Kejun Tang

According to our database, Kejun Tang authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths.

Yueyang Wang, Kejun Tang, Xili Wang, Xiaoliang Wan, Weiqing Ren, Chao Yang

CoRR, January, 2025

Provable Low-Rank Tensor-Train Approximations in the Inverse of Large-Scale Structured Matrices.

Chuanfu Xiao, Kejun Tang, Zhitao Zhu

CoRR, January, 2025

2024

Deep Adaptive Sampling for Surrogate Modeling Without Labeled Data.

Xili Wang, Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang

J. Sci. Comput., December, 2024

Trajectory optimization for automated tape placement on triangular mesh surfaces considering gap requirements.

Peng Zhang, Yuyu Li, Kejun Tang, Lairong Yin, Long Huang, Hongbing Wang

J. Comput. Des. Eng., March, 2024

AONN: An Adjoint-Oriented Neural Network Method for All-At-Once Solutions of Parametric Optimal Control Problems.

Pengfei Yin, Guangqiang Xiao, Kejun Tang, Chao Yang

SIAM J. Sci. Comput., February, 2024

APTT: An accuracy-preserved tensor-train method for the Boltzmann-BGK equation.

Zhitao Zhu, Chuanfu Xiao, Kejun Tang, Jizu Huang, Chao Yang

CoRR, 2024

Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs.

Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations.

Kejun Tang, Xiaoliang Wan, Chao Yang

J. Comput. Phys., March, 2023

Dimension-reduced KRnet maps for high-dimensional Bayesian inverse problems.

Yani Feng, Kejun Tang, Xiaoliang Wan, Qifeng Liao

CoRR, 2023

2022

Adaptive deep density approximation for Fokker-Planck equations.

Kejun Tang, Xiaoliang Wan, Qifeng Liao

J. Comput. Phys., 2022

2021

DAS: A deep adaptive sampling method for solving partial differential equations.

Kejun Tang, Xiaoliang Wan, Chao Yang

CoRR, 2021

Augmented KRnet for density estimation and approximation.

Xiaoliang Wan, Kejun Tang

CoRR, 2021

2020

Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs.

Kejun Tang, Qifeng Liao

J. Comput. Phys., 2020

Tensor Train Random Projection.

Yani Feng, Kejun Tang, Lianxing He, Pingqiang Zhou, Qifeng Liao

CoRR, 2020

D3M: A Deep Domain Decomposition Method for Partial Differential Equations.

Ke Li, Kejun Tang, Tianfan Wu, Qifeng Liao

IEEE Access, 2020

2019

A Hierarchical Neural Hybrid Method for Failure Probability Estimation.

Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu, Qifeng Liao

IEEE Access, 2019