Bin Qian

Affiliations:
  • Traffic Management Research Institute of the Ministry of Public Security, Wuxi, China
  • Nanjing University of Science and Technology, Department of computer science and technology, Nanjing, China (PhD 2018)


According to our database1, Bin Qian authored at least 15 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Superpixel Spectral-Spatial Feature Fusion Graph Convolution Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Stochastic Depth Residual Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Hyperspectral Image Classification With Spectral and Spatial Graph Using Inductive Representation Learning Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Self-Attention-Based Conditional Variational Auto-Encoder Generative Adversarial Networks for Hyperspectral Classification.
Remote. Sens., 2021

2020
Adaptive Graph Regularized Multilayer Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2018
基于稀疏表示和多特征融合的路面裂缝检测 (Pavement Crack Detection Based on Sparse Representation and Multi-feature Fusion).
计算机科学, 2018

Hyper-graph Regularized Multi-view Matrix Factorization for Vehicle Identification.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017
Local and global regularized concept factorization for image clustering.
J. Electronic Imaging, 2017

Hyperspectral unmixing via deep matrix factorization.
Int. J. Wavelets Multiresolution Inf. Process., 2017

Nonnegative matrix factorization with region sparsity learning for hyperspectral unmixing.
Int. J. Wavelets Multiresolution Inf. Process., 2017

Melanoma Detection Based on Mahalanobis Distance Learning and Constrained Graph Regularized Nonnegative Matrix Factorization.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2016
Nonnegative matrix factorization with endmember sparse graph learning for hyperspectral unmixing.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Double Constrained NMF for Partial Multi-View Clustering.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

A Semi-supervised Learning Algorithm Based on Low Rank and Weighted Sparse Graph for Face Recognition.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

Deep Convex NMF for Image Clustering.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016


  Loading...