Kejun Tang, Ph.D.

Title：Assistant Professor

E-mail: tangkj@gbu.edu.cn

Home Page：https://www.tangkejun.com

Research Areas

uTensor Computation

uDeep Generative Modeling

uScientific Computing

uUncertainty Quantification

Main Achievements

uIn recent years, he has published 10 papers in peer-reviewed journals in computational mathematics. The main results of his research are published in Journal of Computational Physics (JCP), SIAM Journal on Scientific Computing (SISC), Journal of Scientific Computing (JSC), and ICLR.

Education Qualifications

u2015.09−2021.01, Chinese Academy of Sciences (also ShanghaiTech University), Ph.D. Degree

u2011.09−2015.06, YanTai University, B.S. Degree

Academic Experience

u2025.03−Present, Assistant Professor, Great Bay University

u2024.11−2025.03, Senior Research Fellow, Shenzhen University of Advanced Technology 

u2023.02−2024.08, Research Fellow, PKU-Changsha Institute for Computing and Digital Economy

u2021.02-2023.01, Postdoctoral Fellow, Peng Cheng Laboratory

Selected Publications

1. Kejun Tang, Xiaoliang Wan, and Chao Yang, DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations, Journal of Computational Physics 476 (2023): 111868.

2. Kejun Tang, Xiaoliang Wan, and Qifeng Liao, Adaptive deep density approximation for Fokker-Planck equations, Journal of Computational Physics, 457 (2022): 111080.

3. Kejun Tang and Qifeng Liao, Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs, Journal of Computational Physics, 409 (2020): 109326.

4. Kejun Tang, Jiayu Zhai, Xiaoliang Wan, and Chao Yang, Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs, The International Conference on Learning Representations (ICLR), 2024.

5. Xili Wang, Kejun Tang, Jiayu Zhai, Xiaoliang Wan, and Chao Yang, Deep adaptive sampling for surrogate modeling without labeled data, accepted by Journal of Scientific Computing, 101, 77 (2024).

6. Kejun Tang, Xiaoliang Wan, and Qifeng Liao, Deep density estimation via invertible block-triangular mapping, Theoretical and Applied Mechanics Letters, 10 (3), 143-148, 2020.

7. Pengfei Yin, Guangqiang Xiao, Kejun Tang and Chao Yang, AONN: An adjoint-oriented neural network method for all-at-once solutions of parametric optimal control problems, SIAM Journal on Scientific Computing, 46(1): C127-C153, 2024.