MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images. - Yiyang Shen; Yidan Feng; Sen Deng; Dong Liang 008; Jing Qin 001; Haoran Xie 001; Mingqiang Wei (CoRR, 2020)

MBA-RainGAN: A Multi-Branch Attention Generative Adversarial Network for Mixture of Rain Removal. - Yiyang Shen; Yidan Feng; Weiming Wang 002; Dong Liang 008; Jing Qin 001; Haoran Xie 001; Mingqiang Wei (ICASSP, 2022)

Investigating the Mechanism of Chemical Drugs on Neurodegenerative Diseases. - Yiyang Shen (ICBBB, 2022)

Semi-DRDNet Semi-supervised Detail-recovery Image Deraining Network via Unpaired Contrastive Learning. - Yiyang Shen; Sen Deng; Wenhan Yang; Mingqiang Wei; Haoran Xie 001; Xiao-Ping Zhang 002; Jing Qin 001; Meng Wang 001 (CoRR, 2022)

Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removal. - Yiyang Shen; Yongzhen Wang; Mingqiang Wei; Honghua Chen; Haoran Xie 001; Gary Cheng 001; Fu Lee Wang (CoRR, 2022)

PSFormer: Point Transformer for 3D Salient Object Detection. - Baian Chen; Lipeng Gu; Xin Zhuang; Yiyang Shen; Weiming Wang 002; Mingqiang Wei (CoRR, 2022)

ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection. - Yiyang Shen; Rongwei Yu; Peng Wu; Haoran Xie 001; Lina Gong; Jing Qin 001; Mingqiang Wei (CoRR, 2022)

Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal. - Yiyang Shen; Yongzhen Wang; Mingqiang Wei; Honghua Chen; Haoran Xie 001; Gary Cheng 001; Fu Lee Wang (Comput. Graph. Forum, 2022)

Comparative Differences of Physical Mechanism Model and Data-Driven Model on Overhead Transmission Line Icing Thickness Prediction. - Xiaolu Bai; Jianshuang Lv; Decheng Cai; Yiyang Shen; Yi Wan; Hui Hou (iSPEC, 2023)

RainDiffusion: When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining. - Mingqiang Wei; Yiyang Shen; Yongzhen Wang; Haoran Xie 001; Fu Lee Wang (CoRR, 2023)

HLA-HOD: Joint High-Low Adaptation for Object Detection in Hazy Weather Conditions. - Yiyang Shen; Rongwei Yu; Ni Shu; Jing Qin 001; Mingqiang Wei (Int. J. Intell. Syst., 2023)

ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3-D Object Detection. - Yiyang Shen; Rongwei Yu; Peng Wu; Haoran Xie 001; Lina Gong; Jing Qin 001; Mingqiang Wei (IEEE Trans. Geosci. Remote. Sens., 2023)

Cross-Resolution Land Cover Classification Using Outdated Products and Transformers. - Huan Ni; Yubin Zhao; Haiyan Guan; Cheng Jiang; Yongshi Jie; Xing Wang; Yiyang Shen (CoRR, 2024)

UAV imaging hyperspectral for barnyard identification and spatial distribution in paddy fields. - Yanchao Zhang; Ziyi Yan; Junfeng Gao; Yiyang Shen; Haozhe Zhou; Wei Tang; Yongliang Lu; Yongjie Yang 005 (Expert Syst. Appl., 2024)

High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model. - Yiyang Shen; Kun Zhou 001; He Wang 002; Yin Yang 002; Tianjia Shao (CVPR, 2025)

Generative adversarial network with double discrimination for heterogeneous hyperspectral reconstruction. - Haozhe Zhou; Yiyang Shen; Ziyi Yan; Yongjie Yang 005; Xiaoyue Yu; Yongliang Lu; Yanchao Zhang (Comput. Electron. Agric., 2025)

A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels. - Yiyang Shen; Weiran Wang (CoRR, 2025)