) has advanced rapidly, supervised approaches still face two challenges. First, labeled passive sonar data required for model training are sca...

Xi-Ling Yao, Jie Chen, Dong-Yuan Shi et al. · IEEE Geoscience and Remote S... · 0 citations

Preprint Jul 2026

Model-Agnostic Meta-Learning Initialization for Distributed Multichannel Active Noise Control

A model-agnostic meta-learning (MAML) based initialization strategy for DMCANC that achieves substantially faster convergence and improved noise reduction performance compared with conventional DMCANC, highlighting the potential of MAML initialization as an effective method for large-scale ANC.

Xiaoyi Shen, Junwei Ji, Woon-seng Gan et al. · 0 citations

Preprint Aug 2026

Deep Learning-Based Active Trim Panels for Enhanced Aircraft Interior Noise Control

A temperature-perceptive SFANC (TP-SFANC) approach is proposed that employs a lightweight one-dimensional convolutional neural network (1D CNN) trained using a multi-task learning strategy to dynamically select the optimal control filter.

Boxiang Wang, M. Misol, Zheng-wu Luo et al. · 2 citations