[1] Boyuan Ma, Xiaoyan Wei, Chuni Liu, Xiaojuan Ban*, et al. Data augmentation in microscopic images for material data mining[J]. npj Computational Materials, 2020, 6(1): 125. （Nature子刊）

[2] Zhaolin Yuan, Yewan Wang Xiaojuan Ban*, et al. Autonomous-Jump-ODENet: Identifying Continuous-Time Jump Systems for Cooling-System Prediction[J]. IEEE Transactions on Industrial Informatics, 2022.（中科院一区论文）

[3] Zhaolin Yuan, Xiaojuan Ban*, et al. ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2023, 37(9): 11060-11068.（CCF A类论文）

[4] Xiaokun Wang, Sinuo Liu, Xiaojuan Ban*, et al. Convergent turbulence refinement toward irrotational vortex[C]//ACM SIGGRAPH 2019. 2019: 1-2. （CCF A类论文）

[5] Xiaokun Wang, Sinuo Liu, Xiaojuan Ban*, et al. Recovering turbulence details using velocity correction for sph fluids[C]//SIGGRAPH Asia 2019. 2019: 95-98. （CCF A类论文）

[6] Sinuo Liu, Ben Wang, Xiaojuan Ban*. Multiple-scale simulation method for liquid with trapped air under particle-based framework[C]//2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2020: 842-850. （CCF A类论文）

[7] Sinuo Liu, Xiaokun Wang, Xiaojuan Ban*, et al. Viscosity-based vorticity correction for turbulent sph fluids[C]//2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2019: 1048-1049. （CCF A类论文）

[8] Yalan Zhang, Xiaojuan Ban*, Feilong Du, et al. FluidsNet: End-to-end learning for Lagrangian fluid simulation [J]. Expert Systems With Applications, 2020, 8(152):113410. （中科院一区论文）

[9] Xiaokun Wang, Sinuo Liu, Xiaojuan Ban*, et al. Robust turbulence simulation for particle-based fluids using the Rankine vortex model[J]. The Visual Computer, 2020, 36: 2285-2298. （CGI最佳论文奖）

[10] 徐衍睿，王笑琨，班晓娟等, 面向多相流模拟的体积通量无散度 SPH 方法[J]. Journal of Computer-Aided Design & Computer Graphics ao, 2022, 34(11).（CAD/CG2022最佳学生论文奖）