Haomin Zhou - RankMe

92 papers A* 4A 2B 2Journal 80Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Supervised Learning Scheme for Computing Hamilton-Jacobi Equation via Density Coupling. SIAM J. Sci. Comput. Jianbo Cui, Shu Liu, Haomin Zhou
2026	J	`jnl`	Computing the Gross-Pitaevskii Ground State via Wasserstein Gradient Flow in Diffeomorphism Space. CoRR Xiangxiong Zhang, Haomin Zhou
2025	J	`jnl`	A Novel Algorithm for the Decomposition of Non-Stationary Multidimensional and Multivariate Signals. Comput. Roberto Cavassi, Antonio Cicone, Enza Pellegrino, Haomin Zhou
2025	J	`jnl`	A parameterized Wasserstein Hamiltonian flow approach for solving the Schrödinger equation. CoRR Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou
2025	J	`jnl`	Deep Tangent Bundle (DTB) method: a Deep Neural Network approach to compute solutions of PDES. CoRR Hao Wu, Haomin Zhou
2025	J	`jnl`	Fourier Multi-Component and Multi-Layer Neural Networks: Unlocking High-Frequency Potential. CoRR Shijun Zhang, Hongkai Zhao, Yimin Zhong, Haomin Zhou
2025	J	`jnl`	Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting. CoRR Jiahui Cheng, Sung Ha Kang, Haomin Zhou, Wenjing Liao
2025	J	`jnl`	Parameterized Wasserstein Hamiltonian Flow. SIAM J. Numer. Anal. Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou
2025	J	`jnl`	Parameterized Wasserstein gradient flow. J. Comput. Phys. Yijie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou
2025	J	`jnl`	Structured and Balanced Multicomponent and Multilayer Neural Networks. SIAM J. Sci. Comput. Shijun Zhang, Hongkai Zhao, Yimin Zhong, Haomin Zhou
2024	J	`jnl`	A novel algorithm for the decomposition of non-stationary multidimensional and multivariate signals. CoRR Roberto Cavassi, Antonio Cicone, Enza Pellegrino, Haomin Zhou
2024	J	`jnl`	A supervised learning scheme for computing Hamilton-Jacobi equation via density coupling. CoRR Jianbo Cui, Shu Liu, Haomin Zhou
2024	J	`jnl`	IRCNN: A novel signal decomposition approach based on iterative residue convolutional neural network. Pattern Recognit. Feng Zhou, Antonio Cicone, Haomin Zhou
2024	J	`jnl`	Neural Control of Parametric Solutions for High-Dimensional Evolution PDEs. SIAM J. Sci. Comput. Nathan Gaby, Xiaojing Ye, Haomin Zhou
2024	J	`jnl`	One or two frequencies? The Iterative Filtering answers. Appl. Math. Comput. Antonio Cicone, Stefano Serra-Capizzano, Haomin Zhou
2024	J	`jnl`	Parameterized Wasserstein Gradient Flow. CoRR Yijie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou
2024	J	`jnl`	Structured and Balanced Multi-component and Multi-layer Neural Networks. CoRR Shijun Zhang, Hongkai Zhao, Yimin Zhong, Haomin Zhou
2023	A	`conf`	Discrete Langevin Samplers via Wasserstein Gradient Flow. AISTATS Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans
2023	—	`conf`	High-Dimensional Optimal Density Control with Wasserstein Metric Matching. CDC Shaojun Ma, Mengxue Hou, Xiaojing Ye, Haomin Zhou
2023	A*	`conf`	Intermittent diffusion-based path planning for heterogeneous groups of mobile sensors in cluttered environments. ICRA Christina Frederick, Haomin Zhou, Frank Crosby
2023	J	`jnl`	Neural Control of Parametric Solutions for High-dimensional Evolution PDEs. CoRR Nathan Gaby, Xiaojing Ye, Haomin Zhou
2023	J	`jnl`	Neural Monge Map estimation and its applications. Trans. Mach. Learn. Res. Jiaojiao Fan, Shu Liu, Shaojun Ma, Haomin Zhou, Yongxin Chen
2023	J	`jnl`	Optimal Control for Stochastic Nonlinear Schrödinger Equation on Graph. SIAM J. Control. Optim. Jianbo Cui, Shu Liu, Haomin Zhou
2023	J	`jnl`	Parameterized Wasserstein Hamiltonian Flow. CoRR Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou
2023	J	`jnl`	RRCNN CoRR Feng Zhou, Antonio Cicone, Haomin Zhou
2023	J	`jnl`	RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network. CoRR Feng Zhou, Antonio Cicone, Haomin Zhou
2023	J	`jnl`	Wasserstein Hamiltonian Flow with Common Noise on Graph. SIAM J. Appl. Math. Jianbo Cui, Shu Liu, Haomin Zhou
2023	J	`jnl`	Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study. CoRR Shijun Zhang, Hongkai Zhao, Yimin Zhong, Haomin Zhou
2022	J	`jnl`	A Continuation Multiple Shooting Method for Wasserstein Geodesic Equation. SIAM J. Sci. Comput. Jianbo Cui, Luca Dieci, Haomin Zhou
2022	J	`jnl`	Collective Motion Planning for a Group of Robots Using Intermittent Diffusion. J. Sci. Comput. Christina Frederick, Magnus Egerstedt, Haomin Zhou
2022	J	`jnl`	Discrete Langevin Sampler via Wasserstein Gradient Flow. CoRR Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans
2022	J	`jnl`	Method of evolving junction on optimal path planning in flows fields. Auton. Robots Haoyan Zhai, Mengxue Hou, Fumin Zhang, Haomin Zhou
2022	J	`jnl`	Neural Parametric Fokker-Planck Equation. SIAM J. Numer. Anal. Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou
2022	J	`jnl`	New theoretical insights in the decomposition and time-frequency representation of nonstationary signals: the IMFogram algorithm. CoRR Antonio Cicone, Wing Suet Li, Haomin Zhou
2022	J	`jnl`	Optimal control for stochastic nonlinear Schrodinger equation on graph. CoRR Jianbo Cui, Shu Liu, Haomin Zhou
2022	J	`jnl`	Path Exploration in Unknown Environments Using Fokker-Planck Equation on Graph. J. Intell. Robotic Syst. Haoyan Zhai, Magnus Egerstedt, Haomin Zhou
2022	J	`jnl`	Time discretizations of Wasserstein-Hamiltonian flows. Math. Comput. Jianbo Cui, Luca Dieci, Haomin Zhou
2021	J	`jnl`	A continuation multiple shooting method for Wasserstein geodesic equation. CoRR Jianbo Cui, Luca Dieci, Haomin Zhou
2021	A*	`conf`	Belief Space Partitioning for Symbolic Motion Planning. ICRA Mengxue Hou, Tony X. Lin, Haomin Zhou, Wei Zhang, Catherine R. Edwards, Fumin Zhang
2021	J	`jnl`	Bounded Cost Path Planning for Underwater Vehicles Assisted by a Time-Invariant Partitioned Flow Field Model. Frontiers Robotics AI Mengxue Hou, Sungjin Cho, Haomin Zhou, Catherine R. Edwards, Fumin Zhang
2021	J	`jnl`	IF2CNN: Towards non-stationary time series feature extraction by integrating iterative filtering and convolutional neural networks. Expert Syst. Appl. Feng Zhou, Haomin Zhou, Zhihua Yang, Linyan Gu
2021	J	`jnl`	Learning High Dimensional Wasserstein Geodesics. CoRR Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou
2021	A*	`conf`	Learning Stochastic Behaviour from Aggregate Data. ICML Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou
2021	J	`jnl`	Mean Field Game GAN. CoRR Shaojun Ma, Haomin Zhou, Hongyuan Zha
2021	J	`jnl`	Numerical analysis for iterative filtering with new efficient implementations based on FFT. Numerische Mathematik Antonio Cicone, Haomin Zhou
2021	J	`jnl`	One or two frequencies? The Iterative Filtering answers. CoRR Antonio Cicone, Stefano Serra-Capizzano, Haomin Zhou
2021	J	`jnl`	Scalable Computation of Monge Maps with General Costs. CoRR Jiaojiao Fan, Shu Liu, Shaojun Ma, Yongxin Chen, Haomin Zhou
2020	J	`jnl`	Double descent and intermittent color diffusion for landscape exploration. Numer. Algorithms Luca Dieci, Manuela Manetta, Haomin Zhou
2020	J	`jnl`	Equilibrium Selection via Optimal Transport. SIAM J. Appl. Math. Shui-Nee Chow, Wuchen Li, Jun Lu, Haomin Zhou
2020	J	`jnl`	Learning Cost Functions for Optimal Transport. CoRR Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye
2020	J	`jnl`	Learning Stochastic Behaviour of Aggregate Data. CoRR Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou
2020	J	`jnl`	Neural Parametric Fokker-Planck Equations. CoRR Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou
2020	J	`jnl`	Numerical Solution of Inverse Problems by Weak Adversarial Networks. CoRR Gang Bao, Xiaojing Ye, Yaohua Zang, Haomin Zhou
2020	J	`jnl`	Time Discretizations of Wasserstein-Hamiltonian Flows. CoRR Jianbo Cui, Luca Dieci, Haomin Zhou
2020	J	`jnl`	Time-frequency representation of nonstationary signals: the FIFogram. CoRR Philippe Barbe, Antonio Cicone, Wing Suet Li, Haomin Zhou
2020	J	`jnl`	Weak adversarial networks for high-dimensional partial differential equations. J. Comput. Phys. Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou
2019	J	`jnl`	A 2-Stage Strategy for Non-Stationary Signal Prediction and Recovery Using Iterative Filtering and Neural Network. J. Comput. Sci. Technol. Feng Zhou, Haomin Zhou, Zhihua Yang, Lihua Yang
2019	J	`jnl`	EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction. Expert Syst. Appl. Feng Zhou, Haomin Zhou, Zhihua Yang, Lihua Yang
2019	J	`jnl`	Learning to Match via Inverse Optimal Transport. J. Mach. Learn. Res. Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha
2019	—	`conf`	Parametric Fokker-Planck Equation. GSI Wuchen Li, Shu Liu, Hongyuan Zha, Haomin Zhou
2019	J	`jnl`	Path Planning in Unknown Environments Using Optimal Transport Theory. CoRR Haoyan Zhai, Magnus Egerstedt, Haomin Zhou
2019	J	`jnl`	Population Games and Discrete Optimal Transport. J. Nonlinear Sci. Shui-Nee Chow, Wuchen Li, Jun Lu, Haomin Zhou
2019	J	`jnl`	Weak Adversarial Networks for High-dimensional Partial Differential Equations. CoRR Yaohua Zang, Gang Bao, Xiaojing Ye, Haomin Zhou
2018	J	`jnl`	Influence prediction for continuous-time information propagation on networks. Networks Heterog. Media Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
2018	J	`jnl`	Learning to Recommend via Inverse Optimal Matching. CoRR Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha
2017	J	`jnl`	A Weak Galerkin Finite Element Method for a Type of Fourth Order Problem Arising from Fluorescence Tomography. J. Sci. Comput. Chunmei Wang, Haomin Zhou
2017	A	`conf`	Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song
2017	J	`jnl`	Method of evolving junctions: A new approach to optimal control with constraints. Autom. Wuchen Li, Jun Lu, Haomin Zhou, Shui-Nee Chow
2017	J	`jnl`	Method of evolving junctions: A new approach to optimal path-planning in 2D environments with moving obstacles. Int. J. Robotics Res. Wuchen Li, Shui-Nee Chow, Magnus Egerstedt, Jun Lu, Haomin Zhou
2017	J	`jnl`	Optimal Sensor Positioning; A Probability Perspective Study. SIAM J. Sci. Comput. Sung Ha Kang, Seong Jun Kim, Haomin Zhou
2017	J	`jnl`	Seafloor identification in sonar imagery via simulations of Helmholtz equations and discrete optimization. J. Comput. Phys. Björn Engquist, Christina Frederick, Quyen Huynh, Haomin Zhou
2016	J	`jnl`	A Multiscale Computation for Highly Oscillatory Dynamical Systems using EMPIRICAL MODE DECOMPOSITION (EMD)-type Methods. Multiscale Model. Simul. Seong Jun Kim, Haomin Zhou
2016	J	`jnl`	Optimal averages for nonlinear signal decompositions - Another alternative for empirical mode decomposition. Signal Process. Feng Zhou, Lijun Yang, Haomin Zhou, Lihua Yang
2015	J	`jnl`	Hyperspectral Chemical Plume Detection Algorithms Based On Multidimensional Iterative Filtering Decomposition. CoRR Antonio Cicone, Jingfang Liu, Haomin Zhou
2015	J	`jnl`	Influence Prediction for Continuous-Time Information Propagation on Networks. CoRR Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou
2015	J	`jnl`	Path optimization with limited sensing ability. J. Comput. Phys. Sung Ha Kang, Seong Jun Kim, Haomin Zhou
2015	J	`jnl`	Potential induced random teleportation on finite graphs. Comput. Optim. Appl. Shui-Nee Chow, Xiaojing Ye, Haomin Zhou
2014	J	`jnl`	An inverse random source problem for the Helmholtz equation. Math. Comput. Gang Bao, Shui-Nee Chow, Peijun Li, Haomin Zhou
2014	A*	`conf`	Shortest paths through 3-dimensional cluttered environments. ICRA Jun Lu, Yancy Diaz-Mercado, Magnus Egerstedt, Haomin Zhou, Shui-Nee Chow
2010	J	`jnl`	Randomization of Forcing in Large Systems of PDEs for Improvement of Energy Estimates. Multiscale Model. Simul. Chia Ying Lee, Boris L. Rozovskii, Haomin Zhou
2009	J	`jnl`	Iterative Filtering as an Alternative Algorithm for Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. Luan Lin, Yang Wang, Haomin Zhou
2009	—	`ch.`	Wavelets and PDE Techniques in Image Processing, A Quick Tour of. Encyclopedia of Complexity and Systems Science Haomin Zhou, Tony F. Chan, Jianhong Shen
2009	J	`jnl`	Wiener Chaos Expansion and Simulation of Electromagnetic Wave Propagation Excited by a Spatially Incoherent Source. Multiscale Model. Simul. Majid Badieirostami, Ali Adibi, Haomin Zhou, Shui-Nee Chow
2008	J	`jnl`	A Hierarchical Multiresolution Adaptive Mesh Refinement for the Solution of Evolution PDEs. SIAM J. Sci. Comput. Sachin Jain, Panagiotis Tsiotras, Haomin Zhou
2007	—	`conf`	Adaptive multiresolution mesh refinement for the solution of evolution PDEs. CDC Sachin Jain, Panagiotis Tsiotras, Haomin Zhou
2007	J	`jnl`	Total Variation Wavelet Thresholding. J. Sci. Comput. Tony F. Chan, Haomin Zhou
2006	J	`jnl`	Total Variation Wavelet Inpainting. J. Math. Imaging Vis. Tony F. Chan, Jianhong Shen, Haomin Zhou
2006	J	`jnl`	Total Variation Wavelet-Based Medical Image Denoising. Int. J. Biomed. Imaging Yang Wang, Haomin Zhou
2006	J	`jnl`	Wiener Chaos expansions and numerical solutions of randomly forced equations of fluid mechanics. J. Comput. Phys. Thomas Y. Hou, Wuan Luo, Boris Rozovskii, Haomin Zhou
2002	J	`jnl`	ENO-Wavelet Transforms for Piecewise Smooth Functions. SIAM J. Numer. Anal. Tony F. Chan, Haomin Zhou
2000	B	`conf`	Total Variation Improved Wavelet Thresholding in Image Compression. ICIP Tony F. Chan, Haomin Zhou
1998	B	`conf`	Feature Preserving Lossy Image Compression Using Nonlinear PDE's. Data Compression Conference Tony F. Chan, Haomin Zhou