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The Journal of the Acoustical Society of America|November 14, 2025
Physics-informed neural network with pretraining optimization for ocean acoustic field predictiona)Juncong Tang, Haiqiang Niu
The Journal of the Acoustical Society of America|September 3, 2020
A multi-task learning convolutional neural network for source localization in deep oceanYining Liu, Haiqiang Niu, Zhenglin Li
The Journal of the Acoustical Society of America|April 3, 2020
A feedforward neural network for direction-of-arrival estimationEmma Ozanich, Peter Gerstoft, Haiqiang Niu
The Journal of the Acoustical Society of America|October 2, 2017
Source localization in an ocean waveguide using supervised machine learningHaiqiang Niu, Emma Reeves, Peter Gerstoft
JASA Express Letters|March 1, 2023
Implementation of Bartlett matched-field processing using interpretable complex convolutional neural networkMingda Liu, Haiqiang Niu, Zhenglin Li
The Journal of the Acoustical Society of America|December 3, 2017
Ship localization in Santa Barbara Channel using machine learning classifiersHaiqiang Niu, Emma Ozanich, Peter Gerstoft
The Journal of the Acoustical Society of America|July 5, 2014
Theoretical analysis of warping operators for non-ideal shallow water waveguidesHaiqiang Niu, Renhe Zhang, Zhenglin Li
The Journal of the Acoustical Society of America|February 11, 2024
Source depth estimation with feature matching using convolutional neural networks in shallow waterMingda Liu, Haiqiang Niu, Zhenglin Li, et al.
The Journal of the Acoustical Society of America|December 2, 2021
Multiple source localization using learning-based sparse estimation in deep oceanYining Liu, Haiqiang Niu, Sisi Yang, et al.
The Journal of the Acoustical Society of America|April 24, 2023
Passive synthetic aperture for direction-of-arrival estimation using sparse Bayesian learningChao Ming, Haiqiang Niu, Zhenglin Li, et al.
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