Haomin Zhou

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 64

Top Topics

Empirical Mode Decomposition

Top Venues

J. Comput. Phys.

SIAM J. Sci. Comput.

SIAM J. Appl. Math.

Publications

Yijie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou
Parameterized Wasserstein Gradient Flow. CoRR (2024)
Feng Zhou, Antonio Cicone, Haomin Zhou
IRCNN: A novel signal decomposition approach based on iterative residue convolutional neural network. Pattern Recognit. 155 (2024)
Antonio Cicone, Stefano Serra Capizzano, Haomin Zhou
One or two frequencies? The Iterative Filtering answers. Appl. Math. Comput. 462 (2024)
Jianbo Cui, Shu Liu, Haomin Zhou
A supervised learning scheme for computing Hamilton-Jacobi equation via density coupling. CoRR (2024)
Shijun Zhang, Hongkai Zhao, Yimin Zhong, Haomin Zhou
Structured and Balanced Multi-component and Multi-layer Neural Networks. CoRR (2024)
Nathan Gaby, Xiaojing Ye, Haomin Zhou
Neural Control of Parametric Solutions for High-Dimensional Evolution PDEs. SIAM J. Sci. Comput. 46 (2) (2024)
Shijun Zhang, Hongkai Zhao, Yimin Zhong, Haomin Zhou
Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study. CoRR (2023)
Nathan Gaby, Xiaojing Ye, Haomin Zhou
Neural Control of Parametric Solutions for High-dimensional Evolution PDEs. CoRR (2023)
Shaojun Ma, Mengxue Hou, Xiaojing Ye, Haomin Zhou
High-Dimensional Optimal Density Control with Wasserstein Metric Matching. CDC (2023)
Jiaojiao Fan, Shu Liu, Shaojun Ma, Haomin Zhou, Yongxin Chen
Neural Monge Map estimation and its applications. Trans. Mach. Learn. Res. 2023 (2023)
Jianbo Cui, Shu Liu, Haomin Zhou
Optimal Control for Stochastic Nonlinear Schrödinger Equation on Graph. SIAM J. Control. Optim. 61 (4) (2023)
Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou
Parameterized Wasserstein Hamiltonian Flow. CoRR (2023)
Feng Zhou, Antonio Cicone, Haomin Zhou
: An Enhanced Residual Recursive Convolutional Neural Network for Non-stationary Signal Decomposition. CoRR (2023)
Feng Zhou, Antonio Cicone, Haomin Zhou
RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network. CoRR (2023)
Jianbo Cui, Shu Liu, Haomin Zhou
Wasserstein Hamiltonian Flow with Common Noise on Graph. SIAM J. Appl. Math. 83 (2) (2023)
Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans
Discrete Langevin Samplers via Wasserstein Gradient Flow. AISTATS (2023)
Christina Frederick, Haomin Zhou, Frank Crosby
Intermittent diffusion-based path planning for heterogeneous groups of mobile sensors in cluttered environments. ICRA (2023)
Jianbo Cui, Shu Liu, Haomin Zhou
Optimal control for stochastic nonlinear Schrodinger equation on graph. CoRR (2022)
Jianbo Cui, Luca Dieci, Haomin Zhou
A Continuation Multiple Shooting Method for Wasserstein Geodesic Equation. SIAM J. Sci. Comput. 44 (5) (2022)
Haoyan Zhai, Mengxue Hou, Fumin Zhang, Haomin Zhou
Method of evolving junction on optimal path planning in flows fields. Auton. Robots 46 (8) (2022)
Antonio Cicone, Wing Suet Li, Haomin Zhou
New theoretical insights in the decomposition and time-frequency representation of nonstationary signals: the IMFogram algorithm. CoRR (2022)
Haoyan Zhai, Magnus Egerstedt, Haomin Zhou
Path Exploration in Unknown Environments Using Fokker-Planck Equation on Graph. J. Intell. Robotic Syst. 104 (4) (2022)
Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou
Neural Parametric Fokker-Planck Equation. SIAM J. Numer. Anal. 60 (3) (2022)
Christina Frederick, Magnus Egerstedt, Haomin Zhou
Collective Motion Planning for a Group of Robots Using Intermittent Diffusion. J. Sci. Comput. 90 (1) (2022)
Jianbo Cui, Luca Dieci, Haomin Zhou
Time discretizations of Wasserstein-Hamiltonian flows. Math. Comput. 91 (335) (2022)
Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans
Discrete Langevin Sampler via Wasserstein Gradient Flow. CoRR (2022)
Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou
Learning High Dimensional Wasserstein Geodesics. CoRR (2021)
Antonio Cicone, Haomin Zhou
Numerical analysis for iterative filtering with new efficient implementations based on FFT. Numerische Mathematik 147 (1) (2021)
Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou
Learning Stochastic Behaviour from Aggregate Data. ICML (2021)
Shaojun Ma, Haomin Zhou, Hongyuan Zha
Mean Field Game GAN. CoRR (2021)
Jianbo Cui, Luca Dieci, Haomin Zhou
A continuation multiple shooting method for Wasserstein geodesic equation. CoRR (2021)
Jiaojiao Fan, Shu Liu, Shaojun Ma, Yongxin Chen, Haomin Zhou
Scalable Computation of Monge Maps with General Costs. CoRR (2021)
Feng Zhou, Haomin Zhou, Zhihua Yang, Linyan Gu
IF2CNN: Towards non-stationary time series feature extraction by integrating iterative filtering and convolutional neural networks. Expert Syst. Appl. 170 (2021)
Antonio Cicone, Stefano Serra Capizzano, Haomin Zhou
One or two frequencies? The Iterative Filtering answers. CoRR (2021)
Philippe Barbe, Antonio Cicone, Wing Suet Li, Haomin Zhou
Time-frequency representation of nonstationary signals: the FIFogram. CoRR (2020)
Jianbo Cui, Luca Dieci, Haomin Zhou
Time Discretizations of Wasserstein-Hamiltonian Flows. CoRR (2020)
Shui-Nee Chow, Wuchen Li, Jun Lu, Haomin Zhou
Equilibrium Selection via Optimal Transport. SIAM J. Appl. Math. 80 (1) (2020)
Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou
Weak adversarial networks for high-dimensional partial differential equations. J. Comput. Phys. 411 (2020)
Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou
Numerical Solution of Inverse Problems by Weak Adversarial Networks. CoRR (2020)
Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye
Learning Cost Functions for Optimal Transport. CoRR (2020)
Luca Dieci, Manuela Manetta, Haomin Zhou
Double descent and intermittent color diffusion for landscape exploration. Numer. Algorithms 85 (1) (2020)
Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou
Learning Stochastic Behaviour of Aggregate Data. CoRR (2020)
Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou
Neural Parametric Fokker-Planck Equations. CoRR (2020)
Feng Zhou, Haomin Zhou, Zhihua Yang, Lihua Yang
A 2-Stage Strategy for Non-Stationary Signal Prediction and Recovery Using Iterative Filtering and Neural Network. J. Comput. Sci. Technol. 34 (2) (2019)
Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha
Learning to Match via Inverse Optimal Transport. J. Mach. Learn. Res. 20 (2019)
Shui-Nee Chow, Wuchen Li, Jun Lu, Haomin Zhou
Population Games and Discrete Optimal Transport. J. Nonlinear Sci. 29 (3) (2019)
Haoyan Zhai, Magnus Egerstedt, Haomin Zhou
Path Planning in Unknown Environments Using Optimal Transport Theory. CoRR (2019)
Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou
Weak Adversarial Networks for High-dimensional Partial Differential Equations. CoRR (2019)
Feng Zhou, Haomin Zhou, Zhihua Yang, Lihua Yang
EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction. Expert Syst. Appl. 115 (2019)
Wuchen Li, Shu Liu, Hongyuan Zha, Haomin Zhou
Parametric Fokker-Planck Equation. GSI (2019)
Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha
Learning to Recommend via Inverse Optimal Matching. CoRR (2018)
Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
Influence prediction for continuous-time information propagation on networks. Networks Heterog. Media 13 (4) (2018)
Wuchen Li, Shui-Nee Chow, Magnus Egerstedt, Jun Lu, Haomin Zhou
Method of evolving junctions: A new approach to optimal path-planning in 2D environments with moving obstacles. Int. J. Robotics Res. 36 (4) (2017)
Wuchen Li, Jun Lu, Haomin Zhou, Shui-Nee Chow
Method of evolving junctions: A new approach to optimal control with constraints. Autom. 78 (2017)
Björn Engquist, Christina Frederick, Quyen Huynh, Haomin Zhou
Seafloor identification in sonar imagery via simulations of Helmholtz equations and discrete optimization. J. Comput. Phys. 338 (2017)
Sung Ha Kang, Seong Jun Kim, Haomin Zhou
Optimal Sensor Positioning; A Probability Perspective Study. SIAM J. Sci. Comput. 39 (5) (2017)
Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song
Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS (2017)
Chunmei Wang, Haomin Zhou
A Weak Galerkin Finite Element Method for a Type of Fourth Order Problem Arising from Fluorescence Tomography. J. Sci. Comput. 71 (3) (2017)
Feng Zhou, Lijun Yang, Haomin Zhou, Lihua Yang
Optimal averages for nonlinear signal decompositions - Another alternative for empirical mode decomposition. Signal Process. 121 (2016)
Seong Jun Kim, Haomin Zhou
A Multiscale Computation for Highly Oscillatory Dynamical Systems using EMPIRICAL MODE DECOMPOSITION (EMD)-type Methods. Multiscale Model. Simul. 14 (1) (2016)
Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
Influence Prediction for Continuous-Time Information Propagation on Networks. CoRR (2015)
Shui-Nee Chow, Xiaojing Ye, Haomin Zhou
Potential induced random teleportation on finite graphs. Comput. Optim. Appl. 61 (3) (2015)
Sung Ha Kang, Seong Jun Kim, Haomin Zhou
Path optimization with limited sensing ability. J. Comput. Phys. 299 (2015)
Antonio Cicone, Jingfang Liu, Haomin Zhou
Hyperspectral Chemical Plume Detection Algorithms Based On Multidimensional Iterative Filtering Decomposition. CoRR (2015)
Jun Lu, Yancy Diaz-Mercado, Magnus Egerstedt, Haomin Zhou, Shui-Nee Chow
Shortest paths through 3-dimensional cluttered environments. ICRA (2014)
Gang Bao, Shui-Nee Chow, Peijun Li, Haomin Zhou
An inverse random source problem for the Helmholtz equation. Math. Comput. 83 (285) (2014)
Luan Lin, Yang Wang, Haomin Zhou
Iterative Filtering as an Alternative Algorithm for Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. 1 (4) (2009)
Majid Badieirostami, Ali Adibi, Haomin Zhou, Shui-Nee Chow
Wiener Chaos Expansion and Simulation of Electromagnetic Wave Propagation Excited by a Spatially Incoherent Source. Multiscale Model. Simul. 8 (2) (2009)
Yang Wang, Haomin Zhou
Total Variation Wavelet-Based Medical Image Denoising. Int. J. Biomed. Imaging 2006 (2006)