Di Wang

According to our database, Di Wang authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities.

Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, Dacheng Tao

ACM Comput. Surv., February, 2025

2024

HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search.

Di Wang, Bo Du, Liangpei Zhang, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification.

Di Wang, Bo Du, Liangpei Zhang

IEEE Trans. Neural Networks Learn. Syst., September, 2024

ITER: Image-to-Pixel Representation for Weakly Supervised HSI Classification.

Jiaqi Yang, Bo Du, Di Wang, Liangpei Zhang

IEEE Trans. Image Process., 2024

MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining.

Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dong-Sheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation.

Ziyang Gong, Zhixiang Wei, Di Wang, Xianzheng Ma, Hongruixuan Chen, Yuru Jia, Yupeng Deng, Zhenming Ji, Xiangwei Zhu, Naoto Yokoya, Jing Zhang, Bo Du, Liangpei Zhang

CoRR, 2024

Selective Transformer for Hyperspectral Image Classification.

Yichu Xu, Di Wang, Lefei Zhang, Liangpei Zhang

CoRR, 2024

Scaling Efficient Masked Autoencoder Learning on Large Remote Sensing Dataset.

Fengxiang Wang, Hongzhen Wang, Di Wang, Zonghao Guo, Zhenyu Zhong, Long Lan, Jing Zhang, Zhiyuan Liu, Maosong Sun

CoRR, 2024

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model.

Di Wang, Meiqi Hu, Yao Jin, Yuchun Miao, Jiaqi Yang, Yichu Xu, Xiaolei Qin, Jiaqi Ma, Lingyu Sun, Chenxing Li, Chuan Fu, Hongruixuan Chen, Chengxi Han, Naoto Yokoya, Jing Zhang, Minqiang Xu, Lin Liu, Lefei Zhang, Chen Wu, Bo Du, Dacheng Tao, Liangpei Zhang

CoRR, 2024

MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining.

Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang

CoRR, 2024

LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation.

Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang, Bo Du

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

DCN-T: Dual Context Network With Transformer for Hyperspectral Image Classification.

Di Wang, Jing Zhang, Bo Du, Liangpei Zhang, Dacheng Tao

IEEE Trans. Image Process., 2023

Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model.

Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang

IEEE Trans. Geosci. Remote. Sens., 2023

An Empirical Study of Remote Sensing Pretraining.

Di Wang, Jing Zhang, Bo Du, Gui-Song Xia, Dacheng Tao

IEEE Trans. Geosci. Remote. Sens., 2023

Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model.

Di Wang, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang

CoRR, 2023

Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey.

Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, Dacheng Tao

CoRR, 2023

SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model.

Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Fully Contextual Network for Hyperspectral Scene Parsing.

Di Wang, Bo Du, Liangpei Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model.

Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang

CoRR, 2022

2021

Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification.

Di Wang, Bo Du, Liangpei Zhang, Yonghao Xu

IEEE Trans. Geosci. Remote. Sens., 2021

RCSANet: A Full Convolutional Network for Extracting Inland Aquaculture Ponds from High-Spatial-Resolution Images.

Zhe Zeng, Di Wang, Wenxia Tan, Gongliang Yu, Jiacheng You, Botao Lv, Zhongheng Wu

Remote. Sens., 2021

Spectral-Spatial Graph Reasoning Network for Hyperspectral Image Classification.

Di Wang, Bo Du, Liangpei Zhang

CoRR, 2021

2019

Extracting aquaculture ponds from natural water surfaces around inland lakes on medium resolution multispectral images.

Zhe Zeng, Di Wang, Wenxia Tan, Jianhua Huang

Int. J. Appl. Earth Obs. Geoinformation, 2019