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.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
One or two frequencies? The Iterative Filtering answers.
Appl. Math. Comput., February, 2024

Neural Control of Parametric Solutions for High-Dimensional Evolution PDEs.
SIAM J. Sci. Comput., 2024

IRCNN: A novel signal decomposition approach based on iterative residue convolutional neural network.
Pattern Recognit., 2024

Structured and Balanced Multi-component and Multi-layer Neural Networks.
CoRR, 2024

Parameterized Wasserstein Gradient Flow.
CoRR, 2024

A supervised learning scheme for computing Hamilton-Jacobi equation via density coupling.
CoRR, 2024

2023
Optimal Control for Stochastic Nonlinear Schrödinger Equation on Graph.
SIAM J. Control. Optim., August, 2023

Wasserstein Hamiltonian Flow with Common Noise on Graph.
SIAM J. Appl. Math., April, 2023

Neural Monge Map estimation and its applications.
Trans. Mach. Learn. Res., 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

Parameterized Wasserstein Hamiltonian Flow.
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

High-Dimensional Optimal Density Control with Wasserstein Metric Matching.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Discrete Langevin Samplers via Wasserstein Gradient Flow.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
A Continuation Multiple Shooting Method for Wasserstein Geodesic Equation.
SIAM J. Sci. Comput., 2022

Neural Parametric Fokker-Planck Equation.
SIAM J. Numer. Anal., 2022

Time discretizations of Wasserstein-Hamiltonian flows.
Math. Comput., 2022

Collective Motion Planning for a Group of Robots Using Intermittent Diffusion.
J. Sci. Comput., 2022

Path Exploration in Unknown Environments Using Fokker-Planck Equation on Graph.
J. Intell. Robotic Syst., 2022

Discrete Langevin Sampler via Wasserstein Gradient Flow.
CoRR, 2022

New theoretical insights in the decomposition and time-frequency representation of nonstationary signals: the IMFogram algorithm.
CoRR, 2022

Method of evolving junction on optimal path planning in flows fields.
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

Scalable Computation of Monge Maps with General Costs.
CoRR, 2021

Mean Field Game GAN.
CoRR, 2021

Learning High Dimensional Wasserstein Geodesics.
CoRR, 2021

Belief Space Partitioning for Symbolic Motion Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Stochastic Behaviour from Aggregate Data.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Equilibrium Selection via Optimal Transport.
SIAM J. Appl. Math., 2020

Double descent and intermittent color diffusion for landscape exploration.
Numer. Algorithms, 2020

Weak adversarial networks for high-dimensional partial differential equations.
J. Comput. Phys., 2020

Time-frequency representation of nonstationary signals: the FIFogram.
CoRR, 2020

Numerical Solution of Inverse Problems by Weak Adversarial Networks.
CoRR, 2020

Neural Parametric Fokker-Planck Equations.
CoRR, 2020

Learning Cost Functions for Optimal Transport.
CoRR, 2020

Learning Stochastic Behaviour of Aggregate Data.
CoRR, 2020

2019
Population Games and Discrete Optimal Transport.
J. Nonlinear Sci., 2019

Learning to Match via Inverse Optimal Transport.
J. Mach. Learn. Res., 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

Path Planning in Unknown Environments Using Optimal Transport Theory.
CoRR, 2019

Parametric Fokker-Planck Equation.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2018
Influence prediction for continuous-time information propagation on networks.
Networks Heterog. Media, 2018

Learning to Recommend via Inverse Optimal Matching.
CoRR, 2018

2017
Optimal Sensor Positioning; A Probability Perspective Study.
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

Method of evolving junctions: A new approach to optimal control with constraints.
Autom., 2017

Linking Micro Event History to Macro Prediction in Point Process Models.
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
Path optimization with limited sensing ability.
J. Comput. Phys., 2015

Hyperspectral Chemical Plume Detection Algorithms Based On Multidimensional Iterative Filtering Decomposition.
CoRR, 2015

Potential induced random teleportation on finite graphs.
Comput. Optim. Appl., 2015

2014
An inverse random source problem for the Helmholtz equation.
Math. Comput., 2014

Shortest paths through 3-dimensional cluttered environments.
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
Wavelets and PDE Techniques in Image Processing, A Quick Tour of.
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

Iterative Filtering as an Alternative Algorithm for Empirical Mode Decomposition.
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
Total Variation Wavelet Thresholding.
J. Sci. Comput., 2007

Adaptive multiresolution mesh refinement for the solution of evolution PDEs.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Total Variation Wavelet Inpainting.
J. Math. Imaging Vis., 2006

Wiener Chaos expansions and numerical solutions of randomly forced equations of fluid mechanics.
J. Comput. Phys., 2006

Total Variation Wavelet-Based Medical Image Denoising.
Int. J. Biomed. Imaging, 2006

2002
ENO-Wavelet Transforms for Piecewise Smooth Functions.
SIAM J. Numer. Anal., 2002

2000
Total Variation Improved Wavelet Thresholding in Image Compression.
Proceedings of the 2000 International Conference on Image Processing, 2000

1998
Feature Preserving Lossy Image Compression Using Nonlinear PDE's.
Proceedings of the Data Compression Conference, 1998


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