Pressure Recovery for Weakly Over-Penalized Discontinuous Galerkin Methods for the Stokes Problem. - Min Yang 009; Jiangguo Liu; Yanping Lin (J. Sci. Comput., 2015)

Optimal Order L2 Error Estimate of SDFEM on Shishkin Triangular Meshes for Singularly Perturbed Convection-Diffusion Equations. - Jin Zhang 004; Xiaowei Liu 002; Min Yang 009 (SIAM J. Numer. Anal., 2016)

The hybrid Wilson finite volume method for elliptic problems on quadrilateral meshes. - Yuanyuan Zhang; Min Yang 009; Chuanjun Chen (Adv. Comput. Math., 2019)

A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections. - Cong Xu; Min Yang 009; Jin Zhang 004 (CoRR, 2019)

Improve Adversarial Robustness via Weight Penalization on Classification Layer. - Cong Xu; Dan Li; Min Yang 009 (CoRR, 2020)

Adversarial Momentum-Contrastive Pre-Training. - Cong Xu; Min Yang 009 (CoRR, 2020)

Missingness Augmentation: A General Approach for Improving Generative Imputation Models. - Yufeng Wang 012; Dan Li; Cong Xu; Min Yang 009 (CoRR, 2021)

PC-GAIN: Pseudo-label conditional generative adversarial imputation networks for incomplete data. - Yufeng Wang 012; Dan Li; Xiang Li 088; Min Yang 009 (Neural Networks, 2021)

Error estimations in the balanced norm of finite element method on Bakhvalov-Shishkin triangular mesh for reaction-diffusion problems. - Xiaowei Liu 002; Min Yang 009 (Appl. Math. Lett., 2022)

Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions. - Yufeng Wang 012; Dan Li; Cong Xu; Min Yang 009 (CoRR, 2022)

Understanding Adversarial Robustness from Feature Maps of Convolutional Layers. - Cong Xu; Min Yang 009 (CoRR, 2022)

An orthogonal classifier for improving the adversarial robustness of neural networks. - Cong Xu; Xiang Li 088; Min Yang 009 (Inf. Sci., 2022)

Adversarial momentum-contrastive pre-training. - Cong Xu; Dan Li; Min Yang 009 (Pattern Recognit. Lett., 2022)

PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations. - Ruisong Gao; Yufeng Wang 012; Min Yang 009; Chuanjun Chen (CoRR, 2023)

Physics-informed generator-encoder adversarial networks with latent space matching for stochastic differential equations. - Ruisong Gao; Min Yang 009; Jin Zhang 004 (J. Comput. Sci., 2024)

Understanding Adversarial Robustness From Feature Maps of Convolutional Layers. - Cong Xu; Wei Zhang 056; Jun Wang 006; Min Yang 009 (IEEE Trans. Neural Networks Learn. Syst., 2025)