Learning kernel parameters for kernel Fisher discriminant analysis. - Jing Liu 018; Feng Zhao 006; Yi Liu 051 (Pattern Recognit. Lett., 2013)

Hyperspectral Images Terrain Classification in Combination Spectrum DLDA Subspace. - Jing Liu 018; Yi Liu 051; Jin Wu (J. Comput., 2014)

Memetic algorithm with simulated annealing strategy and tightness greedy optimization for community detection in networks. - Caihong Mu; Jin Xie; Yong Liu; Feng Chen; Yi Liu 051; Licheng Jiao (Appl. Soft Comput., 2015)

Modified particle swarm optimization-based multilevel thresholding for image segmentation. - Yi Liu 051; Caihong Mu; Weidong Kou; Jing Liu 018 (Soft Comput., 2015)

Multiobjective nondominated neighbor coevolutionary algorithm with elite population. - Caihong Mu; Licheng Jiao; Yi Liu 051; Yangyang Li 001 (Soft Comput., 2015)

Hyperspectral remote sensing image terrain classification based on M-ary discriminant analysis. - Jing Liu 018; Yi Liu 051 (ICNC-FSKD, 2016)

Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems. - Caihong Mu; Huiwen Cheng; Wei Feng; Yi Liu 051; Rong Qu (CEC, 2017)

Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm. - Caihong Mu; Chengzhou Li; Yi Liu 051; Menghua Sun; Licheng Jiao; Rong Qu (CEC, 2017)

DCT MFA subspace hyperspectral remote sensing images terrain classification. - Jing Liu 018; Meng-yan Li; Yi Liu 051 (ICNC-FSKD, 2017)

Terrain classification of hyperspectral remote sensing images based on kernel maximum margin criterion. - Jing Liu 018; Cheng-cheng Qiu; Yi Liu 051 (ICNC-FSKD, 2017)

Hyperspectral Remote Sensing Images Terrain Classification Based on PCA-KMFA. - Jing Liu 018; Meng-yan Li; Yi Liu 051 (ICNC-FSKD, 2018)

Hyperspectral Remote Sensing Images Feature Extraction Based on Weighted Classwise Non-locality Preserving Projection. - Jing Liu 018; Ting-Ting Li; Tong Zhang; Yi Liu 051 (ICNC-FSKD, 2019)

Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images. - Caihong Mu; Chengzhou Li; Yi Liu 051; Rong Qu; Licheng Jiao (Appl. Soft Comput., 2019)

Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks. - Caihong Mu; Jian Zhang; Yi Liu 051; Rong Qu; Tianhuan Huang (Soft Comput., 2019)

Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates. - Caihong Mu; Jian Liu 022; Yi Liu 051; Yijin Liu (IEEE Access, 2020)

A Multi-Scale and Multi-Level Spectral-Spatial Feature Fusion Network for Hyperspectral Image Classification. - Caihong Mu; Zhen Guo; Yi Liu 051 (Remote. Sens., 2020)

A Multi-Branch Network based on Weight Sharing and Attention Mechanism for Hyperspectral Image Classification. - Zhen Guo; Caihong Mu; Yi Liu 051 (IGARSS, 2021)

Hyperspectral Images Unmixing Based on Abundance Constrained Multi-Layer KNMF. - Jing Liu 018; You Zhang; Yi Liu 051; Caihong Mu (IEEE Access, 2021)

A Two-Branch Network Combined With Robust Principal Component Analysis for Hyperspectral Image Classification. - Caihong Mu; Qize Zeng; Yi Liu 051; Yi Qu (IEEE Geosci. Remote. Sens. Lett., 2021)

Hyperspectral Remote Sensing Images Deep Feature Extraction Based on Mixed Feature and Convolutional Neural Networks. - Jing Liu 018; Zhe Yang; Yi Liu 051; Caihong Mu (Remote. Sens., 2021)

Hyperspectral Image Spectral-Spatial Classification Method Based on Deep Adaptive Feature Fusion. - Caihong Mu; Yijin Liu; Yi Liu 051 (Remote. Sens., 2021)

Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous Graphs. - Caihong Mu; Heyuan Huang; Yi Liu 051; Jiashen Luo (ICDM (Workshops), 2022)

A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samples. - Zhidong Dong; Caihong Mu; Haikun Yu; Yi Liu 051 (ICIS, 2022)

Virtual information core optimization for collaborative filtering recommendation based on clustering and evolutionary algorithms. - Caihong Mu; Weizhu Chen; Yi Liu 051; Dongchang Lei; Ruochen Liu (Appl. Soft Comput., 2022)

Hyperspectral Remote Sensing Images Feature Extraction Based on Higher-Order Spectra. - Jing Liu 018; Tong Zhang; Yi Liu 051; Feng Zhao 006 (IEEE Geosci. Remote. Sens. Lett., 2022)

A Two-Branch Convolutional Neural Network Based on Multi-Spectral Entropy Rate Superpixel Segmentation for Hyperspectral Image Classification. - Caihong Mu; Zhidong Dong; Yi Liu 051 (Remote. Sens., 2022)

A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous Graphs. - Caihong Mu; Heyuan Huang; Yunfei Fang 002; Yi Liu 051 (ICDM, 2023)

A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation. - Jiahuan Chen; Caihong Mu; Mohammed Alloaa; Yi Liu 051 (KSEM (3), 2023)

GMiRec: A Multi-image Visual Recommendation Model Based on a Gated Neural Network. - Caihong Mu; Xin Tang; Jiashen Luo; Yi Liu 051 (KSEM (2), 2023)

A Graph Neural Network for Cross-domain Recommendation Based on Transfer and Inter-domain Contrastive Learning. - Caihong Mu; Jiahui Ying; Yunfei Fang 002; Yi Liu 051 (KSEM (3), 2023)

AutoShape: Automatic Design of Click-Through Rate Prediction Models Using Shapley Value. - Yunfei Fang 002; Caihong Mu; Yi Liu 051 (PRICAI (2), 2023)

A Multi-scale Densely Connected and Feature Aggregation Network for Hyperspectral Image Classification. - Jian Zhu; Yi Liu 051; Jiajie Feng; Caihong Mu (PRICAI (3), 2023)

Hyperspectral Remote Sensing Images Feature Extraction Based on Spectral Fractional Differentiation. - Jing Liu 018; Yang Li 218; Feng Zhao 006; Yi Liu 051 (Remote. Sens., 2023)

A Feature Embedding Network with Multiscale Attention for Hyperspectral Image Classification. - Yi Liu 051; Jian Zhu; Jiajie Feng; Caihong Mu (Remote. Sens., 2023)

Enhancing Embeddings Quality with Stacked Gate for Click-Through Rate Prediction. - Caihong Mu; Yunfei Fang 002; Jialiang Zhou; Yi Liu 051 (ICDM, 2024)

AutoMaster: Differentiable Graph Neural Network Architecture Search for Collaborative Filtering Recommendation. - Caihong Mu; Haikun Yu; Keyang Zhang; Qiang Tian; Yi Liu 051 (ICWE, 2024)

Multi-interest Awareness Model for Session-based Recommendation. - Caihong Mu; Jiahuan Chen; Yunlong Chen; Yi Liu 051 (ICWS, 2024)

A Multi-Attention Network with Multi-Level Spatial-Spectral Feature Fusion Based on Band Selection for Hyperspectral Image Classification. - Yujie Yan; Yi Liu 051; Yafeng Wang; Caihong Mu (IJCNN, 2024)

Dual Graph Convolutional Network for Hyperspectral Images With Spatial Graph and Spectral Multigraph. - Jing Liu 018; Ting Li; Feng Zhao 006; Yi Liu 051 (IEEE Geosci. Remote. Sens. Lett., 2024)

Few-Shot Open-Set Hyperspectral Image Classification With Adaptive Threshold Using Self-Supervised Multitask Learning. - Caihong Mu; Yu Liu; Xiangrong Yan; Aamir Ali; Yi Liu 051 (IEEE Trans. Geosci. Remote. Sens., 2024)

Spatial Feature Enhancement and Attention-Guided Bidirectional Sequential Spectral Feature Extraction for Hyperspectral Image Classification. - Yi Liu 051; Shanjiao Jiang; Yijin Liu; Caihong Mu (Remote. Sens., 2024)

Perturbation-driven Dual Auxiliary Contrastive Learning for Collaborative Filtering Recommendation. - Caihong Mu; Keyang Zhang; Jialiang Zhou; Yi Liu 051 (COLING, 2025)

Multi-task Learning Based on Dense Feature Pyramid Network and Multi-scale Attention for Class-Imbalanced Hyperspectral Image Classification. - Yu Liu; Caihong Mu; Yi Liu 051; Yafeng Wang (ICIC (10), 2025)

UNet-PRFN: A Lightweight Network Based on 3D U-Net for Few-Shot Hyperspectral Image Classification. - Yafeng Wang; Yi Liu 051; Caihong Mu (ICIC (17), 2025)

GhostNet and pair-wise similarity module for cross-domain few-shot classification of hyperspectral images. - Caihong Mu; Fugui Zhang; Jiajie Feng; Mosa Haidarh; Yi Liu 051 (Appl. Soft Comput., 2025)

RoSENet: Rotation and Similarity Enhancement Network for Multimodal Remote Sensing Image Land Cover Classification. - Bokun Ma; Caihong Mu; Yi Liu 051; Xinyu He; Mosa Haidarh (IEEE Trans. Geosci. Remote. Sens., 2025)

Dual-view data augmentation at subgraph level and graph contrastive learning for sequential recommendation. - Caihong Mu; Haikun Yu; Lang Qin; Yi Liu 051 (Mach. Learn., 2025)