Haomin Zhou
Affiliations:- Georgia Institute of Technology, School of Mathematics, Atlanta, GA, USA
According to our database1,
Haomin Zhou
authored at least 74 papers
between 1998 and 2024.
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Bibliography
2024
Appl. Math. Comput., February, 2024
SIAM J. Sci. Comput., 2024
IRCNN: A novel signal decomposition approach based on iterative residue convolutional neural network.
Pattern Recognit., 2024
A supervised learning scheme for computing Hamilton-Jacobi equation via density coupling.
CoRR, 2024
2023
SIAM J. Control. Optim., August, 2023
SIAM J. Appl. Math., April, 2023
RRCNN<sup>+</sup>: An Enhanced Residual Recursive Convolutional Neural Network for Non-stationary Signal Decomposition.
CoRR, 2023
RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network.
CoRR, 2023
Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study.
CoRR, 2023
Intermittent diffusion-based path planning for heterogeneous groups of mobile sensors in cluttered environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
SIAM J. Sci. Comput., 2022
J. Sci. Comput., 2022
J. Intell. Robotic Syst., 2022
New theoretical insights in the decomposition and time-frequency representation of nonstationary signals: the IMFogram algorithm.
CoRR, 2022
Auton. Robots, 2022
2021
Numerical analysis for iterative filtering with new efficient implementations based on FFT.
Numerische Mathematik, 2021
Bounded Cost Path Planning for Underwater Vehicles Assisted by a Time-Invariant Partitioned Flow Field Model.
Frontiers Robotics AI, 2021
IF2CNN: Towards non-stationary time series feature extraction by integrating iterative filtering and convolutional neural networks.
Expert Syst. Appl., 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Numer. Algorithms, 2020
J. Comput. Phys., 2020
2019
A 2-Stage Strategy for Non-Stationary Signal Prediction and Recovery Using Iterative Filtering and Neural Network.
J. Comput. Sci. Technol., 2019
EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction.
Expert Syst. Appl., 2019
Proceedings of the Geometric Science of Information - 4th International Conference, 2019
2018
Networks Heterog. Media, 2018
2017
SIAM J. Sci. Comput., 2017
A Weak Galerkin Finite Element Method for a Type of Fourth Order Problem Arising from Fluorescence Tomography.
J. Sci. Comput., 2017
Seafloor identification in sonar imagery via simulations of Helmholtz equations and discrete optimization.
J. Comput. Phys., 2017
Method of evolving junctions: A new approach to optimal path-planning in 2D environments with moving obstacles.
Int. J. Robotics Res., 2017
Autom., 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Optimal averages for nonlinear signal decompositions - Another alternative for empirical mode decomposition.
Signal Process., 2016
A Multiscale Computation for Highly Oscillatory Dynamical Systems using EMPIRICAL MODE DECOMPOSITION (EMD)-type Methods.
Multiscale Model. Simul., 2016
2015
Hyperspectral Chemical Plume Detection Algorithms Based On Multidimensional Iterative Filtering Decomposition.
CoRR, 2015
2014
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
2010
Randomization of Forcing in Large Systems of PDEs for Improvement of Energy Estimates.
Multiscale Model. Simul., 2010
2009
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009
Wiener Chaos Expansion and Simulation of Electromagnetic Wave Propagation Excited by a Spatially Incoherent Source.
Multiscale Model. Simul., 2009
Adv. Data Sci. Adapt. Anal., 2009
2008
A Hierarchical Multiresolution Adaptive Mesh Refinement for the Solution of Evolution PDEs.
SIAM J. Sci. Comput., 2008
2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
Wiener Chaos expansions and numerical solutions of randomly forced equations of fluid mechanics.
J. Comput. Phys., 2006
2002
2000
Proceedings of the 2000 International Conference on Image Processing, 2000
1998
Proceedings of the Data Compression Conference, 1998