Hierarchical Class Level Attribute Guided Generative Meta Learning for Pest Image Zero-shot Learning. - Shansong Wang; Qingtian Zeng; Weijian Ni; Xue Zhang; Cheng Cheng (ICME, 2023)

ODP-Transformer: Interpretation of pest classification results using image caption generation techniques. - Shansong Wang; Qingtian Zeng; Weijian Ni; Cheng Cheng; Yanxue Wang (Comput. Electron. Agric., 2023)

Multi-modal pseudo-information guided unsupervised deep metric learning for agricultural pest images. - Shansong Wang; Qingtian Zeng; Xue Zhang; Weijian Ni; Cheng Cheng (Inf. Sci., 2023)

PAST-net: a swin transformer and path aggregation model for anthracnose instance segmentation. - Yanxue Wang; Shansong Wang; Weijian Ni; Qingtian Zeng (Multim. Syst., 2023)

SEViT: a large-scale and fine-grained plant disease classification model based on transformer and attention convolution. - Qingtian Zeng; Liangwei Niu; Shansong Wang; Weijian Ni (Multim. Syst., 2023)

APD-229: a textual-visual database for agricultural pests and diseases. - Shansong Wang; Weijian Ni; Qingtian Zeng; Nengfu Xie; Chao Li 022 (Multim. Tools Appl., 2024)

Multi-scale adaptive learning network with double connection mechanism for super-resolution on agricultural pest images. - Qingtian Zeng; Sai Chang; Shansong Wang; Weijian Ni (Vis. Comput., 2024)

Unsupervised deep metric learning algorithm for crop disease images based on knowledge distillation networks. - Qingtian Zeng; Xinheng Li; Shansong Wang; Weijian Ni; Hua Duan; Nengfu Xie; Fengjin Xiao (Multim. Syst., 2024)

Generalized zero-shot pest and disease image classification based on causal gating model. - Shansong Wang; Qingtian Zeng; Guiyuan Yuan; Weijian Ni; Chao Li 022; Hua Duan; Nengfu Xie; Fengjin Xiao; Xiaofeng Yang (Comput. Electron. Agric., 2025)

A Physics-Informed Deep Learning Model for MRI Brain Motion Correction. - Mojtaba Safari; Shansong Wang; Zach Eidex; Richard L. J. Qiu; Chih-Wei Chang; David S. Yu; Xiaofeng Yang 005 (CoRR, 2025)

Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging. - Shansong Wang; Mojtaba Safari; Qiang Li; Chih-Wei Chang; Richard L. J. Qiu; Justin Roper; David S. Yu; Xiaofeng Yang 005 (CoRR, 2025)

MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting. - Mojtaba Safari; Shansong Wang; Zach Eidex; Qiang Li; Erik H. Middlebrooks; David S. Yu; Xiaofeng Yang (CoRR, 2025)

Reb-DINO: A Lightweight Pedestrian Detection Model With Structural Re-Parameterization in Apple Orchard. - Ruiyang Li; Ge Song; Shansong Wang; Qingtian Zeng; Guiyuan Yuan; Weijian Ni; Nengfu Xie; Fengjin Xiao (Comput. Intell., 2025)

MRI motion correction via efficient residual-guided denoising diffusion probabilistic models. - Mojtaba Safari; Shansong Wang; Qiang Li; Zach Eidex; Richard L. J. Qiu; Chih-Wei Chang; Hui Mao; Xiaofeng Yang 005 (CoRR, 2025)

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation. - Shansong Wang; Zhecheng Jin; Mingzhe Hu; Mojtaba Safari; Feng Zhao; Chih-Wei Chang; Richard L. J. Qiu; Justin Roper; David S. Yu; Xiaofeng Yang 005 (CoRR, 2025)

Capabilities of GPT-5 on Multimodal Medical Reasoning. - Shansong Wang; Mingzhe Hu; Qiang Li; Mojtaba Safari; Xiaofeng Yang (CoRR, 2025)

Performance of GPT-5 in Brain Tumor MRI Reasoning. - Mojtaba Safari; Shansong Wang; Mingzhe Hu; Zach Eidex; Qiang Li; Xiaofeng Yang (CoRR, 2025)

Is ChatGPT-5 Ready for Mammogram VQA? - Qiang Li; Shansong Wang; Mingzhe Hu; Mojtaba Safari; Zach Eidex; Xiaofeng Yang 005 (CoRR, 2025)

DINOv3 with Test-Time Training for Medical Image Registration. - Shansong Wang; Mojtaba Safari; Mingzhe Hu; Qiang Li; Chih-Wei Chang; Richard L. J. Qiu; Xiaofeng Yang 005 (CoRR, 2025)