Xinxin Wang

According to our database, Xinxin Wang authored at least 16 papers between 2015 and 2025.

Collaborative distances:

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

2025

Pseudo-Supervision Affinity Propagation for Efficient and Scalable Multiview Clustering.

Xinxin Wang, Yongshan Zhang, Yicong Zhou

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Elastic Graph Fusion Subspace Clustering for Large Hyperspectral Image.

Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Lefei Zhang, Bo Du

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

Structured Anchor Learning for Large-Scale Hyperspectral Image Projected Clustering.

Guozhu Jiang, Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Lefei Zhang

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

Bidirectional Probabilistic Multi-Graph Learning and Decomposition for Multi-View Clustering.

Xinxin Wang, Yongshan Zhang, Yicong Zhou

IEEE Trans. Image Process., 2025

Multimodal Remote Sensing Image Clustering With Multiscale Spectral-Spatial Anchor Graphs.

Xinxin Wang, Yongshan Zhang, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2025

Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images.

Enjia Gu, Yongshan Zhang, Xinxin Wang, Xinwei Jiang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering.

Xinxin Wang, Yongshan Zhang, Yicong Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Tensorial Global-Local Graph Self-Representation for Hyperspectral Band Selection.

Yongshan Zhang, Jianwen Qi, Xinxin Wang, Zhihua Cai, Jiangtao Peng, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., December, 2024

Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection.

Yongshan Zhang, Yijiang Li, Xinxin Wang, Xinwei Jiang, Yicong Zhou

IEEE Geosci. Remote. Sens. Lett., 2024

2022

Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection.

Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection.

Yongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

Latent representation learning based autoencoder for unsupervised feature selection in hyperspectral imagery.

Xinxin Wang, Zhenyu Wang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai

Multim. Tools Appl., 2022

Graph Learning Based Autoencoder for Hyperspectral Band Selection.

Yongshan Zhang, Xinxin Wang, Zhenyu Wang, Xinwei Jiang, Yicong Zhou

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Tensor-Based Unsupervised Multi-View Feature Selection for Image Recognition.

Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2019

Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine.

Yongshan Zhang, Xinwei Jiang, Xinxin Wang, Zhihua Cai

Remote. Sens., 2019

2015

A memetic algorithm based extreme learning machine for classification.

Yongshan Zhang, Zhihua Cai, Jia Wu, Xinxin Wang, Xiaobo Liu

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015