Triple-adjacent-frame generative network for blind video motion deblurring. - Wenlong Liu; Yuejin Zhao; Ming Liu 029; Weichao Yi; Liquan Dong; Mei Hui (Neurocomputing, 2020)

Gated residual feature attention network for real-time Dehazing. - Weichao Yi; Liquan Dong; Ming Liu 029; Yuejin Zhao; Mei Hui; Lingqin Kong (Appl. Intell., 2022)

DCNet: dual-cascade network for single image dehazing. - Weichao Yi; Liquan Dong; Ming Liu 029; Yuejin Zhao; Mei Hui; Lingqin Kong (Neural Comput. Appl., 2022)

Semi-supervised progressive dehazing network using unlabeled contrastive guidance. - Weichao Yi; Liquan Dong; Ming Liu 029; Mei Hui; Lingqin Kong; Yuejin Zhao (Neurocomputing, 2023)

Frequency-guidance Collaborative Triple-branch Network for single image dehazing. - Weichao Yi; Liquan Dong; Ming Liu 029; Mei Hui; Lingqin Kong; Yuejin Zhao (Displays, 2023)

Priors-assisted dehazing network with attention supervision and detail preservation. - Weichao Yi; Liquan Dong; Ming Liu 029; Mei Hui; Lingqin Kong; Yuejin Zhao (Neural Networks, 2024)

Towards Compact Single Image Dehazing via Task-related Contrastive Network. - Weichao Yi; Liquan Dong; Ming Liu 029; Mei Hui; Lingqin Kong; Yuejin Zhao (Expert Syst. Appl., 2024)

MFAF-Net: image dehazing with multi-level features and adaptive fusion. - Weichao Yi; Liquan Dong; Ming Liu 029; Mei Hui; Lingqin Kong; Yuejin Zhao (Vis. Comput., 2024)

SID-Net: single image dehazing network using adversarial and contrastive learning. - Weichao Yi; Liquan Dong; Ming Liu 029; Mei Hui; Lingqin Kong; Yuejin Zhao (Multim. Tools Appl., 2024)

Multi-stage dehazing network: Where haze perception unit meets global and local progressive contrastive regularization. - Weichao Yi; Liquan Dong; Ming Liu; Lingqin Kong; Yue Yang; Xuhong Chu; Yuejin Zhao (Expert Syst. Appl., 2025)

Towards haze removal with derived pseudo-label supervision from real-world non-aligned training data. - Weichao Yi; Liquan Dong; Ming Liu; Lingqin Kong; Yue Yang; Xuhong Chu; Yuejin Zhao (Inf. Fusion, 2025)