Kejun Tang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Probability Estimation

Inverse Problems

Partial Differential Equations

Top Venues

J. Comput. Phys.

J. Comput. Des. Eng.

Publications

Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs. ICLR (2024)
Peng Zhang, Yuyu Li, Kejun Tang, Lairong Yin, Long Huang, Hongbing Wang
Trajectory optimization for automated tape placement on triangular mesh surfaces considering gap requirements. J. Comput. Des. Eng. 11 (2) (2024)
Pengfei Yin, Guangqiang Xiao, Kejun Tang, Chao Yang
AONN: An Adjoint-Oriented Neural Network Method for All-At-Once Solutions of Parametric Optimal Control Problems. SIAM J. Sci. Comput. 46 (1) (2024)
Zhitao Zhu, Chuanfu Xiao, Kejun Tang, Jizu Huang, Chao Yang
APTT: An accuracy-preserved tensor-train method for the Boltzmann-BGK equation. CoRR (2024)
Xili Wang, Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
Deep adaptive sampling for surrogate modeling without labeled data. CoRR (2024)
Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs. CoRR (2023)
Yani Feng, Kejun Tang, Xiaoliang Wan, Qifeng Liao
Dimension-reduced KRnet maps for high-dimensional inverse problems. CoRR (2023)
Kejun Tang, Xiaoliang Wan, Chao Yang
DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations. J. Comput. Phys. 476 (2023)
Kejun Tang, Xiaoliang Wan, Qifeng Liao
Adaptive deep density approximation for Fokker-Planck equations. J. Comput. Phys. 457 (2022)
Xiaoliang Wan, Kejun Tang
Augmented KRnet for density estimation and approximation. CoRR (2021)
Kejun Tang, Xiaoliang Wan, Qifeng Liao
Adaptive deep density approximation for Fokker-Planck equations. CoRR (2021)
Kejun Tang, Xiaoliang Wan, Chao Yang
DAS: A deep adaptive sampling method for solving partial differential equations. CoRR (2021)
Kejun Tang, Qifeng Liao
Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs. J. Comput. Phys. 409 (2020)
Yani Feng, Kejun Tang, Lianxing He, Pingqiang Zhou, Qifeng Liao
Tensor Train Random Projection. CoRR (2020)
Ke Li, Kejun Tang, Tianfan Wu, Qifeng Liao
D3M: A Deep Domain Decomposition Method for Partial Differential Equations. IEEE Access 8 (2020)
Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu, Qifeng Liao
A Hierarchical Neural Hybrid Method for Failure Probability Estimation. IEEE Access 7 (2019)
Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu, Qifeng Liao
A hierarchical neural hybrid method for failure probability estimation. CoRR (2019)
Ke Li, Kejun Tang, Tianfan Wu, Qifeng Liao
D3M: A deep domain decomposition method for partial differential equations. CoRR (2019)