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ORCIDHaomin Zhou 0001
Person information
- affiliation: Georgia Institute of Technology, School of Mathematics, Atlanta, GA, USA
Other persons with the same name
- Haomin Zhou 0002 — Nanjing University of Science and Technology, China
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2020 – today
- 2024
[j42]Antonio Cicone, Stefano Serra-Capizzano, Haomin Zhou:
One or two frequencies? The Iterative Filtering answers. Appl. Math. Comput. 462: 128322 (2024)- [j41]Feng Zhou
, Antonio Cicone, Haomin Zhou:
IRCNN: A novel signal decomposition approach based on iterative residue convolutional neural network. Pattern Recognit. 155: 110670 (2024) - [j40]Nathan Gaby, Xiaojing Ye, Haomin Zhou:
Neural Control of Parametric Solutions for High-Dimensional Evolution PDEs. SIAM J. Sci. Comput. 46(2): 155- (2024) - [i27]Jianbo Cui, Shu Liu, Haomin Zhou:
A supervised learning scheme for computing Hamilton-Jacobi equation via density coupling. CoRR abs/2401.15954 (2024) - [i26]Yijie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou:
Parameterized Wasserstein Gradient Flow. CoRR abs/2404.19133 (2024) - [i25]Shijun Zhang, Hongkai Zhao, Yimin Zhong, Haomin Zhou:
Structured and Balanced Multi-component and Multi-layer Neural Networks. CoRR abs/2407.00765 (2024) - 2023
- [j39]Jianbo Cui, Shu Liu, Haomin Zhou:
Wasserstein Hamiltonian Flow with Common Noise on Graph. SIAM J. Appl. Math. 83(2): 484-509 (2023) - [j38]Jianbo Cui, Shu Liu, Haomin Zhou:
Optimal Control for Stochastic Nonlinear Schrödinger Equation on Graph. SIAM J. Control. Optim. 61(4): 2021-2042 (2023) - [j37]Jiaojiao Fan, Shu Liu, Shaojun Ma, Haomin Zhou, Yongxin Chen:
Neural Monge Map estimation and its applications. Trans. Mach. Learn. Res. 2023 (2023) - [c11]Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans:
Discrete Langevin Samplers via Wasserstein Gradient Flow. AISTATS 2023: 6290-6313 - [c10]Shaojun Ma, Mengxue Hou, Xiaojing Ye, Haomin Zhou:
High-Dimensional Optimal Density Control with Wasserstein Metric Matching. CDC 2023: 6813-6818 - [c9]Christina Frederick, Haomin Zhou, Frank Crosby:
Intermittent diffusion-based path planning for heterogeneous groups of mobile sensors in cluttered environments. ICRA 2023: 1601-1608 - [i24]Nathan Gaby, Xiaojing Ye, Haomin Zhou:
Neural Control of Parametric Solutions for High-dimensional Evolution PDEs. CoRR abs/2302.00045 (2023) - [i23]Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou:
Parameterized Wasserstein Hamiltonian Flow. CoRR abs/2306.00191 (2023) - [i22]Shijun Zhang, Hongkai Zhao, Yimin Zhong, Haomin Zhou:
Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study. CoRR abs/2306.17301 (2023) - [i21]Feng Zhou, Antonio Cicone, Haomin Zhou:
RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network. CoRR abs/2307.01725 (2023) - [i20]Feng Zhou, Antonio Cicone, Haomin Zhou:
RRCNN+: An Enhanced Residual Recursive Convolutional Neural Network for Non-stationary Signal Decomposition. CoRR abs/2309.04782 (2023) - 2022
- [j36]Haoyan Zhai, Mengxue Hou, Fumin Zhang, Haomin Zhou:
Method of evolving junction on optimal path planning in flows fields. Auton. Robots 46(8): 929-947 (2022) - [j35]Haoyan Zhai, Magnus Egerstedt, Haomin Zhou:
Path Exploration in Unknown Environments Using Fokker-Planck Equation on Graph. J. Intell. Robotic Syst. 104(4): 71 (2022) - [j34]Christina Frederick, Magnus Egerstedt, Haomin Zhou:
Collective Motion Planning for a Group of Robots Using Intermittent Diffusion. J. Sci. Comput. 90(1): 13 (2022) - [j33]Jianbo Cui, Luca Dieci, Haomin Zhou:
Time discretizations of Wasserstein-Hamiltonian flows. Math. Comput. 91(335): 1019-1075 (2022) - [j32]Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou:
Neural Parametric Fokker-Planck Equation. SIAM J. Numer. Anal. 60(3): 1385-1449 (2022) - [j31]Jianbo Cui, Luca Dieci, Haomin Zhou:
A Continuation Multiple Shooting Method for Wasserstein Geodesic Equation. SIAM J. Sci. Comput. 44(5): 2918- (2022) - [i19]Antonio Cicone, Wing Suet Li, Haomin Zhou:
New theoretical insights in the decomposition and time-frequency representation of nonstationary signals: the IMFogram algorithm. CoRR abs/2205.15702 (2022) - [i18]Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans:
Discrete Langevin Sampler via Wasserstein Gradient Flow. CoRR abs/2206.14897 (2022) - [i17]Jianbo Cui, Shu Liu, Haomin Zhou:
Optimal control for stochastic nonlinear Schrodinger equation on graph. CoRR abs/2209.05346 (2022) - 2021
- [j30]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: 114527 (2021) - [j29]Mengxue Hou, Sungjin Cho, Haomin Zhou, Catherine R. Edwards, Fumin Zhang:
Bounded Cost Path Planning for Underwater Vehicles Assisted by a Time-Invariant Partitioned Flow Field Model. Frontiers Robotics AI 8: 575267 (2021) - [j28]Antonio Cicone, Haomin Zhou:
Numerical analysis for iterative filtering with new efficient implementations based on FFT. Numerische Mathematik 147(1): 1-28 (2021) - [c8]Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou:
Learning Stochastic Behaviour from Aggregate Data. ICML 2021: 7258-7267 - [c7]Mengxue Hou, Tony X. Lin, Haomin Zhou, Wei Zhang, Catherine R. Edwards, Fumin Zhang:
Belief Space Partitioning for Symbolic Motion Planning. ICRA 2021: 8245-8251 - [i16]Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou:
Learning High Dimensional Wasserstein Geodesics. CoRR abs/2102.02992 (2021) - [i15]Shaojun Ma, Haomin Zhou, Hongyuan Zha:
Mean Field Game GAN. CoRR abs/2103.07855 (2021) - [i14]Jianbo Cui, Luca Dieci, Haomin Zhou:
A continuation multiple shooting method for Wasserstein geodesic equation. CoRR abs/2105.09502 (2021) - [i13]Jiaojiao Fan, Shu Liu, Shaojun Ma, Yongxin Chen, Haomin Zhou:
Scalable Computation of Monge Maps with General Costs. CoRR abs/2106.03812 (2021) - [i12]Antonio Cicone, Stefano Serra-Capizzano, Haomin Zhou:
One or two frequencies? The Iterative Filtering answers. CoRR abs/2111.11741 (2021) - 2020
- [j27]Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou:
Weak adversarial networks for high-dimensional partial differential equations. J. Comput. Phys. 411: 109409 (2020) - [j26]Luca Dieci, Manuela Manetta, Haomin Zhou:
Double descent and intermittent color diffusion for landscape exploration. Numer. Algorithms 85(1): 145-169 (2020) - [j25]Shui-Nee Chow, Wuchen Li, Jun Lu, Haomin Zhou:
Equilibrium Selection via Optimal Transport. SIAM J. Appl. Math. 80(1): 142-159 (2020) - [i11]Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou:
Learning Stochastic Behaviour of Aggregate Data. CoRR abs/2002.03513 (2020) - [i10]Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye:
Learning Cost Functions for Optimal Transport. CoRR abs/2002.09650 (2020) - [i9]Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou:
Neural Parametric Fokker-Planck Equations. CoRR abs/2002.11309 (2020) - [i8]Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou:
Numerical Solution of Inverse Problems by Weak Adversarial Networks. CoRR abs/2002.11340 (2020) - [i7]Jianbo Cui, Luca Dieci, Haomin Zhou:
Time Discretizations of Wasserstein-Hamiltonian Flows. CoRR abs/2006.09187 (2020) - [i6]Philippe Barbe, Antonio Cicone, Wing Suet Li, Haomin Zhou:
Time-frequency representation of nonstationary signals: the FIFogram. CoRR abs/2011.14209 (2020)
2010 – 2019
- 2019
- [j24]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: 136-151 (2019) - [j23]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): 318-338 (2019) - [j22]Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha:
Learning to Match via Inverse Optimal Transport. J. Mach. Learn. Res. 20: 80:1-80:37 (2019) - [j21]Shui-Nee Chow, Wuchen Li, Jun Lu, Haomin Zhou:
Population Games and Discrete Optimal Transport. J. Nonlinear Sci. 29(3): 871-896 (2019) - [c6]Wuchen Li, Shu Liu, Hongyuan Zha, Haomin Zhou:
Parametric Fokker-Planck Equation. GSI 2019: 715-724 - [i5]Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou:
Weak Adversarial Networks for High-dimensional Partial Differential Equations. CoRR abs/1907.08272 (2019) - [i4]Haoyan Zhai, Magnus Egerstedt, Haomin Zhou:
Path Planning in Unknown Environments Using Optimal Transport Theory. CoRR abs/1909.11235 (2019) - 2018
- [j20]Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou:
Influence prediction for continuous-time information propagation on networks. Networks Heterog. Media 13(4): 567-583 (2018) - [i3]Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha:
Learning to Recommend via Inverse Optimal Matching. CoRR abs/1802.03644 (2018) - 2017
- [j19]Wuchen Li, Jun Lu, Haomin Zhou, Shui-Nee Chow:
Method of evolving junctions: A new approach to optimal control with constraints. Autom. 78: 72-78 (2017) - [j18]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): 403-413 (2017) - [j17]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: 477-492 (2017) - [j16]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): 897-918 (2017) - [j15]Sung Ha Kang, Seong Jun Kim, Haomin Zhou:
Optimal Sensor Positioning; A Probability Perspective Study. SIAM J. Sci. Comput. 39(5) (2017) - [c5]Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song:
Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS 2017: 1375-1384 - 2016
- [j14]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): 534-557 (2016) - [j13]Feng Zhou, Lijun Yang, Haomin Zhou, Lihua Yang:
Optimal averages for nonlinear signal decompositions - Another alternative for empirical mode decomposition. Signal Process. 121: 17-29 (2016) - 2015
- [j12]Shui-Nee Chow, Xiaojing Ye, Haomin Zhou:
Potential induced random teleportation on finite graphs. Comput. Optim. Appl. 61(3): 689-711 (2015) - [j11]Sung Ha Kang, Seong Jun Kim, Haomin Zhou:
Path optimization with limited sensing ability. J. Comput. Phys. 299: 887-901 (2015) - [i2]Antonio Cicone, Jingfang Liu, Haomin Zhou:
Hyperspectral Chemical Plume Detection Algorithms Based On Multidimensional Iterative Filtering Decomposition. CoRR abs/1512.01979 (2015) - [i1]Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou:
Influence Prediction for Continuous-Time Information Propagation on Networks. CoRR abs/1512.05417 (2015) - 2014
- [j10]Gang Bao, Shui-Nee Chow, Peijun Li, Haomin Zhou:
An inverse random source problem for the Helmholtz equation. Math. Comput. 83(285): 215-233 (2014) - [c4]Jun Lu, Yancy Diaz-Mercado, Magnus Egerstedt, Haomin Zhou, Shui-Nee Chow:
Shortest paths through 3-dimensional cluttered environments. ICRA 2014: 6579-6585 - 2010
- [j9]Chia Ying Lee, Boris L. Rozovskii, Haomin Zhou:
Randomization of Forcing in Large Systems of PDEs for Improvement of Energy Estimates. Multiscale Model. Simul. 8(4): 1419-1438 (2010)
2000 – 2009
- 2009
- [j8]Luan Lin, Yang Wang, Haomin Zhou:
Iterative Filtering as an Alternative Algorithm for Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. 1(4): 543-560 (2009) - [j7]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): 591-604 (2009) - [r1]Haomin Zhou, Tony F. Chan, Jianhong Shen:
Wavelets and PDE Techniques in Image Processing, A Quick Tour of. Encyclopedia of Complexity and Systems Science 2009: 10031-10047 - 2008
- [j6]Sachin Jain, Panagiotis Tsiotras, Haomin Zhou:
A Hierarchical Multiresolution Adaptive Mesh Refinement for the Solution of Evolution PDEs. SIAM J. Sci. Comput. 31(2): 1221-1248 (2008) - 2007
- [j5]Tony F. Chan, Haomin Zhou:
Total Variation Wavelet Thresholding. J. Sci. Comput. 32(2): 315-341 (2007) - [c3]Sachin Jain, Panagiotis Tsiotras, Haomin Zhou:
Adaptive multiresolution mesh refinement for the solution of evolution PDEs. CDC 2007: 3525-3530 - 2006
- [j4]Yang Wang, Haomin Zhou:
Total Variation Wavelet-Based Medical Image Denoising. Int. J. Biomed. Imaging 2006: 89095:1-89095:6 (2006) - [j3]Thomas Y. Hou, Wuan Luo, Boris Rozovskii, Haomin Zhou:
Wiener Chaos expansions and numerical solutions of randomly forced equations of fluid mechanics. J. Comput. Phys. 216(2): 687-706 (2006) - [j2]Tony F. Chan, Jianhong Shen, Haomin Zhou:
Total Variation Wavelet Inpainting. J. Math. Imaging Vis. 25(1): 107-125 (2006) - 2002
- [j1]Tony F. Chan, Haomin Zhou:
ENO-Wavelet Transforms for Piecewise Smooth Functions. SIAM J. Numer. Anal. 40(4): 1369-1404 (2002) - 2000
- [c2]Tony F. Chan, Haomin Zhou:
Total Variation Improved Wavelet Thresholding in Image Compression. ICIP 2000: 391-394
1990 – 1999
- 1998
- [c1]Tony F. Chan, Haomin Zhou:
Feature Preserving Lossy Image Compression Using Nonlinear PDE's. Data Compression Conference 1998: 529
Coauthor Index
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