A Hierarchical Neural Hybrid Method for Failure Probability Estimation. - Ke Li 039; Kejun Tang; Jinglai Li; Tianfan Wu; Qifeng Liao (IEEE Access, 2019)

D3M: A deep domain decomposition method for partial differential equations. - Ke Li; Kejun Tang; Tianfan Wu; Qifeng Liao (CoRR, 2019)

D3M: A Deep Domain Decomposition Method for Partial Differential Equations. - Ke Li 039; Kejun Tang; Tianfan Wu; Qifeng Liao (IEEE Access, 2020)

Tensor Train Random Projection. - Yani Feng; Kejun Tang; Lianxing He; Pingqiang Zhou; Qifeng Liao (CoRR, 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)

Augmented KRnet for density estimation and approximation. - Xiaoliang Wan; Kejun Tang (CoRR, 2021)

DAS: A deep adaptive sampling method for solving partial differential equations. - Kejun Tang; Xiaoliang Wan; Chao Yang 002 (CoRR, 2021)

Adaptive deep density approximation for Fokker-Planck equations. - Kejun Tang; Xiaoliang Wan; Qifeng Liao (J. Comput. Phys., 2022)

Dimension-reduced KRnet maps for high-dimensional Bayesian inverse problems. - Yani Feng; Kejun Tang; Xiaoliang Wan; Qifeng Liao (CoRR, 2023)

DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations. - Kejun Tang; Xiaoliang Wan; Chao Yang 002 (J. Comput. Phys., 2023)

Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs. - Kejun Tang; Jiayu Zhai; Xiaoliang Wan; Chao Yang 002 (ICLR, 2024)

APTT: An accuracy-preserved tensor-train method for the Boltzmann-BGK equation. - Zhitao Zhu; Chuanfu Xiao; Kejun Tang; Jizu Huang; Chao Yang 002 (CoRR, 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 002 (SIAM J. Sci. Comput., 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., 2024)

Deep Adaptive Sampling for Surrogate Modeling Without Labeled Data. - Xili Wang; Kejun Tang; Jiayu Zhai; Xiaoliang Wan; Chao Yang 002 (J. Sci. Comput., 2024)

Provable Low-Rank Tensor-Train Approximations in the Inverse of Large-Scale Structured Matrices. - Chuanfu Xiao; Kejun Tang; Zhitao Zhu (CoRR, 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, 2025)