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)

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

Instance-wise multi-view representation learning. - Dan Li; Haibao Wang; Yufeng Wang 012; Shengpei Wang (Inf. Fusion, 2023)