Yiyan Zhang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2026
Inf. Fusion, 2026
Adaptive multi-stage fusion of hyperspectral and LiDAR data via selective state space models.
Inf. Fusion, 2026
2025
Inf. Process. Manag., 2025
Dynamics analysis and DSP implementation of a new four-dimensional discrete memristor hyperchaotic map.
Integr., 2025
A novel 3D hyperchaotic map coupled with discrete tangent memristor: Dynamic analysis, DSP implementation, and image encryption application.
Expert Syst. Appl., 2025
2024
IEEE Commun. Mag., September, 2024
Error-Robust and Label-Efficient Deep Learning for Understanding Tumor Microenvironment From Spatial Transcriptomics.
IEEE Trans. Circuits Syst. Video Technol., August, 2024
A dual-branch siamese spatial-spectral transformer attention network for Hyperspectral Image Change Detection.
Expert Syst. Appl., March, 2024
Strengthened Residual Graph and Multiscale Gated Guided Convolutional Fusion Network for Hyperspectral Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
Dual-Feature Attention-Based Contrastive Prototypical Clustering for Multimodal Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2024
Airborne Small Target Detection Method Based on Multimodal and Adaptive Feature Fusion.
IEEE Trans. Geosci. Remote. Sens., 2024
Interactive Enhanced Network Based on Multihead Self-Attention and Graph Convolution for Classification of Hyperspectral and LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2024
Research on eight machine learning algorithms applicability on different characteristics data sets in medical classification tasks.
Frontiers Comput. Neurosci., 2024
A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification.
Expert Syst. Appl., 2024
2023
IEEE Trans. Geosci. Remote. Sens., 2023
AMSSE-Net: Adaptive Multiscale Spatial-Spectral Enhancement Network for Classification of Hyperspectral and LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2023
Depthwise Separable Convolutional Autoencoders for Hyperspectral Image Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2023
IEEE Geosci. Remote. Sens. Lett., 2023
IEEE Access, 2023
2022
Global to Local: A Hierarchical Detection Algorithm for Hyperspectral Image Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
Multiscale spectral-spatial cross-extraction network for hyperspectral image classification.
IET Image Process., 2022
Exploring the Collaboration Between Convolutional Neural Networks and Transformers in Hyperspectral Image Classification.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022
2021
A Multiscale Dual-Branch Feature Fusion and Attention Network for Hyperspectral Images Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Dynamic Data Augmentation Method for Hyperspectral Image Classification Based on Siamese Structure.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
CoRR, 2021
2018
Proceedings of the 9th International Conference on Social Media and Society, 2018
Proceedings of the IEEE Globecom Workshops, 2018
2015
Proceedings of the 2015 IEEE Global Communications Conference, 2015
2006
A Fast Framework for the Constrained Mean Trajectory Segment Model by Avoidance of Redundant Computation on Segment.
Int. J. Comput. Linguistics Chin. Lang. Process., 2006
2004
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004
2002
Accuracy improving method for parametric trajectory modeling and its use in a* search.
Proceedings of the 2002 International Symposium on Chinese Spoken Language Processing, 2002
Improving parametric trajectory modeling by integration of pitch and tone information.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002
Proceedings of the IEEE International Conference on Acoustics, 2002