Two-Dimension Maximum Entropy Image Segmentation Approach Based on Chaotic Optimization. - Xue-Feng Zhang; Jiulun Fan 001; Feng Zhao 005 (ICAT Workshops, 2006)

Three-Dimension Maximum Between-Cluster Variance Image Segmentation Method Based on Chaotic Optimization. - Jiulun Fan 001; Xue-Feng Zhang; Feng Zhao 005 (VSMM, 2006)

Image Segmentation by Multi-level Thresholding Based on C-Means Clustering Algorithms and Fuzzy Entropy. - Feng Zhao 005; Jiulun Fan 001 (ICFIE, 2007)

Non-local spatial spectral clustering for image segmentation. - Hanqiang Liu 001; Licheng Jiao; Feng Zhao 005 (Neurocomputing, 2010)

Spectral clustering with eigenvector selection based on entropy ranking. - Feng Zhao 005; Licheng Jiao; Hanqiang Liu 001; Xinbo Gao 001; Maoguo Gong (Neurocomputing, 2010)

Unsupervised texture image segmentation using multilayer data condensation spectral clustering. - Hanqiang Liu 001; Licheng Jiao; Feng Zhao 005 (J. Electronic Imaging, 2010)

Spatial improved fuzzy c-means clustering for image segmentation. - Feng Zhao 005; Licheng Jiao (EMEIT, 2011)

Spectral clustering with fuzzy similarity measure. - Feng Zhao 005; Hanqiang Liu 001; Licheng Jiao (Digit. Signal Process., 2011)

Fuzzy c-means clustering with non local spatial information for noisy image segmentation. - Feng Zhao 005; Licheng Jiao; Hanqiang Liu 001 (Frontiers Comput. Sci. China, 2011)

A novel fuzzy clustering algorithm with non local adaptive spatial constraint for image segmentation. - Feng Zhao 005; Licheng Jiao; Hanqiang Liu 001; Xinbo Gao 001 (Signal Process., 2011)

An Adaptive Non Local Spatial Fuzzy Image Segmentation Algorithm. - Hanqiang Liu 001; Feng Zhao 005 (ICIC (1), 2012)

Fuzzy spectral clustering with robust spatial information for image segmentation. - Hanqiang Liu 001; Feng Zhao 005; Licheng Jiao (Appl. Soft Comput., 2012)

A Multiobjective Fuzzy Clustering Algorithm Based on Robust Local Spatial Information for Image Segmentation. - Feng Zhao 005; Hanqiang Liu 001; Jiulun Fan 001 (IScIDE, 2013)

Kernel generalized fuzzy c-means clustering with spatial information for image segmentation. - Feng Zhao 005; Licheng Jiao; Hanqiang Liu 001 (Digit. Signal Process., 2013)

Fuzzy clustering algorithms with self-tuning non-local spatial information for image segmentation. - Feng Zhao 005 (Neurocomputing, 2013)

Fuzzy Linear Discriminant Analysis-guided maximum entropy fuzzy clustering algorithm. - Xiaobin Zhi; Jiulun Fan 001; Feng Zhao 005 (Pattern Recognit., 2013)

Optimal-selection-based suppressed fuzzy c-means clustering algorithm with self-tuning non local spatial information for image segmentation. - Feng Zhao 005; Jiulun Fan 001; Hanqiang Liu 001 (Expert Syst. Appl., 2014)

Robust local feature weighting hard c-means clustering algorithm. - Xiaobin Zhi; Jiulun Fan 001; Feng Zhao 005 (Neurocomputing, 2014)

A multiobjective spatial fuzzy clustering algorithm for image segmentation. - Feng Zhao 005; Hanqiang Liu 001; Jiulun Fan 001 (Appl. Soft Comput., 2015)

Adaptive Multi-level Thresholding Segmentation Based on Multi-objective Evolutionary Algorithm. - Yue Zheng; Feng Zhao 005; Hanqiang Liu 001; Jun Wang (ICSI (1), 2016)

Object tracking based on bit-planes. - Na Li; Xiangmo Zhao; Ying Liu 026; Daxiang Li 002; Shiqian Wu; Feng Zhao 005 (J. Electronic Imaging, 2016)

POLSAR Image Classification via Clustering-WAE Classification Model. - Wen Xie; Ziwei Xie; Feng Zhao 005; Bo Ren (IEEE Access, 2018)

Pareto-based interval type-2 fuzzy c-means with multi-scale JND color histogram for image segmentation. - Hanqiang Liu 001; Feng Zhao 005; Vipin Chaudhary (Digit. Signal Process., 2018)

Intuitionistic fuzzy set approach to multi-objective evolutionary clustering with multiple spatial information for image segmentation. - Feng Zhao 005; Hanqiang Liu 001; Jiulun Fan 001; Chang Wen Chen; Rong Lan; Na Li (Neurocomputing, 2018)

Interval fuzzy spectral clustering ensemble algorithm for color image segmentation. - Hanqiang Liu 001; Qing Zhang; Feng Zhao 005 (J. Intell. Fuzzy Syst., 2018)

Semi-supervised recurrent complex-valued convolution neural network for polsar image classification. - Feng Zhao 005; Gaini Ma; Wen Xie; Hanqiang Liu 001 (IGARSS, 2019)

Complex-Valued Wishart Stacked Auto-Encoder Network for Polsar Image Classification. - Wen Xie; Gaini Ma; Wenqiang Hua; Feng Zhao 005 (IGARSS, 2019)

Alternate PSO-Based Adaptive Interval Type-2 Intuitionistic Fuzzy C-Means Clustering Algorithm for Color Image Segmentation. - Feng Zhao 005; Yilei Chen; Hanqiang Liu 001; Jiulun Fan 001 (IEEE Access, 2019)

A Kriging-Assisted Reference Vector Guided Multi-Objective Evolutionary Fuzzy Clustering Algorithm for Image Segmentation. - Feng Zhao 005; Zhe Zeng; Hanqiang Liu 001; Jiulun Fan 001 (IEEE Access, 2019)

A multi-objective interval valued fuzzy clustering algorithm with spatial information for noisy image segmentation. - Feng Zhao 005; Chaoqi Li; Hanqiang Liu 001; Jiulun Fan 001 (J. Intell. Fuzzy Syst., 2019)

Noise Robust Multiobjective Evolutionary Clustering Image Segmentation Motivated by the Intuitionistic Fuzzy Information. - Feng Zhao 005; Jiulun Fan 001; Hanqiang Liu 001; Rong Lan; Chang Wen Chen (IEEE Trans. Fuzzy Syst., 2019)

Deep Learning Based Classification Using Semantic Information for Polsar Image. - Lu Zhang 028; Wen Xie; Feng Zhao 005; Hanqiang Liu 001; Yiping Duan (IGARSS, 2020)

PolSAR image classification via a novel semi-supervised recurrent complex-valued convolution neural network. - Wen Xie; Gaini Ma; Feng Zhao 005; Hanqiang Liu 001; Lu Zhang 028 (Neurocomputing, 2020)

Adaptive multilevel thresholding based on multiobjective artificial bee colony optimization for noisy image segmentation. - Feng Zhao 005; Min Xie; Hanqiang Liu 001; Jiulun Fan 001; Rong Lan; Wen Xie; Yue Zheng (J. Intell. Fuzzy Syst., 2020)

A New Parallel Dual-Channel Fully Convolutional Network Via Semi-Supervised FCM for PolSAR Image Classification. - Feng Zhao 005; Min Tian; Wen Xie; Hanqiang Liu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Semisupervised Approach to Surrogate-Assisted Multiobjective Kernel Intuitionistic Fuzzy Clustering Algorithm for Color Image Segmentation. - Feng Zhao 005; Zhe Zeng; Hanqiang Liu 001; Rong Lan; Jiulun Fan 001 (IEEE Trans. Fuzzy Syst., 2020)

Semi-Supervised PolSAR Image Classification Based on Deep Co-Training with Superpixel Restrained Strategy. - Feng Zhao 005; Lin Liu; Lu Zhang 028; Hanqiang Liu 001; Yanyang Cheng (IGARSS, 2021)

Multiobjective fuzzy clustering with multiple spatial information for Noisy color image segmentation. - Hanqiang Liu 001; Feng Zhao 005 (Appl. Intell., 2021)

Coarse-fine surrogate model driven multiobjective evolutionary fuzzy clustering algorithm with dual memberships for noisy image segmentation. - Feng Zhao 005; Feifan Liu; Chaoqi Li; Hanqiang Liu 001; Rong Lan; JiuLun Fan 001 (Appl. Soft Comput., 2021)

Just noticeable difference color space consistency spectral clustering based on firefly algorithm for image segmentation. - Hanqiang Liu 001; Yuan Sun; Ning Sun; Feng Zhao 005 (Evol. Intell., 2021)

Densely Connected Pyramidal Dilated Convolutional Network for Hyperspectral Image Classification. - Feng Zhao 005; Junjie Zhang 011; Zhe Meng; Hanqiang Liu 001 (Remote. Sens., 2021)

SS-MLP: A Novel Spectral-Spatial MLP Architecture for Hyperspectral Image Classification. - Zhe Meng; Feng Zhao 005; Miaomiao Liang (Remote. Sens., 2021)

Deep Residual Involution Network for Hyperspectral Image Classification. - Zhe Meng; Feng Zhao 005; Miaomiao Liang; Wen Xie (Remote. Sens., 2021)

Hyperspectral Image Classification With Mixed Link Networks. - Zhe Meng; Licheng Jiao; Miaomiao Liang; Feng Zhao 005 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Residual Dense Asymmetric Convolutional Neural Network for Hyperspectral Image Classification. - Zhe Meng; Junjie Zhang 011; Feng Zhao 005; Hanqiang Liu 001; Zhenhui Chang (IGARSS, 2022)

Polsar Image Classification Via Auxiliary Classifier Generative Adversarial Network. - Wen Xie; Xin Yang; Ruonan Wang; Feng Zhao 005 (IGARSS, 2022)

Broad learning approach to Surrogate-Assisted Multi-Objective evolutionary fuzzy clustering algorithm based on reference points for color image segmentation. - Feng Zhao 005; Yu Liu; Hanqiang Liu 001; Jiulun Fan 001 (Expert Syst. Appl., 2022)

Robust intuitionistic fuzzy clustering with bias field estimation for noisy image segmentation. - Feng Zhao 005; Hao Hao; Hanqiang Liu 001 (Intell. Data Anal., 2022)

A Lightweight Spectral-Spatial Convolution Module for Hyperspectral Image Classification. - Zhe Meng; Licheng Jiao; Miaomiao Liang; Feng Zhao 005 (IEEE Geosci. Remote. Sens. Lett., 2022)

Convolution Transformer Mixer for Hyperspectral Image Classification. - Junjie Zhang 011; Zhe Meng; Feng Zhao 005; Hanqiang Liu 001; Zhenhui Chang (IEEE Geosci. Remote. Sens. Lett., 2022)

Particle Competitive Mechanism Based Multiobjective Rough Clustering Algorithm for Image Segmentation. - Feng Zhao 005; Lulu Cao; Hanqiang Liu 001; Zihan Tang; JiuLun Fan 001 (IEEE Trans. Fuzzy Syst., 2022)

Depthwise Separable Residual Dual-attention GAN for Underwater Image Enhancement. - Rong Lan; Di Guo; Yuhao Sun; Feng Zhao 005; Haiyan Yu 001; Lu Zhang 028 (AIPR, 2023)

Prediction of MOOCs Dropout Based on IQPSO-PLSTM Model. - Xiao Chen; Hanqiang Liu 001; Feng Zhao 005 (ICMAI, 2023)

Multi-Scale Feature Attention and Transformer for Hyperspectral Image Classification. - Zhe Meng; Qian Yan; Feng Zhao 005; Miaomiao Liang (WHISPERS, 2023)

Hyperspectral Image Classification with Dynamic Spatial-Spectral Attention Network. - Zhe Meng; Qian Yan; Feng Zhao 005; Miaomiao Liang (WHISPERS, 2023)

A knee point driven Kriging-assisted multi-objective robust fuzzy clustering algorithm for image segmentation. - Feng Zhao 005; Zhilei Xiao; Hanqiang Liu 001; Zihan Tang; Jiulun Fan 001 (Knowl. Based Syst., 2023)

Convolution Transformer Fusion Splicing Network for Hyperspectral Image Classification. - Feng Zhao 005; Shijie Li; Junjie Zhang 011; Hanqiang Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

A reliable region information driven kriging-assisted multiobjective rough fuzzy clustering algorithm for color image segmentation. - Feng Zhao 005; Zihan Tang; Hanqiang Liu 001; Zhilei Xiao; JiuLun Fan 001 (Expert Syst. Appl., 2023)

Multiple vision architectures-based hybrid network for hyperspectral image classification. - Feng Zhao 005; Junjie Zhang 011; Zhe Meng; Hanqiang Liu 001; Zhenhui Chang; Jiulun Fan 001 (Expert Syst. Appl., 2023)

Multiple population-based multi-objective evolutionary semi-supervised multi-kernel region fuzzy clustering image segmentation. - Feng Zhao 005; Mimi Zhang; Hanqiang Liu 001 (Memetic Comput., 2023)

End-to-end Spatio-Temporal Information Aggregation For Micro-Action Detection. - Jun Yu 001; Mohan Jing; Guopeng Zhao; Keda Lu; Yifan Wang; Feng Zhao 005; Jiaqing Sun; Qingsong Liu; Jiaen Liang (ACM Multimedia, 2024)

Multi-scale cross-layer feature interaction GAN for underwater image enhancement. - Rong Lan; Di Guo; Pengyan Du; Yuhao Sun; Feng Zhao 005; HaiYan Yu 001; Lu Zhang 028 (Digit. Signal Process., 2024)

Data and knowledge-driven dual surrogate-assisted multi-objective rough fuzzy clustering algorithm for image segmentation. - Feng Zhao 005; Caini Lu; Hanqiang Liu 001 (Eng. Appl. Artif. Intell., 2024)

Lightweight anchor-free one-level feature indoor personnel detection method based on transformer. - Feng Zhao 005; Yongheng Li; Hanqiang Liu 001; Junjie Zhang 011; Zhenglin Zhu (Eng. Appl. Artif. Intell., 2024)

Ensemble CART surrogate-assisted automatic multi-objective rough fuzzy clustering algorithm for unsupervised image segmentation. - Feng Zhao 005; Zihan Tang; Zhilei Xiao; Hanqiang Liu 001; JiuLun Fan 001; Lu Li (Eng. Appl. Artif. Intell., 2024)

Data and knowledge-driven deep multiview fusion network based on diffusion model for hyperspectral image classification. - Junjie Zhang 011; Feng Zhao 005; Hanqiang Liu 001; Jun Yu 001 (Expert Syst. Appl., 2024)

Multiscale Super Token Transformer for Hyperspectral Image Classification. - Zhe Meng; Taizheng Zhang; Feng Zhao 005; Gaige Chen; Miaomiao Liang (IEEE Geosci. Remote. Sens. Lett., 2024)

Semi-Supervised Co-Training Model Using Convolution and Transformer for Hyperspectral Image Classification. - Feng Zhao 005; Xiqun Song; Junjie Zhang 011; Hanqiang Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Multiscale Alignment and Progressive Feature Fusion Network for High Resolution Remote Sensing Images Change Detection. - Feng Zhao 005; Zhenglin Zhu; Hanqiang Liu 001; Junjie Zhang 011 (IEEE Trans. Geosci. Remote. Sens., 2024)

Parameter selection of suppressed relative entropy fuzzy c-means clustering algorithm. - Jing Li; Bin Jia; Jiulun Fan 001; Haiyan Yu 001; Yifan Hu; Feng Zhao 005 (J. Intell. Fuzzy Syst., 2024)

Learning behavior feature fused deep learning network model for MOOC dropout prediction. - Hanqiang Liu 001; Xiao Chen; Feng Zhao 005 (Educ. Inf. Technol., 2024)

Modified suppressed relative entropy fuzzy c-means clustering algorithm. - Jing Li; Yifan Hu; Jiulun Fan 001; Haiyan Yu 001; Bin Jia; Rui Liu 008; Feng Zhao 005 (J. Intell. Fuzzy Syst., 2024)

Dynamic noise self-recovery ECM clustering algorithm with adaptive spatial constraints for image segmentation. - Rong Lan; Bo Wang 094; Xiaoying Yu; Feng Zhao 005; Haowen Mi; Haiyan Yu 001; Lu Zhang 028 (Appl. Intell., 2024)

Channel-Reduced Transformer With Cross-Region Tokenization for Hyperspectral Image Classification. - Zhe Meng; Taizheng Zhang; Feng Zhao 005; Wenqiang Hua; Tian Sun (IEEE Signal Process. Lett., 2025)

Global-Local Multigranularity Transformer for Hyperspectral Image Classification. - Zhe Meng; Qian Yan; Feng Zhao 005; Gaige Chen; Wenqiang Hua; Miaomiao Liang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Knowledge-guided classification and regression surrogates co-assisted multi-objective soft subspace clustering algorithm. - Feng Zhao 005; Lu Li; Hanqiang Liu 001 (Appl. Intell., 2025)