Hanqiang Liu
Orcid: 0000-0001-8774-8625Affiliations:
- Shaanxi Normal University, School of Computer Science, Xi'an, China
- Xidian University, Institute of Intelligent Information Processing, Xi'an, China (PhD 2011)
According to our database1,
Hanqiang Liu
authored at least 47 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Learning behavior feature fused deep learning network model for MOOC dropout prediction.
Educ. Inf. Technol., February, 2024
2023
Multiple population-based multi-objective evolutionary semi-supervised multi-kernel region fuzzy clustering image segmentation.
Memetic Comput., December, 2023
Multiple vision architectures-based hybrid network for hyperspectral image classification.
Expert Syst. Appl., December, 2023
A reliable region information driven kriging-assisted multiobjective rough fuzzy clustering algorithm for color image segmentation.
Expert Syst. Appl., October, 2023
Convolution Transformer Fusion Splicing Network for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2023
A knee point driven Kriging-assisted multi-objective robust fuzzy clustering algorithm for image segmentation.
Knowl. Based Syst., 2023
Proceedings of the 8th International Conference on Mathematics and Artificial Intelligence, 2023
A ConvMixEst and Multi-attention UNet for Intervertebral Disc Segmentation in Multi-modal MRI.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
Particle Competitive Mechanism Based Multiobjective Rough Clustering Algorithm for Image Segmentation.
IEEE Trans. Fuzzy Syst., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Robust intuitionistic fuzzy clustering with bias field estimation for noisy image segmentation.
Intell. Data Anal., 2022
Broad learning approach to Surrogate-Assisted Multi-Objective evolutionary fuzzy clustering algorithm based on reference points for color image segmentation.
Expert Syst. Appl., 2022
Residual Dense Asymmetric Convolutional Neural Network for Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Densely Connected Pyramidal Dilated Convolutional Network for Hyperspectral Image Classification.
Remote. Sens., 2021
Just noticeable difference color space consistency spectral clustering based on firefly algorithm for image segmentation.
Evol. Intell., 2021
Coarse-fine surrogate model driven multiobjective evolutionary fuzzy clustering algorithm with dual memberships for noisy image segmentation.
Appl. Soft Comput., 2021
Multiobjective fuzzy clustering with multiple spatial information for Noisy color image segmentation.
Appl. Intell., 2021
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021
Semi-Supervised PolSAR Image Classification Based on Deep Co-Training with Superpixel Restrained Strategy.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Semisupervised Approach to Surrogate-Assisted Multiobjective Kernel Intuitionistic Fuzzy Clustering Algorithm for Color Image Segmentation.
IEEE Trans. Fuzzy Syst., 2020
A New Parallel Dual-Channel Fully Convolutional Network Via Semi-Supervised FCM for PolSAR Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Adaptive multilevel thresholding based on multiobjective artificial bee colony optimization for noisy image segmentation.
J. Intell. Fuzzy Syst., 2020
PolSAR image classification via a novel semi-supervised recurrent complex-valued convolution neural network.
Neurocomputing, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Noise Robust Multiobjective Evolutionary Clustering Image Segmentation Motivated by the Intuitionistic Fuzzy Information.
IEEE Trans. Fuzzy Syst., 2019
A multi-objective interval valued fuzzy clustering algorithm with spatial information for noisy image segmentation.
J. Intell. Fuzzy Syst., 2019
A Kriging-Assisted Reference Vector Guided Multi-Objective Evolutionary Fuzzy Clustering Algorithm for Image Segmentation.
IEEE Access, 2019
Alternate PSO-Based Adaptive Interval Type-2 Intuitionistic Fuzzy C-Means Clustering Algorithm for Color Image Segmentation.
IEEE Access, 2019
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
Semi-supervised recurrent complex-valued convolution neural network for polsar image classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
J. Intell. Fuzzy Syst., 2018
Intuitionistic fuzzy set approach to multi-objective evolutionary clustering with multiple spatial information for image segmentation.
Neurocomputing, 2018
Pareto-based interval type-2 fuzzy <i>c</i>-means with multi-scale JND color histogram for image segmentation.
Digit. Signal Process., 2018
CoRR, 2018
2016
Adaptive Multi-level Thresholding Segmentation Based on Multi-objective Evolutionary Algorithm.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016
2015
Appl. Soft Comput., 2015
2014
Optimal-selection-based suppressed fuzzy c-means clustering algorithm with self-tuning non local spatial information for image segmentation.
Expert Syst. Appl., 2014
2013
Kernel generalized fuzzy c-means clustering with spatial information for image segmentation.
Digit. Signal Process., 2013
A Multiobjective Fuzzy Clustering Algorithm Based on Robust Local Spatial Information for Image Segmentation.
Proceedings of the Intelligence Science and Big Data Engineering, 2013
2012
Appl. Soft Comput., 2012
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012
2011
A novel fuzzy clustering algorithm with non local adaptive spatial constraint for image segmentation.
Signal Process., 2011
Fuzzy c-means clustering with non local spatial information for noisy image segmentation.
Frontiers Comput. Sci. China, 2011
2010
Unsupervised texture image segmentation using multilayer data condensation spectral clustering.
J. Electronic Imaging, 2010
Neurocomputing, 2010