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1. Tiantian Wang, Zhen Gao, Longjiang Mu, Xiang Sun*, A reduced-order model based on Gaussian process dynamical models for time-dependent parameterized partial differential equations, 2025, Submitted.
2. Xinyi Yang, Longjiang Mu, Zhen Gao, Xiang Sun*, A sparse dynamic mode decomposition for time-dependent parameterized partial differential equations based on generalized empirical interpolation, Physics of Fluids, 2025, 37(8), 087227.
3. Siqi Zhao, Rui Bao*, Long Zhou, Mingzhi Liu, Xiang Sun, Zhen Gao, Yang Zhou, Nan Wang, Yipeng Wang, Junhui Chen, Lei Xing, Chuanlun Zhang, Temperature-dependent spatial and temporal trends in archaeal lipid distributions: Insights from molecular dynamics simulations, Communications Earth & Environment, 2025, 6, 619.
4. Tiantian Xu, Xiang Sun*, Jung-Il Choi, Reduced-order modeling for uncertainty quantification of parameterized fluid-structure interaction problems, Journal of Computational Physics, 2025, 538, 114197.
5. Yuanhong Chen, Zhen Gao*, Jan S. Hesthaven, Yifan Lin, Xiang Sun, A coordinate transformation-based physics-informed neural networks for hyperbolic conservation laws, Journal of Computational Physics, 2025, 538, 114161.
6. Yuanhong Chen, Yifan Lin, Xiang Sun, Chunxin Yuan, Zhen Gao*, Tensor decomposition-based neural operator with dynamic mode decomposition for parameterized time-dependent problems, Journal of Computational Physics, 2025, 533, 113996.
7. Yiwei Meng, Yuanhong Chen, Zheng Gao, Longjiang Mu, Xiang Sun*, Deep learning-based reduced-order modeling for parameterized convection-dominated partial differential equations, Physics of Fluids, 2025, 37(2), 027139.
8. Yifan Lin, Xiang Sun, Jie Nie, Yuanhong Chen, Zhen Gao, An efficient reduced-order model based on dynamic mode decomposition for parameterized spatial high-dimensional PDEs, Communications in Computational Physics, 2025, 37, 575-602.
9. Shuman Wang, Afshan Batool, Xiang Sun*, Xiaomin Pan, A non-intrusive reduced-order model for time-dependent stochastic partial differential equations utilizing dynamic mode decomposition and polynomial chaos expansion, Chaos, 2024, 34, 073102.
10. Xinjie Wang, Maoquan Sun, Yundong Guo*, Chunxin Yuan, Xiang Sun, Zhiqiang Wei, Xiaogang Jin, Octree-based hierarchical sampling optimization for the volumetric super-resolution of scientific data, Journal of Computational Physics, 2024, 502(41), 112804.
11. Yuanhong Chen, Li Liu, Chunxin Yuan, Xiang Sun, Xueen Chen, Zhiqiang Wei, Zhen Gao*, Physics-informed deep operator learning based on reduced-order modelling for retrieving the ocean interior density from the surface, Journal of Geophysical Research-Oceans, 2024, 129(2).
12. Mingyu Yang, Seongyoon Kim, Xiang Sun, Sanghyun Kim, Jiyong Choi, Taeseon Park, Jung-Il Choi*, Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions, Applied Thermal Engineering, 2024, 236:121669.
13. Yifan Lin, Zhen Gao, Yuanhong Chen, Xiang Sun*, A dynamic mode decomposition based reduced-order model for parameterized time-dependent partial differential equations, Journal of Scientific Computing, 2023, 95:70.
14. Yuanhong Chen, Li Liu, Xueen Chen, Zhiqiang Wei, Xiang Sun, Chunxin Yuan, Zhen Gao*, Data driven three-dimensional temperature and salinity anomaly reconstruction of the northwest Pacific Ocean, Frontiers in Marine Science-Physical Oceanography, 2023, 10:1121334.
15. Yuanhong Chen, Xiang Sun, Yifan Lin, Zhen Gao*, An adaptive non-intrusive multi-fidelity reduced basis method for parameterized partial differential equations, East Asian Journal on Applied Mathematics, 2023, Online Published.
16. Xiang Sun, Seongyoon Kim, Jung-Il Choi*, Recurrent neural network-induced Gaussian process, Neurocomputing, 2022, 509:75-84.
17. Zhen Gao, Yifan Lin, Xiang Sun*, Xueying Zeng, A reduced order method for nonlinear parameterized partial differential equations using dynamic mode decomposition coupled with k-nearest-neighbors regression, Journal of Computational Physics, 2022, 452:110907.
18. Sangwoon Yun, Xiang Sun, Jung-Il Choi, Stochastic gradient methods for l2-Wasserstein least squares problem of Gaussian measures, Journal of the Korean Society for Industrial and Applied Mathematics, 2021, 25(4):162-172.
19. Xiang Sun, Xiaomin Pan, Jung-Il Choi*, Non-intrusive framework of reduced-order modeling based on proper orthogonal decomposition and polynomial chaos expansion, Journal of Computational and Applied Mathematics, 2021, 390, 113372.
20. Xiang Sun, Jung-Il Choi*, Non-intrusive reduced-order modeling for uncertainty quantification of space-time-dependent parameterized problems, Computers and Mathematics with Applications, 2021, 87, 50-64.
21. Xiang Sun, Yun Young Choi, Jung-Il Choi*, Global sensitivity analysis for multivariate outputs using polynomial chaos based surrogate models, Applied Mathematical Modelling, 2020, 82, 867-887.
22. Xiang Sun, Eunjung Lee, Jung-Il Choi*, Quantification of measurement error effect on conductivity reconstruction in electrical impedance tomography, Inverse Problems in Science & Engineering, 2020, 28, 1669-1693.
23. Jun Ho Jang, Geunwoo Oh, Xiang Sun, Jong Su Kim, Tae Hee Kwak, Jung-Il Choi*, Heat transfer analysis and optimization for improving oil cooling performance of the electric vehicle motor, Journal of Computational Fluid Engineering, 2020, 25, 25-33.
24. Xiang Sun, Jinsoo Park, Jung-Il Choi*, Gwang Hoon Rhee, Uncertainty quantification of upstream wind effects on single-sided ventilation in a building using generalized polynomial chaos method, Building and Environment, 2017, 125, 153-167.
25. Jinsoo Park, Xiang Sun, Jung-Il Choi, Gwang Hoon Rhee, Effect of wind and buoyancy interaction on single-sided ventilation in a building, Journal of Wind Engineering and Industrial Aerodynamics, 2017, 171, 380-389.
26. Daxiong Piao, Xiang Sun*, Boundedness of solutions for a class of impact oscillators with time-dependent polynomial potentials, Communications on Pure and Applied Analysis, 2014, 13, 645-655.
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