Shape sensitivity analysis for a Robin problem via minimax differentiability. - Zhiming Gao; Yichen Ma (Appl. Math. Comput., 2006)

Drag minimization for Stokes flow. - Zhiming Gao; Yichen Ma (Appl. Math. Lett., 2008)

Optimal shape design for Stokes flow via minimax differentiability. - Zhiming Gao; Yichen Ma; Hongwei Zhuang (Math. Comput. Model., 2008)

Linearity preserving nine-point schemes for diffusion equation on distorted quadrilateral meshes. - Jiming Wu; Zihuan Dai; Zhiming Gao; Guangwei Yuan (J. Comput. Phys., 2010)

A stabilized linearity-preserving scheme for the heterogeneous and anisotropic diffusion problems on polygonal meshes. - Jiming Wu; Zhiming Gao; Zihuan Dai (J. Comput. Phys., 2012)

A small stencil and extremum-preserving scheme for anisotropic diffusion problems on arbitrary 2D and 3D meshes. - Zhiming Gao; Jiming Wu (J. Comput. Phys., 2013)

Interpolation-based second-order monotone finite volume schemes for anisotropic diffusion equations on general grids. - Jiming Wu; Zhiming Gao (J. Comput. Phys., 2014)

A Second-Order Positivity-Preserving Finite Volume Scheme for Diffusion Equations on General Meshes. - Zhiming Gao; Jiming Wu (SIAM J. Sci. Comput., 2015)

Shape identification for convection-diffusion problem based on the continuous adjoint method. - Wen-Jing Yan; Jiangyong Hou; Zhiming Gao (Appl. Math. Lett., 2017)

Numerical and Experimental Studies on a Three-Dimensional Numerical Wave Tank. - Xiaojie Tian; Qingyang Wang 001; Guijie Liu; Wei Deng; Zhiming Gao (IEEE Access, 2018)

An explicit a posteriori error estimations for the cell functional minimization scheme of elliptic problems. - Li Yin; Zhiming Gao; Yanzhao Cao (J. Comput. Appl. Math., 2019)

An extremum-preserving finite volume scheme for convection-diffusion equation on general meshes. - Gang Peng; Zhiming Gao; Xinlong Feng (Appl. Math. Comput., 2020)

A novel cell-centered finite volume scheme with positivity-preserving property for the anisotropic diffusion problems on general polyhedral meshes. - Gang Peng; Zhiming Gao; Xinlong Feng (Appl. Math. Lett., 2020)

Divergence-free radial kernel for surface Stokes equations based on the surface Helmholtz decomposition. - Jingwei Li; Zhiming Gao; Zihuan Dai; Xinlong Feng (Comput. Phys. Commun., 2020)

Medication Rule and Mechanism of Action for the Treatment of Polycystic Ovary Syndrome Based on Data Mining and Network Pharmacology. - Zhiming Gao; Guifang Hu; Xiaolan Zou; Lingzhi Kong; Yuanjun Zou (BIBM, 2021)

The cell-centered positivity-preserving finite volume scheme for 3D anisotropic diffusion problems on distorted meshes. - Gang Peng; Zhiming Gao; Wenjing Yan; Xinlong Feng (Comput. Phys. Commun., 2021)

Research on Estimation Method of Geometric Features of Structured Negative Obstacle Based on Single-Frame 3D Laser Point Cloud. - Xingdong Li; Zhiming Gao; Xiandong Chen; Shufa Sun; Jiuqing Liu (Inf., 2021)

Prediction of Forest Fire Spread Rate Using UAV Images and an LSTM Model Considering the Interaction between Fire and Wind. - Xingdong Li; Hewei Gao; Mingxian Zhang; Shiyu Zhang; Zhiming Gao; Jiuqing Liu; Shufa Sun; Tongxin Hu; Long Sun (Remote. Sens., 2021)

Mechanism of Cold-Dampness Epidemic Prescription in Treatment of Novel Coronavirus Pneumonia Based on Network Pharmacology. - Zhiming Gao; Yuanjun Zou (BIBM, 2022)

Network Pharmacology and Molecular Docking Technology Analysis of the Mechanism of Lichong Decoction in the Treatment of Uterine Leiomyoma. - Yajie He; Yanbo Wang; Jingwen Xu; Zhiming Gao; Huaizhong Yang (BIBM, 2022)

Medication Rules and Mechanism of Action for the Treatment of Lung Abscess of Ancient Prescription Based on Data Mining and Network Pharmacology. - Dongyang Suo; Zhiming Gao; Yuanjun Zou (BIBM, 2022)

Medication Rule and Mechanism of Action for the Treatment of Mumps Based on Data Mining and Network Pharmacology. - Xiaolan Zou; Xiaorui Hou; Zhiming Gao; Guifang Hu; Yuanjun Zou (BIBM, 2022)

A Positivity-Preserving Finite Volume Scheme for Nonequilibrium Radiation Diffusion Equations on Distorted Meshes. - Di Yang; Gang Peng; Zhiming Gao (Entropy, 2022)

A deep learning framework for multi-scale models based on physics-informed neural networks. - Yong Wang; Yanzhong Yao; Jiawei Guo; Zhiming Gao (CoRR, 2023)

A practical PINN framework for multi-scale problems with multi-magnitude loss terms. - Yong Wang; Yanzhong Yao; Jiawei Guo; Zhiming Gao (J. Comput. Phys., 2024)

Application of Wireless Charging at Seaports for Range Extension of Drayage Battery Electric Trucks. - Fuad Un-Noor; Alexander Vu; Shams Tanvir; Zhiming Gao; Matthew J. Barth; Kanok Boriboonsomsin (IEEE Trans. Veh. Technol., 2024)

An extrapolation-driven network architecture for physics-informed deep learning. - Yong Wang; Yanzhong Yao; Zhiming Gao (Neural Networks, 2025)