Yingying Wang

According to our database, Yingying Wang authored at least 31 papers between 2023 and 2026.

Collaborative distances:

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

2026

Cross-Scale Pansharpening via ScaleFormer and the PanScale Benchmark.

Ke Cao, Xuanhua He, Xueheng Li, Lingting Zhu, Yingying Wang, Ao Ma, Zhanjie Zhang, Man Zhou, Chengjun Xie, Jie Zhang

CoRR, March, 2026

MedAD-R1: Eliciting Consistent Reasoning in Interpretible Medical Anomaly Detection via Consistency-Reinforced Policy Optimization.

Haitao Zhang, Yingying Wang, Jiaxiang Wang, Haote Xu, Hongyang Zhang, Yirong Chen, Yue Huang, Xinghao Ding

CoRR, February, 2026

Self-supervised Multiplex Consensus Mamba for General Image Fusion.

Yingying Wang, Rongjin Zhuang, Hui Zheng, Xuanhua He, Ke Cao, Xiaotong Tu, Xinghao Ding

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MMMamba: A Versatile Cross-Modal in Context Fusion Framework for Pan-Sharpening and Zero-Shot Image Enhancement.

Yingying Wang, Xuanhua He, Chen Wu, Jialing Huang, Suiyun Zhang, Rui Liu, Xinghao Ding, Haoxuan Che

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral Imaging.

Ge Meng, Zhongnan Cai, Jingyan Tu, Yingying Wang, Chenxin Li, Yue Huang, Xinghao Ding

CoRR, May, 2025

FRN: Fractal-Based Recursive Spectral Reconstruction Network.

Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang, Xinghao Ding

CoRR, May, 2025

Fusion2Void: Unsupervised Multi-Focus Image Fusion Based on Image Inpainting.

Huangxing Lin, Yunlong Lin, Jingyuan Xia, Linyu Fan, Feifei Li, Yingying Wang, Xinghao Ding

IEEE Trans. Circuits Syst. Video Technol., April, 2025

Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables.

Zhongnan Cai, Yingying Wang, Yunlong Lin, Hui Zheng, Ge Meng, Zixu Lin, Jiaxin Xie, Junbin Lu, Yue Huang, Xinghao Ding

CoRR, March, 2025

Frequency Decoupled Domain-Irrelevant Feature Learning for Pan-Sharpening.

Jie Zhang, Ke Cao, Keyu Yan, Yunlong Lin, Xuanhua He, Yingying Wang, Rui Li, Chengjun Xie, Jun Zhang, Man Zhou

IEEE Trans. Circuits Syst. Video Technol., February, 2025

Toward Generalizable Pansharpening: Conditional Flow-Based Learning Guided by Implicit High-Frequency Priors.

Yingying Wang, Hui Zheng, Feifei Li, Yunlong Lin, Linyu Fan, Xuanhua He, Yue Huang, Xinghao Ding

IEEE Trans. Geosci. Remote. Sens., 2025

Learning Diffusion High-Quality Priors for Pan-Sharpening: A Two-Stage Approach With Time-Aware Adapter Fine-Tuning.

Yingying Wang, Yunlong Lin, Xuanhua He, Hui Zheng, Keyu Yan, Linyu Fan, Yue Huang, Xinghao Ding

IEEE Trans. Geosci. Remote. Sens., 2025

Vision-Language Model Priors-Driven State Space Model for Infrared-Visible Image Fusion.

Rongjin Zhuang, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding

IEEE Signal Process. Lett., 2025

Pan-Mamba: Effective pan-sharpening with state space model.

Xuanhua He, Ke Cao, Jie Zhang, Keyu Yan, Yingying Wang, Rui Li, Chengjun Xie, Danfeng Hong, Man Zhou

Inf. Fusion, 2025

Spatial-frequency dual-domain Kolmogorov-Arnold networks for multimodal medical image fusion.

Lewu Lin, Jiaxin Xie, Yingying Wang, Jialing Huang, Rongjin Zhuang, Xiaotong Tu, Xinghao Ding, Na Shen, Qing Lu

Neurocomputing, 2025

SOMA: A semantic-guided Order-aware Mamba Architecture for multivariate time series forecasting.

Jinkai Zhang, Yingying Wang, Shengbin Ma, Xinghao Ding, Xiaotong Tu

Adv. Eng. Informatics, 2025

Freq-RWKV: Granularity-Aware Spatial-Frequency Synergy via Dual-Domain Recurrent Scanning for Pan-sharpening.

Xueheng Li, Xuanhua He, Tao Hu, Jie Zhang, Man Zhou, Chengjun Xie, Yingying Wang, Bo Huang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction.

Ge Meng, Jingyan Tu, Jingjia Huang, Yunlong Lin, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening.

Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors.

Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement.

Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Wenxue Li, Lei Zhu, Xinghao Ding

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Cross-Modality Interaction Network for Pan-Sharpening.

Yingying Wang, Xuanhua He, Yuhang Dong, Yunlong Lin, Yue Huang, Xinghao Ding

IEEE Trans. Geosci. Remote. Sens., 2024

Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection.

Linyu Fan, Yingying Wang, Guoliang Hu, Feifei Li, Yuhang Dong, Hui Zheng, Changqing Lin, Yue Huang, Xinghao Ding

IEEE Trans. Geosci. Remote. Sens., 2024

Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors.

Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Yue Huang, Xiaotong Tu, Xinghao Ding

CoRR, 2024

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement.

Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Lei Zhu, Xinghao Ding

CoRR, 2024

Training-Free Large Model Priors for Multiple-in-One Image Restoration.

Xuanhua He, Lang Li, Yingying Wang, Hui Zheng, Ke Cao, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou

CoRR, 2024

Efficient Perceiving Local Details via Adaptive Spatial-Frequency Information Integration for Multi-focus Image Fusion.

Jingjia Huang, Jingyan Tu, Ge Meng, Yingying Wang, Yuhang Dong, Xiaotong Tu, Xinghao Ding, Yue Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation.

Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening.

Jingjia Huang, Ge Meng, Yingying Wang, Yunlong Lin, Yue Huang, Xinghao Ding

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection.

Yuhang Dong, Yingying Wang, Linyu Fan, Xinghao Ding, Yue Huang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening.

Yingying Wang, Yunlong Lin, Ge Meng, Zhenqi Fu, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding, Yue Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Domain-irrelevant Feature Learning for Generalizable Pan-sharpening.

Yunlong Lin, Zhenqi Fu, Ge Meng, Yingying Wang, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding

Proceedings of the 31st ACM International Conference on Multimedia, 2023