柳树｜上海对外经贸大学｜学者主页

期刊论文

2026

A Supervised Learning Scheme for Computing Hamilton-Jacobi Equation via Density Coupling

Jian-Bo Cui, Shu Liu, Haomin Zhou

SIAM Journal on Scientific Computing

DOI

2026

A parameterized Wasserstein Hamiltonian flow approach to solving nonlinear Schrödinger equations

Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou

Journal of Computational Physics

DOI

2024

Estimation for time-varying coefficient smoothed quantile regression

Lixia Hu, Jinhong You, Qian Huang, Shu Liu

Journal of Applied Statistics

DOI

2024

Parameterized Wasserstein Gradient Flow

Yi-Jie Jin, Shu Liu, Hao Wu, Xiaojing Ye, Haomin Zhou

Journal of Computational Physics

DOI

2023

Parameterized Wasserstein Hamiltonian Flow

Hao Wu, Shu Liu, Xiao-Jing Ye, Haomin Zhou

SIAM Journal on Numerical Analysis

DOI

2022

Wasserstein Hamiltonian Flow with Common Noise on Graph

J. Cui, Shu Liu, Haomin Zhou

SIAM Journal on Applied Mathematics

DOI

2022

Optimal control for stochastic nonlinear Schrodinger equation on graph

J. Cui, Shu Liu, Haomin Zhou

SIAM Journal of Control and Optimization

DOI

2021

Unified statistical inference for a nonlinear dynamic functional/longitudinal data model

Liu Shu, Jinhong You, Lixia Hu

Journal of Statistical Planning and Inference

DOI

2021

Neural Monge Map estimation and its applications

JiaoJiao Fan, Shu Liu, Shaojun Ma, Haomin Zhou, Yongxin Chen

Trans. Mach. Learn. Res.

2021

What is a stochastic Hamiltonian process on finite graph? An optimal transport answer

J. Cui, Shu Liu, Haomin Zhou

Journal of Differential Equations

DOI

2021

A Particle-Evolving Method for Approximating the Optimal Transport Plan

Shu Liu, Haodong Sun, H. Zha

International Conference on Geometric Science of Information

DOI

2021

Scalable Computation of Monge Maps with General Costs

JiaoJiao Fan, Shu Liu, Shaojun Ma, Yongxin Chen, Haomin Zhou

arXiv.org

2021

Stochastic Wasserstein Hamiltonian Flows

J. Cui, Shu Liu, Haomin Zhou

Journal of Dynamics and Differential Equations

DOI

2021

Learning High Dimensional Wasserstein Geodesics

Shu Liu, Shaojun Ma, Yongxin Chen, H. Zha, Haomin Zhou

arXiv.org

2020

Learning Stochastic Behaviour from Aggregate Data

Shaojun Ma, Shu Liu, H. Zha, Haomin Zhou

International Conference on Machine Learning

2020

Neural Parametric Fokker-Planck Equations

Shu Liu, Wuchen Li, H. Zha, Haomin Zhou

SIAM Journal on Numerical Analysis

DOI

2019

Parametric Fokker-Planck Equation

Wuchen Li, Shu Liu, H. Zha, Haomin Zhou

International Conference on Geometric Science of Information

DOI

2017

Non parametric regression analysis for longitudinal data with time-depending autoregressive error process

Yin Hang, Shu Liu

Communication in Statistics- Theory and Methods

DOI

2017

Estimation and model identification of longitudinal data time-varying nonparametric models

Shu Liu, Jinhong You, Heng Lian

Journal of Multivariate Analysis

DOI

2017

Robust estimation and model identification for longitudinal data varying-coefficient model

Liu Shu, Heng Lian

Communication in Statistics- Theory and Methods

DOI

2014

互联网金融风险控制统计研究

柳树，钟洁

《统计与决策》，No. 16

下载原文

预印本

2026

Continuous-Time Trajectory Generation from Discrete Observations with Stochasticity

Ruifeng Shang, Shu Liu, Yuhua Zhu

arXiv preprint

柳树

精选作品

期刊论文

A Supervised Learning Scheme for Computing Hamilton-Jacobi Equation via Density Coupling

A parameterized Wasserstein Hamiltonian flow approach to solving nonlinear Schrödinger equations

Estimation for time-varying coefficient smoothed quantile regression

Parameterized Wasserstein Gradient Flow

Parameterized Wasserstein Hamiltonian Flow

Wasserstein Hamiltonian Flow with Common Noise on Graph

Optimal control for stochastic nonlinear Schrodinger equation on graph

Unified statistical inference for a nonlinear dynamic functional/longitudinal data model

Neural Monge Map estimation and its applications

What is a stochastic Hamiltonian process on finite graph? An optimal transport answer

A Particle-Evolving Method for Approximating the Optimal Transport Plan

Scalable Computation of Monge Maps with General Costs

Stochastic Wasserstein Hamiltonian Flows

Learning High Dimensional Wasserstein Geodesics

Learning Stochastic Behaviour from Aggregate Data

Neural Parametric Fokker-Planck Equations

Parametric Fokker-Planck Equation

Non parametric regression analysis for longitudinal data with time-depending autoregressive error process

Estimation and model identification of longitudinal data time-varying nonparametric models

Robust estimation and model identification for longitudinal data varying-coefficient model

互联网金融风险控制统计研究

预印本

Continuous-Time Trajectory Generation from Discrete Observations with Stochasticity

研究方向