Di Wang

According to our database, Di Wang authored at least 37 papers between 2019 and 2025.

Collaborative distances:

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

2025

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

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

SPEX: A Vision-Language Model for Land Cover Extraction on Spectral Remote Sensing Images.

Dongchen Si, Di Wang, Erzhong Gao, Xiaolei Qin, Liu Zhao, Jing Zhang, Minqiang Xu, Jianbo Zhan, Jianshe Wang, Lin Liu, Bo Du, Liangpei Zhang

CoRR, August, 2025

ChangeBridge: Spatiotemporal Image Generation with Multimodal Controls for Remote Sensing.

Zhenghui Zhao, Chen Wu, Di Wang, Hongruixuan Chen, Zhuo Zheng

CoRR, July, 2025

Intra-Trajectory Consistency for Reward Modeling.

Chaoyang Zhou, Shunyu Liu, Zengmao Wang, Di Wang, Rong-Cheng Tu, Bo Du, Dacheng Tao

CoRR, June, 2025

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution.

Fengxiang Wang, Mingshuo Chen, Yueying Li, Di Wang, Haotian Wang, Zonghao Guo, Zefan Wang, Boqi Shan, Long Lan, Yulin Wang, Hongzhen Wang, Wenjing Yang, Bo Du, Jing Zhang

CoRR, May, 2025

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series.

Xiaolei Qin, Di Wang, Jing Zhang, Fengxiang Wang, Xin Su, Bo Du, Liangpei Zhang

CoRR, May, 2025

DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration.

Hebaixu Wang, Jing Zhang, Haonan Guo, Di Wang, Jiayi Ma, Bo Du

CoRR, April, 2025

MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image Classification.

Yichu Xu, Di Wang, Hongzan Jiao, Lefei Zhang, Liangpei Zhang

CoRR, April, 2025

RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing.

Fengxiang Wang, Hongzhen Wang, Yulin Wang, Di Wang, Mingshuo Chen, Haiyan Zhao, Yangang Sun, Shuo Wang, Long Lan, Wenjing Yang, Jing Zhang

CoRR, March, 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

Plug-and-Play DISep: Separating Dense Instances for Scene-to-Pixel Weakly-Supervised Change Detection in High-Resolution Remote Sensing Images.

Zhenghui Zhao, Chen Wu, Lixiang Ru, Di Wang, Hongruixuan Chen, Cuiqun Chen

CoRR, January, 2025

TransWCD: Scene-Adaptive Joint Constrained Framework for Weakly Supervised Change Detection.

Zhenghui Zhao, Lixiang Ru, Chen Wu, Di Wang

IEEE Trans. Geosci. Remote. Sens., 2025

Dual selective fusion transformer network for hyperspectral image classification.

Yichu Xu, Di Wang, Lefei Zhang, Liangpei Zhang

Neural Networks, 2025

Spatiotemporal masked pre-training for advancing crop mapping on satellite image time series with limited labels.

Xiaolei Qin, Haonan Guo, Xin Su, Zhenghui Zhao, Di Wang, Liangpei Zhang

Int. J. Appl. Earth Obs. Geoinformation, 2025

MT-CYP-Net: Multi-task network for pixel-level crop yield prediction under very few samples.

Shenzhou Liu, Di Wang, Haonan Guo, Chengxi Han, Wenzhi Zeng

Int. J. Appl. Earth Obs. Geoinformation, 2025

XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?

Fengxiang Wang, Hongzhen Wang, Zonghao Guo, Di Wang, Yulin Wang, Mingshuo Chen, Qiang Ma, Long Lan, Wenjing Yang, Jing Zhang, Zhiyuan Liu, Maosong Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

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